Modelling of WCDMA Base Station Signal in Multipath Environment
|
|
- Colin Barton
- 5 years ago
- Views:
Transcription
1 Volume 3, Issue 3, March 4 ISSN Modelling of WCDMA Base Station Signal in Multipath Environment Ch Usha Kumari, G Sasi Bhushana Rao Department of Electronics and Communication Engineering, G Narayanamma Institute of Technology and Sciences Department of Electronics and Communication Engineering Andhra University College of Engineering, Visakhapatnam Abstract The performance of wireless communication systems is mainly limited by mobile radio channel. In urban or dense urban areas, there may not be any direct line-of-sight path between a mobile and a base station antenna. Instead, the signal may arrive at a mobile station over a number of different paths after being reflected from tall buildings, towers, and so on. The signal received over each path has a random amplitude and phase. These variations are very rapid and occur over short distances called as fast or short-term variations. In this paper, the short-term variations, called multipath variations in the received signal at the base station of a WCDMA network are modelled for a typical dense populated urban environment. The transmitted RF carrier wave undergoes Doppler shift and fading in the multipath environment. If the MS is moving away from BS or towards the BS then there occurs apparent shift in frequency of the received signal, which is called Doppler shift. These effects are modelled and simulated. In the simulation, the relationship between Doppler shift and the arrival angle () of the received signal with respect to the mobile direction of travel is evaluated. It is observed that deeper fades occurred for arrival angle of =8 and =9 and fades are reduced for arrival angles of =45 and =3. So fade rate decreases as the angle spread () decreases. It observed that the wider the spectrum the faster the variations. KEYWORDS: WIDEBAND CDMA, MULTIPATH, FADING, DOPPLER SHIFT, RAYLEIGH DISTRIBUTION.. INTRODUCTION The transmission path of signal between the transmitter and receiver varies due to obstructions from buildings, mountains, trees, etc. The three basic mechanisms that effect the signal propagation in mobile communication system are Reflection, Diffraction and Scattering. These effects normally occur due to environmental features close to mobile station (MS) and when the base station (BS) is surrounded by local features effecting propagation characteristics. The electromagnetic wave travels along different paths of varying lengths due to multiple reflections from the various objects. Interaction between these electromagnetic waves causes multipath fading and the strength of these waves decreases as distance between the transmitter and the receiver increases. Propagation models are used for predicting the average received signal strength for a given distance from transmitter and also the variation of signal strength. Three levels of signal variations [,,4] can be seen on the received signal at base station of a WCDMA cellular network. Very slow variations are mainly due to range. Slow/long term variations are due to shadowing. Fast/short term variations are due to multipath. The signal strength at any point may vary and it depends on distance, carrier frequency, type of antenna used, the antenna height, atmospheric conditions. This type of signal variation that is observed over long distances i.e, a few tens or hundreds of wavelengths follows lognormal distribution and is termed as large scale variation. Propagation models that characterize rapid fluctuations of received signal strength over very short travels distances say few wavelengths or for short time durations say order of seconds can be classified as small scale fading models. This type of variation in the signal is due to multipath reflections. This is observed in urban and dense urban areas where there is no direct line of sight between mobile station and base station antenna and the signal may arrive the MS over different paths after reflecting from tall buildings or towers and so on. The most two common scenarios seen in signal propagation are LOS (Line of Sight) and NLOS (Non Line of Sight) []. LOS is the case where a strong direct signal is available along with the number of weak multipath echoes. This generally occurs in open areas and in city centres such as cross roads with good visibility of Base Station (BS). Rice Distribution models these variations of the received RF signal envelope. NLOS is the case where there is no direct signal but very week multipath echoes are present. This is generally seen in big urban environments and also seen in rural environments where the signal is blocked by dense masses of tress. Under these conditions, the received signal amplitude variations are modeled with Rayleigh Distribution. The main objective of this paper is to determine short-term variations/multipath variation in the received signal at the base station in a typical environment. Volume 3, Issue 3, March 4 Page 34
2 Volume 3, Issue 3, March 4 ISSN BACKGROUND A. Doppler Shift Doppler shift is an important phenomenon in multipath conditions[,3,4,7]. Due to relative motion between the mobile and the base station, every multipath wave experiences an apparent shift in the frequency. This shift in frequency in the received signal is called Doppler shift. The relation between Doppler shift and arrival angle/radio path length is V fd fmax cos( ) cos( ) () c Where - arrival angle/radio path fd -is the Doppler shift V -is the mobile speed Multipath components from a continuous wave (CW) signal from different directions contribute to the Doppler spreading of received signal and increase the signal bandwidth. B. Rayleigh Distribution The radio wave that is transmitted from the BS to MS radiates in all directions. These radio waves may be reflected or scattered due the obstacles between BS and MS. In this case the path lengths of the reflected, diffracted, and scattering waves are different, the time each takes to reach the mobile station will be different. The direct signal is assumed to be completely blocked in multipath signal variations. These variations are usually modeled by Rayleigh distributions. The Probability Distribution function (PDF)of Rayleigh distribution is derived from [,4,7] r r f R r exp all r () The Cumulative Distribution Function is derived from [, 4, 7] r FR r exp for all r (3) The parameters of Rayleigh distribution are defined as follows mean ( R) ER Rf ( R) dr.533 (4) rms ( R) E R R f ( R) dr (5) 4 variance(r)= E R ER.49 R exp.5, thus, medianr ln.774 (7) E[ ] is the expectation operator 3. ASSUMPTIONS CASE A The simulation is done by assuming the MS is moving towards the BS with a constant velocity V=36Km/hr (m/s), distance between the MS and BS is Km (m). It is assumed only direct signal is present. Figure shows the simulation geometry. The simulation is done for a short stretch of the mobile route, so the received signal has constant amplitude, but rapid variations in phase. And at the same time the received carrier frequency is shifted i.e. Doppler shift. 3G WCDMA system is assumed so the frequency is taken as GHz (MHz). The mobile route is sampled 8 with a spacing x=/6. The corresponding wavelength is 3 c c/ fc.5m, where c is the speed of light, m/s. The sampling spacing x=/6=.94= 9.375mm. The sampling interval t s depends on mobile speed V, thus t s = x/v =.937. Sampling frequency f s =/t s =V/ x=67hz. (6) Volume 3, Issue 3, March 4 Page 35
3 Volume 3, Issue 3, March 4 ISSN If the MS is approaching the BS at a speed V, then the received complex envelope, r(t) is r( t) a exp jkcd t a exp j d t (8) C Where d t is the BS-MS distance or radio path, which varies according to the mobile speed V. If the term d tincreases the phase decreases and vice versa CASE B In this section, the signal is considered to be completely blocked and two point scatters are assumed through which the transmitted signal arrives at the receiver. The two main aspects to be observed here is fade rate and Doppler spread. The scattering is caused due to reflection from small objects like lamp posts, traffic signals, cars, trees and rough surfaces. The simulation geometry is shown in Figure. Here it is assumed that scattered signals are located in front and behind the MS. Thus echoes from the two point scatters arrive at angles of = and =8 which are shown in Figure and the Doppler shifts depend on the arrival angles. The point scatter is observed by changing the angles between 3 <<8. Figure : Simulation Geometry The complex envelope is calculated as r n exp jk d n exp jk d n (9) C C 4. RESULTS AND DISCUSSION Figure 3 shows Rayleigh PDF and CDF functions for mode value () of. CDF gives the probability that a given signal level is not exceeded. i.e., if this signal level is set as the system s operation threshold, then this gives the probability that the signal level is equal to or below the threshold. The CDF is very useful in computing outage probabilities in link budgets i.e, CDF gives the outage probability. Knowing the CDF fade margins can also be set up. Table3.shows the parameters values for mode value () of TABLE : RAYLEIGH DISTRIBUTION PARAMETERS FOR MODE VALUE OF S.NO PARAMETERS VALUES MODE () MEDIAN.8 3 MEAN VALUE.5 4 RMS VALUE 5 STANDARD DEVIATION.665 The below Table 3. shows the cumulative distribution function values and probability density function values for the mode value of. TABLE CDF AND PDF FOR RAYLEIGH DISTRIBUTION S.NO CDF PDF Volume 3, Issue 3, March 4 Page 36
4 Volume 3, Issue 3, March 4 ISSN The phase changes with time and distance as the MS is moving. The absolute phase increases when the MS is moving towards the BS. This is shown in Figure 4. It is observed from the plot that when distance is decreasing phase increases thus gives rise to positive Doppler shift. Comparison between the plots is shown by varying which is called the radio path angle or arrival angle. When arrival angle =9 the Doppler shift is Hz. Here the radio path is perpendicular to the MS route. But when =6, 3 and the arrival angle increases as MS moves towards the BS. That means phase increases with increases in distance. Figure 5 shows the absolute phase when the MS station is moving away from BS. It is observed from the plot, when MS is moving away from the BS, the phase decreases, thus gives negative Doppler shift. Comparisons are shown in the plot for different arrival angles. The first one corresponds to when the MS is travelling away from BS with =9. The phase decreases further more for =, =5 and =8 with greater slope. It is concluded that for arrival angle <9 positive increments in phase occurred with positive Doppler shift, for >9 the phase decreases with negative Doppler shift and for arrival angle of =9 the phase increment is zero and so Doppler shift is also zero. 45 Absolute phase when MS is moving towards the BS 5 Absolute phase when MS is moving away from BS Absolute phase of complex envelope (rad) alpha= alpha=3 alpha=6 alpha= Traveled distance (m) Figure 4 Absolute phase when MS is approaching the BS Absolute phase of complex envelope (rad) alpha=9 alpha= alpha=5 alpha= Traveled distance (m) Figure 5 Absolute phase when MS is moving away from BS Figure 6 and 7 shows the Doppler spectrum when MS is moving towards the BS. This spectrum is simulated for arrival angles of = and =9. Figure 6 shows Doppler shift if 66.67Hz for arrival angle of = i.e. positive Doppler frequency. Figure 7 shows zero Doppler shift i.e. Hz for =9. Normalized frquency response (db) X: Y: Normalized frquency response (db ) X: Y: Figure 6: Doppler Spectrum when MS is approaching the BS, = Figure 7: Doppler Spectrum when MS is approaching the BS, =9 Volume 3, Issue 3, March 4 Page 37
5 Volume 3, Issue 3, March 4 ISSN Figure Received Signal pattern for =45 Figure 3 Received Signal pattern for =3 Figures 8 and 9 shows the Doppler spectrum when MS is moving away from BS. In Figure 8 it is observed that the Doppler shift is negative which is equal to Hz for arrival angle of, =8. Negative frequency or negative Doppler shift implies that the mobile is moving away from BS. In Figure 9 the Doppler shift is Hz for =. Normalized frquency response (db) X: Y: Normalized frquency response (db) X: Y: Figure 8: Doppler Spectrum when MS is travelling away from the BS, = Figure 9: Doppler Spectrum when MS is travelling away from the BS, = Figures,, and 3 shows the received complex signal amplitude. It is seen how the received signal fluctuates between (+6dB) and (-). Deep fades occurred for arrival angle of 8 and 9. Fading is decreased for arrival angle of =45 and =3. So the received signals fade rate decreases i.e. rate of change are slower, as the angle spread decreases from 8 to 3. When Doppler spread is, taken then there is no fading Figure Received Signal pattern for =8 Figure Received Signal pattern for =9 Table 3 and 4 shows the normalized magnitude of the received complex signal at various time instances, when mobile is moving with speed of m/s and for arrival angle =45 and =3. Volume 3, Issue 3, March 4 Page 38
6 Volume 3, Issue 3, March 4 ISSN Table 3 Normalized Magnitude of the Table 4 Normalized Magnitude of the received signal for =45 received signal for =3 =45 =3 S.No Time Axis Magnitude S.No Time Axis Magnitude Figure 4 Doppler Spectrum=8 Figure 5 Doppler Spectrum =9 Figures 4, 5, 6 and 7 shows the Doppler spectrum for =8, 9, 45 and 3. It is observed here that the maximum and minimum Doppler components are reduced for reduction in. It is observed that Doppler spread parameter controls the bandwidth i.e. bandwidth decreases as the fade rate becomes slower. So Doppler spectrum represents the fading process and the shape of the Doppler spectrum limits the bandwidth of fading process. A wider spectrum means faster variations Figure 6 Doppler Spectrum =45 Figure 7 Doppler Spectrum =3 5. CONCLUSIONS This papers deals with short term fluctuations/multipath variations experienced by the WCDMA base station signal when the mobile is moving with a speed of 36Km/hr. This paper gives a relationship between the Doppler shift after effecting each echo, and their angle of arrival with respect to mobile direction of travel. It observed that phase increases when MS is approaching the BS for arrival angle <9 and phase decreases when MS is moving away from BS for >9. In addition, for arrival angle of =9 the phase increment is zero and so Doppler shift is also zero. Doppler spectrum is Volume 3, Issue 3, March 4 Page 39
7 Volume 3, Issue 3, March 4 ISSN simulated, it is observed for = Doppler shift is 66.67Hz which implies the MS is moving towards the BS. For =8 the Doppler shift is Hz, for = the Doppler shift is Hz negative Doppler shift implies that MS is moving away from BS. When two point scatter is considered deep fades occurred for arrival angle of =8 and =9 and fading is gradually reduced for arrival angles of =45 and =3. So fading decreases as Doppler spread decreases. The maximum and minimum Doppler components are reduced with reduction in. It is observed that Doppler spread parameter controls the bandwidth. A wider spectrum means faster variations. So Doppler spectrum represents the fading process and the shape of the Doppler spectrum limits the bandwidth of fading process. REFERENCES [] Gottapu Sasibhushana Rao, Mobile Cellular Communication, PEARSON,. [] Theodore S. Rappaport, Wireless Communication Principles and Practice, Prentice Hall,. [3] Rayleigh Fading Channels in Mobile Digital Communication Systems, Bernard Sklar, Communications Engineering Services, CRC Press. [4] Modeling the Wireless Propagation Channel, F. Pe rez Fonta n and P. Marin Espin eira, University of Vigo, Spain, WILEY 9. [5] D. Greenwood and L. Hanzo, Characterisation of mobile radio channels, in Steele [55], ch., pp [6] Mobile Radio Communications, by R. Steele, Ed., Ch., London: Pentech Press, 994. [7] Gordon L. Stuber, Principles of Mobile Communications, nd Edition, Gordon L. Stuber, Georgia Institute of Technology, Atlanta, Georgia, USA, Kluwer Academic Publishers. [8] A New Simple Model for Land Mobile SatelliteChannels: First- and Second-Order Statistics, Ali Abdi, Member, IEEE, Wing C. Lau, Student Member, IEEE, Mohamed-Slim Alouini, Member, IEEE, and Mostafa Kaveh, Fellow, IEEE ieee transactions on wireless communications, vol., no. 3, may 3. [9] C. Loo, A statistical model for a land mobile satellite link, IEEE Trans. Veh. Technol., vol. VT 34, pp. 7, 985. [] Y. Xie and Y. Fang, A general statistical channel model for mobile satellite systems, IEEE Trans. Veh. Technol., vol. 49, pp , May. AUTHORS Prof. G Sasi Bhushana Rao is working as Professor in the Department of Electronics & Communication Engineering, Andhra University Engineering College, Visakhapatnam. He has over 7 years of experience in R&D, industrial and Teaching. He was involved in the development of GAGAN system which is jointly developed by the ISRO and AAI. He has published more than 6 research papers in various reputed International/National Journal/Conferences. He is a Senior Member of IEEE, FIETE, IEEE Com Society, IGU and Member of International Global Navigation Satellite System (IGNSS), Australia. His area of research includes GPS/INS Signal Processing, RADAR, SONAR and Acoustic signal modeling. He received "Best Researcher Award" from Andhra University, Visakhapatnam. Ms. Ch.Usha Kumari, is a Research Scholar at Jawaharlal Nehru Technological University, Hyderabad. She has completed M.Tech in Radar and Microwave from Andhra University College of Engineering, Visakhapatnam. She has 7 years of teaching experience in Engineering Colleges. She published 5 research papers in various national, international conferences and journals. Volume 3, Issue 3, March 4 Page 33
CHAPTER 2 WIRELESS CHANNEL
CHAPTER 2 WIRELESS CHANNEL 2.1 INTRODUCTION In mobile radio channel there is certain fundamental limitation on the performance of wireless communication system. There are many obstructions between transmitter
More informationPropagation Characteristics of a Mobile Radio Channel for Rural, Suburban and Urban Environments
Propagation Characteristics of a Mobile Radio Channel for Rural, Suburban and Urban Environments Mr. ANIL KUMAR KODURI, Mr. VSRK. SHARMA 2, Mr. M. KHALEEL ULLAH KHAN 3, STUDENT, M.TECH 2,3 ASSOCIATE PROFESSOR
More informationRevision of Lecture One
Revision of Lecture One System blocks and basic concepts Multiple access, MIMO, space-time Transceiver Wireless Channel Signal/System: Bandpass (Passband) Baseband Baseband complex envelope Linear system:
More informationPerformance Evaluation of Mobile Wireless Communication Channel Gangeshwar Singh 1 Vaseem Khan 2
IJSRD - International Journal for Scientific Research & Development Vol. 2, Issue 11, 2015 ISSN (online): 2321-0613 Performance Evaluation of Mobile Wireless Communication Channel Gangeshwar Singh 1 Vaseem
More informationPerformance Evaluation of Mobile Wireless Communication Channel in Hilly Area Gangeshwar Singh 1 Kalyan Krishna Awasthi 2 Vaseem Khan 3
IJSRD - International Journal for Scientific Research & Development Vol. 2, Issue 11, 2015 ISSN (online): 2321-0613 Performance Evaluation of Mobile Wireless Communication Channel in Area Gangeshwar Singh
More informationRevision of Lecture One
Revision of Lecture One System block Transceiver Wireless Channel Signal / System: Bandpass (Passband) Baseband Baseband complex envelope Linear system: complex (baseband) channel impulse response Channel:
More informationSimulation of Outdoor Radio Channel
Simulation of Outdoor Radio Channel Peter Brída, Ján Dúha Department of Telecommunication, University of Žilina Univerzitná 815/1, 010 6 Žilina Email: brida@fel.utc.sk, duha@fel.utc.sk Abstract Wireless
More informationEENG473 Mobile Communications Module 3 : Week # (12) Mobile Radio Propagation: Small-Scale Path Loss
EENG473 Mobile Communications Module 3 : Week # (12) Mobile Radio Propagation: Small-Scale Path Loss Introduction Small-scale fading is used to describe the rapid fluctuation of the amplitude of a radio
More informationCALIFORNIA STATE UNIVERSITY, NORTHRIDGE FADING CHANNEL CHARACTERIZATION AND MODELING
CALIFORNIA STATE UNIVERSITY, NORTHRIDGE FADING CHANNEL CHARACTERIZATION AND MODELING A graduate project submitted in partial fulfillment of the requirements For the degree of Master of Science in Electrical
More informationInternational Journal of Advance Engineering and Research Development. Performance Comparison of Rayleigh and Rician Fading Channel Models: A Review
Scientific Journal of Impact Factor (SJIF): 5.71 International Journal of Advance Engineering and Research Development Volume 5, Issue 02, February -2018 e-issn (O): 2348-4470 p-issn (P): 2348-6406 Performance
More informationMobile Radio Propagation Channel Models
Wireless Information Transmission System Lab. Mobile Radio Propagation Channel Models Institute of Communications Engineering National Sun Yat-sen University Table of Contents Introduction Propagation
More informationECE 476/ECE 501C/CS Wireless Communication Systems Winter Lecture 6: Fading
ECE 476/ECE 501C/CS 513 - Wireless Communication Systems Winter 2005 Lecture 6: Fading Last lecture: Large scale propagation properties of wireless systems - slowly varying properties that depend primarily
More informationECE 476/ECE 501C/CS Wireless Communication Systems Winter Lecture 6: Fading
ECE 476/ECE 501C/CS 513 - Wireless Communication Systems Winter 2004 Lecture 6: Fading Last lecture: Large scale propagation properties of wireless systems - slowly varying properties that depend primarily
More informationWIRELESS COMMUNICATION TECHNOLOGIES (16:332:546) LECTURE 5 SMALL SCALE FADING
WIRELESS COMMUNICATION TECHNOLOGIES (16:332:546) LECTURE 5 SMALL SCALE FADING Instructor: Dr. Narayan Mandayam Slides: SabarishVivek Sarathy A QUICK RECAP Why is there poor signal reception in urban clutters?
More informationUNIK4230: Mobile Communications Spring 2013
UNIK4230: Mobile Communications Spring 2013 Abul Kaosher abul.kaosher@nsn.com Mobile: 99 27 10 19 1 UNIK4230: Mobile Communications Propagation characteristis of wireless channel Date: 07.02.2013 2 UNIK4230:
More informationMobile Radio Wave propagation channel- Path loss Models
Mobile Radio Wave propagation channel- Path loss Models 3.1 Introduction The wireless Communication is one of the integral parts of society which has been a focal point for sharing information with different
More informationECE 476/ECE 501C/CS Wireless Communication Systems Winter Lecture 6: Fading
ECE 476/ECE 501C/CS 513 - Wireless Communication Systems Winter 2003 Lecture 6: Fading Last lecture: Large scale propagation properties of wireless systems - slowly varying properties that depend primarily
More informationTesting c2k Mobile Stations Using a Digitally Generated Faded Signal
Testing c2k Mobile Stations Using a Digitally Generated Faded Signal Agenda Overview of Presentation Fading Overview Mitigation Test Methods Agenda Fading Presentation Fading Overview Mitigation Test Methods
More informationWireless Channel Propagation Model Small-scale Fading
Wireless Channel Propagation Model Small-scale Fading Basic Questions T x What will happen if the transmitter - changes transmit power? - changes frequency? - operates at higher speed? Transmit power,
More informationThe Radio Channel. COS 463: Wireless Networks Lecture 14 Kyle Jamieson. [Parts adapted from I. Darwazeh, A. Goldsmith, T. Rappaport, P.
The Radio Channel COS 463: Wireless Networks Lecture 14 Kyle Jamieson [Parts adapted from I. Darwazeh, A. Goldsmith, T. Rappaport, P. Steenkiste] Motivation The radio channel is what limits most radio
More informationAnalysis of Fast Fading in Wireless Communication Channels M.Siva Ganga Prasad 1, P.Siddaiah 1, L.Pratap Reddy 2, K.Lekha 1
International Journal of ISSN 0974-2107 Systems and Technologies IJST Vol.3, No.1, pp 139-145 KLEF 2010 Fading in Wireless Communication Channels M.Siva Ganga Prasad 1, P.Siddaiah 1, L.Pratap Reddy 2,
More informationMulti-Path Fading Channel
Instructor: Prof. Dr. Noor M. Khan Department of Electronic Engineering, Muhammad Ali Jinnah University, Islamabad Campus, Islamabad, PAKISTAN Ph: +9 (51) 111-878787, Ext. 19 (Office), 186 (Lab) Fax: +9
More informationMSIT 413: Wireless Technologies Week 3
MSIT 413: Wireless Technologies Week 3 Michael L. Honig Department of EECS Northwestern University January 2016 Why Study Radio Propagation? To determine coverage Can we use the same channels? Must determine
More informationNarrow- and wideband channels
RADIO SYSTEMS ETIN15 Lecture no: 3 Narrow- and wideband channels Ove Edfors, Department of Electrical and Information technology Ove.Edfors@eit.lth.se 2012-03-19 Ove Edfors - ETIN15 1 Contents Short review
More informationNarrow- and wideband channels
RADIO SYSTEMS ETIN15 Lecture no: 3 Narrow- and wideband channels Ove Edfors, Department of Electrical and Information technology Ove.Edfors@eit.lth.se 27 March 2017 1 Contents Short review NARROW-BAND
More informationChapter 3. Mobile Radio Propagation
Chapter 3 Mobile Radio Propagation Based on the slides of Dr. Dharma P. Agrawal, University of Cincinnati and Dr. Andrea Goldsmith, Stanford University Propagation Mechanisms Outline Radio Propagation
More informationPerformance Evaluation of OFDM System with Rayleigh, Rician and AWGN Channels
Performance Evaluation of OFDM System with Rayleigh, Rician and AWGN Channels Abstract A Orthogonal Frequency Division Multiplexing (OFDM) scheme offers high spectral efficiency and better resistance to
More informationEstimation of speed, average received power and received signal in wireless systems using wavelets
Estimation of speed, average received power and received signal in wireless systems using wavelets Rajat Bansal Sumit Laad Group Members rajat@ee.iitb.ac.in laad@ee.iitb.ac.in 01D07010 01D07011 Abstract
More informationNETW 701: Wireless Communications. Lecture 5. Small Scale Fading
NETW 701: Wireless Communications Lecture 5 Small Scale Fading Small Scale Fading Most mobile communication systems are used in and around center of population. The transmitting antenna or Base Station
More informationApplication Note 37. Emulating RF Channel Characteristics
Application Note 37 Emulating RF Channel Characteristics Wireless communication is one of the most demanding applications for the telecommunications equipment designer. Typical signals at the receiver
More informationChannel. Muhammad Ali Jinnah University, Islamabad Campus, Pakistan. Multi-Path Fading. Dr. Noor M Khan EE, MAJU
Instructor: Prof. Dr. Noor M. Khan Department of Electronic Engineering, Muhammad Ali Jinnah University, Islamabad Campus, Islamabad, PAKISTAN Ph: +9 (51) 111-878787, Ext. 19 (Office), 186 (Lab) Fax: +9
More informationWireless Communication Fundamentals Feb. 8, 2005
Wireless Communication Fundamentals Feb. 8, 005 Dr. Chengzhi Li 1 Suggested Reading Chapter Wireless Communications by T. S. Rappaport, 001 (version ) Rayleigh Fading Channels in Mobile Digital Communication
More informationMobile Radio Propagation: Small-Scale Fading and Multi-path
Mobile Radio Propagation: Small-Scale Fading and Multi-path 1 EE/TE 4365, UT Dallas 2 Small-scale Fading Small-scale fading, or simply fading describes the rapid fluctuation of the amplitude of a radio
More informationWritten Exam Channel Modeling for Wireless Communications - ETIN10
Written Exam Channel Modeling for Wireless Communications - ETIN10 Department of Electrical and Information Technology Lund University 2017-03-13 2.00 PM - 7.00 PM A minimum of 30 out of 60 points are
More informationA New Power Control Algorithm for Cellular CDMA Systems
ISSN 1746-7659, England, UK Journal of Information and Computing Science Vol. 4, No. 3, 2009, pp. 205-210 A New Power Control Algorithm for Cellular CDMA Systems Hamidreza Bakhshi 1, +, Sepehr Khodadadi
More informationSTATISTICAL DISTRIBUTION OF INCIDENT WAVES TO MOBILE ANTENNA IN MICROCELLULAR ENVIRONMENT AT 2.15 GHz
EUROPEAN COOPERATION IN COST259 TD(99) 45 THE FIELD OF SCIENTIFIC AND Wien, April 22 23, 1999 TECHNICAL RESEARCH EURO-COST STATISTICAL DISTRIBUTION OF INCIDENT WAVES TO MOBILE ANTENNA IN MICROCELLULAR
More informationReview of Path Loss models in different environments
Review of Path Loss models in different environments Mandeep Kaur 1, Deepak Sharma 2 1 Computer Scinece, Kurukshetra Institute of Technology and Management, Kurukshetra 2 H.O.D. of CSE Deptt. Abstract
More informationA simple and efficient model for indoor path-loss prediction
Meas. Sci. Technol. 8 (1997) 1166 1173. Printed in the UK PII: S0957-0233(97)81245-3 A simple and efficient model for indoor path-loss prediction Constantino Perez-Vega, Jose Luis García G and José Miguel
More informationPerformance Analysis of Fading and Interference over MIMO Systems in Wireless Networks
Performance Analysis of Fading and Interference over MIMO Systems in Wireless Networks Hadimani.H.C 1, Mrityunjaya.V. Latte 2 1 Associate Professor, Rural Engineering College, Hulkoti, Gadag District,
More informationCharacterization of Mobile Radio Propagation Channel using Empirically based Pathloss Model for Suburban Environments in Nigeria
Characterization of Mobile Radio Propagation Channel using Empirically based Pathloss Model for Suburban Environments in Nigeria Ifeagwu E.N. 1 Department of Electronic and Computer Engineering, Nnamdi
More informationAntenna & Propagation. Basic Radio Wave Propagation
For updated version, please click on http://ocw.ump.edu.my Antenna & Propagation Basic Radio Wave Propagation by Nor Hadzfizah Binti Mohd Radi Faculty of Electric & Electronics Engineering hadzfizah@ump.edu.my
More informationMultipath Propagation Model for High Altitude Platform (HAP) Based on Circular Straight Cone Geometry
Multipath Propagation Model for High Altitude Platform (HAP) Based on Circular Straight Cone Geometry J. L. Cuevas-Ruíz ITESM-CEM México D.F., México jose.cuevas@itesm.mx A. Aragón-Zavala ITESM-Qro Querétaro
More informationCombined Rate and Power Adaptation in DS/CDMA Communications over Nakagami Fading Channels
162 IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 48, NO. 1, JANUARY 2000 Combined Rate Power Adaptation in DS/CDMA Communications over Nakagami Fading Channels Sang Wu Kim, Senior Member, IEEE, Ye Hoon Lee,
More informationAntennas and Propagation
CMPE 477 Wireless and Mobile Networks Lecture 3: Antennas and Propagation Antennas Propagation Modes Line of Sight Transmission Fading in the Mobile Environment Introduction An antenna is an electrical
More informationUnit 5 - Week 4 - Multipath Fading Environment
2/29/207 Introduction to ireless and Cellular Communications - - Unit 5 - eek 4 - Multipath Fading Environment X Courses Unit 5 - eek 4 - Multipath Fading Environment Course outline How to access the portal
More informationPropagation Channels. Chapter Path Loss
Chapter 9 Propagation Channels The transmit and receive antennas in the systems we have analyzed in earlier chapters have been in free space with no other objects present. In a practical communication
More informationGPS Position Estimation Using Integer Ambiguity Free Carrier Phase Measurements
ISSN (Online) : 975-424 GPS Position Estimation Using Integer Ambiguity Free Carrier Phase Measurements G Sateesh Kumar #1, M N V S S Kumar #2, G Sasi Bhushana Rao *3 # Dept. of ECE, Aditya Institute of
More information5 GHz Radio Channel Modeling for WLANs
5 GHz Radio Channel Modeling for WLANs S-72.333 Postgraduate Course in Radio Communications Jarkko Unkeri jarkko.unkeri@hut.fi 54029P 1 Outline Introduction IEEE 802.11a OFDM PHY Large-scale propagation
More informationPROPAGATION MODELING 4C4
PROPAGATION MODELING ledoyle@tcd.ie 4C4 http://ledoyle.wordpress.com/temp/ Classification Band Initials Frequency Range Characteristics Extremely low ELF < 300 Hz Infra low ILF 300 Hz - 3 khz Ground wave
More informationMillimeter Wave Small-Scale Spatial Statistics in an Urban Microcell Scenario
Millimeter Wave Small-Scale Spatial Statistics in an Urban Microcell Scenario Shu Sun, Hangsong Yan, George R. MacCartney, Jr., and Theodore S. Rappaport {ss7152,hy942,gmac,tsr}@nyu.edu IEEE International
More informationLecture - 06 Large Scale Propagation Models Path Loss
Fundamentals of MIMO Wireless Communication Prof. Suvra Sekhar Das Department of Electronics and Communication Engineering Indian Institute of Technology, Kharagpur Lecture - 06 Large Scale Propagation
More informationChapter 2 Channel Equalization
Chapter 2 Channel Equalization 2.1 Introduction In wireless communication systems signal experiences distortion due to fading [17]. As signal propagates, it follows multiple paths between transmitter and
More informationDigital Communications over Fading Channel s
over Fading Channel s Instructor: Prof. Dr. Noor M Khan Department of Electronic Engineering, Muhammad Ali Jinnah University, Islamabad Campus, Islamabad, PAKISTAN Ph: +9 (51) 111-878787, Ext. 19 (Office),
More informationAntennas & Propagation. CSG 250 Fall 2007 Rajmohan Rajaraman
Antennas & Propagation CSG 250 Fall 2007 Rajmohan Rajaraman Introduction An antenna is an electrical conductor or system of conductors o Transmission - radiates electromagnetic energy into space o Reception
More informationMuhammad Ali Jinnah University, Islamabad Campus, Pakistan. Fading Channel. Base Station
Fading Lecturer: Assoc. Prof. Dr. Noor M Khan Department of Electronic Engineering, Muhammad Ali Jinnah University, Islamabad Campus, Islamabad, PAKISTAN Ph: +9 (51) 111-878787, Ext. 19 (Office), 186 (ARWiC
More information5G Antenna Design & Network Planning
5G Antenna Design & Network Planning Challenges for 5G 5G Service and Scenario Requirements Massive growth in mobile data demand (1000x capacity) Higher data rates per user (10x) Massive growth of connected
More informationBit Error Rate Assessment of Digital Modulation Schemes on Additive White Gaussian Noise, Line of Sight and Non Line of Sight Fading Channels
International Journal of Engineering Science Invention ISSN (Online): 2319 6734, ISSN (Print): 2319 6726 Volume 3 Issue 8 ǁ August 2014 ǁ PP.06-10 Bit Error Rate Assessment of Digital Modulation Schemes
More informationTEMPUS PROJECT JEP Wideband Analysis of the Propagation Channel in Mobile Broadband System
Department of Electrical Engineering and Computer Science TEMPUS PROJECT JEP 743-94 Wideband Analysis of the Propagation Channel in Mobile Broadband System Krzysztof Jacek Kurek Final report Supervisor:
More informationPerformance Analysis of Fading and Interference over MIMO Systems in Wireless Networks
Performance Analysis of Fading and Interference over MIMO Systems in Wireless Networks Hadimani.H.C 1, Mrityunjaya.V. Latte 2 1 Associate Professor, Rural Engineering College, Hulkoti, Gadag District,
More informationEITN85, FREDRIK TUFVESSON, JOHAN KÅREDAL ELECTRICAL AND INFORMATION TECHNOLOGY. Why do we need UWB channel models?
Wireless Communication Channels Lecture 9:UWB Channel Modeling EITN85, FREDRIK TUFVESSON, JOHAN KÅREDAL ELECTRICAL AND INFORMATION TECHNOLOGY Overview What is Ultra-Wideband (UWB)? Why do we need UWB channel
More informationKeywords WiMAX, BER, Multipath Rician Fading, Multipath Rayleigh Fading, BPSK, QPSK, 16 QAM, 64 QAM.
Volume 4, Issue 6, June 2014 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com Effect of Multiple
More informationAntennas and Propagation
Antennas and Propagation Chapter 5 Introduction An antenna is an electrical conductor or system of conductors Transmission - radiates electromagnetic energy into space Reception - collects electromagnetic
More informationEnergy Detection Spectrum Sensing Technique in Cognitive Radio over Fading Channels Models
Energy Detection Spectrum Sensing Technique in Cognitive Radio over Fading Channels Models Kandunuri Kalyani, MTech G. Narayanamma Institute of Technology and Science, Hyderabad Y. Rakesh Kumar, Asst.
More informationLecture 1 Wireless Channel Models
MIMO Communication Systems Lecture 1 Wireless Channel Models Prof. Chun-Hung Liu Dept. of Electrical and Computer Engineering National Chiao Tung University Spring 2017 2017/3/2 Lecture 1: Wireless Channel
More informationWelcome to the next lecture on mobile radio propagation. (Refer Slide Time: 00:01:23 min)
Wireless Communications Dr. Ranjan Bose Department of Electrical Engineering Indian Institute of Technology, Delhi Lecture No # 20 Mobile Radio Propagation -11- Multipath and Small Scale Fading Welcome
More informationLevel 6 Graduate Diploma in Engineering Wireless and mobile communications
9210-119 Level 6 Graduate Diploma in Engineering Wireless and mobile communications Sample Paper You should have the following for this examination one answer book non-programmable calculator pen, pencil,
More informationAntennas and Propagation. Chapter 5
Antennas and Propagation Chapter 5 Introduction An antenna is an electrical conductor or system of conductors Transmission - radiates electromagnetic energy into space Reception - collects electromagnetic
More informationImplementation of a MIMO Transceiver Using GNU Radio
ECE 4901 Fall 2015 Implementation of a MIMO Transceiver Using GNU Radio Ethan Aebli (EE) Michael Williams (EE) Erica Wisniewski (CMPE/EE) The MITRE Corporation 202 Burlington Rd Bedford, MA 01730 Department
More informationSmall-Scale Fading I PROF. MICHAEL TSAI 2011/10/27
Small-Scale Fading I PROF. MICHAEL TSAI 011/10/7 Multipath Propagation RX just sums up all Multi Path Component (MPC). Multipath Channel Impulse Response An example of the time-varying discrete-time impulse
More informationSection 1 Wireless Transmission
Part : Wireless Communication! section : Wireless Transmission! Section : Digital modulation! Section : Multiplexing/Medium Access Control (MAC) Section Wireless Transmission Intro. to Wireless Transmission
More informationExam 3 is two weeks from today. Today s is the final lecture that will be included on the exam.
ECE 5325/6325: Wireless Communication Systems Lecture Notes, Spring 2010 Lecture 19 Today: (1) Diversity Exam 3 is two weeks from today. Today s is the final lecture that will be included on the exam.
More informationBER ANALYSIS OF WiMAX IN MULTIPATH FADING CHANNELS
BER ANALYSIS OF WiMAX IN MULTIPATH FADING CHANNELS Navgeet Singh 1, Amita Soni 2 1 P.G. Scholar, Department of Electronics and Electrical Engineering, PEC University of Technology, Chandigarh, India 2
More informationRRC Vehicular Communications Part II Radio Channel Characterisation
RRC Vehicular Communications Part II Radio Channel Characterisation Roberto Verdone Slides are provided as supporting tool, they are not a textbook! Outline 1. Fundamentals of Radio Propagation 2. Large
More informationMODELLING OF GPS SIGNAL LARGE SCALE PROPAGATION CHARACTERISTICS IN URBAN AREAS FOR PRECISE NAVIGATION
Int. J. Elec&Electr.Eng&Telcomm. 2012 G Sateesh Kumar et al., 2012 Research Paper ISSN 2319 2518 www.ijeetc.com Vol. 1, No. 1, October 2012 2012 IJEETC. All Rights Reserve MODELLING OF GPS SIGNAL LARGE
More informationWireless Physical Layer Concepts: Part II
Wireless Physical Layer Concepts: Part II Raj Jain Professor of CSE Washington University in Saint Louis Saint Louis, MO 63130 Jain@cse.wustl.edu Audio/Video recordings of this lecture are available at:
More informationSession2 Antennas and Propagation
Wireless Communication Presented by Dr. Mahmoud Daneshvar Session2 Antennas and Propagation 1. Introduction Types of Anttenas Free space Propagation 2. Propagation modes 3. Transmission Problems 4. Fading
More informationUltra Wideband Radio Propagation Measurement, Characterization and Modeling
Ultra Wideband Radio Propagation Measurement, Characterization and Modeling Rachid Saadane rachid.saadane@gmail.com GSCM LRIT April 14, 2007 achid Saadane rachid.saadane@gmail.com ( GSCM Ultra Wideband
More informationPart 4. Communications over Wireless Channels
Part 4. Communications over Wireless Channels p. 1 Wireless Channels Performance of a wireless communication system is basically limited by the wireless channel wired channel: stationary and predicable
More informationChannel Modelling ETIM10. Propagation mechanisms
Channel Modelling ETIM10 Lecture no: 2 Propagation mechanisms Ghassan Dahman \ Fredrik Tufvesson Department of Electrical and Information Technology Lund University, Sweden 2012-01-20 Fredrik Tufvesson
More informationFADING DEPTH EVALUATION IN MOBILE COMMUNICATIONS FROM GSM TO FUTURE MOBILE BROADBAND SYSTEMS
FADING DEPTH EVALUATION IN MOBILE COMMUNICATIONS FROM GSM TO FUTURE MOBILE BROADBAND SYSTEMS Filipe D. Cardoso 1,2, Luis M. Correia 2 1 Escola Superior de Tecnologia de Setúbal, Polytechnic Institute of
More informationUWB Channel Modeling
Channel Modeling ETIN10 Lecture no: 9 UWB Channel Modeling Fredrik Tufvesson & Johan Kåredal, Department of Electrical and Information Technology fredrik.tufvesson@eit.lth.se 2011-02-21 Fredrik Tufvesson
More informationChannel Modeling ETI 085
Channel Modeling ETI 085 Overview Lecture no: 9 What is Ultra-Wideband (UWB)? Why do we need UWB channel models? UWB Channel Modeling UWB channel modeling Standardized UWB channel models Fredrik Tufvesson
More informationAntennas and Propagation. Chapter 5
Antennas and Propagation Chapter 5 Introduction An antenna is an electrical conductor or system of conductors Transmission - radiates electromagnetic energy into space Reception - collects electromagnetic
More informationSTUDY OF ENHANCEMENT OF SPECTRAL EFFICIENCY OF WIRELESS FADING CHANNEL USING MIMO TECHNIQUES
STUDY OF ENHANCEMENT OF SPECTRAL EFFICIENCY OF WIRELESS FADING CHANNEL USING MIMO TECHNIQUES Jayanta Paul M.TECH, Electronics and Communication Engineering, Heritage Institute of Technology, (India) ABSTRACT
More informationEffects of Fading Channels on OFDM
IOSR Journal of Engineering (IOSRJEN) e-issn: 2250-3021, p-issn: 2278-8719, Volume 2, Issue 9 (September 2012), PP 116-121 Effects of Fading Channels on OFDM Ahmed Alshammari, Saleh Albdran, and Dr. Mohammad
More informationInternational Journal of Advance Engineering and Research Development
Scientific Journal of Impact Factor (SJIF) : 3.134 ISSN (Print) : 2348-6406 ISSN (Online): 2348-4470 International Journal of Advance Engineering and Research Development COMPARATIVE ANALYSIS OF THREE
More informationEvaluation of Power Budget and Cell Coverage Range in Cellular GSM System
Evaluation of Power Budget and Cell Coverage Range in Cellular GSM System Dr. S. A. Mawjoud samialmawjoud_2005@yahoo.com Abstract The paper deals with study of affecting parameters on the communication
More informationGeometrical-Based Statistical Macrocell Channel Model for Mobile Environments
IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 50, NO. 3, MARCH 2002 495 Geometrical-Based Statistical Macrocell Channel Model for Mobile Environments Paul Petrus, Jeffrey H. Reed, Senior Member, IEEE, and
More informationRADIO WAVE PROPAGATION AND SMART ANTENNAS FOR WIRELESS COMMUNICATIONS
RADIO WAVE PROPAGATION AND SMART ANTENNAS FOR WIRELESS COMMUNICATIONS THE KLUWER INTERNATIONAL SERIES IN ENGINEERING AND COMPUTER SCIENCE RADIOWAVE PROPAGATION AND SMART ANTENNAS FOR WIRELESS COMMUNICATIONS
More informationMobile and Wireless Networks Course Instructor: Dr. Safdar Ali
Mobile and Wireless Networks Course Instructor: Dr. Safdar Ali BOOKS Text Book: William Stallings, Wireless Communications and Networks, Pearson Hall, 2002. BOOKS Reference Books: Sumit Kasera, Nishit
More informationStudy of Factors which affect the Calculation of Co- Channel Interference in a Radio Link
International Journal of Electronic and Electrical Engineering. ISSN 0974-2174 Volume 8, Number 2 (2015), pp. 103-111 International Research Publication House http://www.irphouse.com Study of Factors which
More informationPerformance Gain of Smart Antennas with Hybrid Combining at Handsets for the 3GPP WCDMA System
Performance Gain of Smart Antennas with Hybrid Combining at Handsets for the 3GPP WCDMA System Suk Won Kim 1, Dong Sam Ha 1, Jeong Ho Kim 2, and Jung Hwan Kim 3 1 VTVT (Virginia Tech VLSI for Telecommunications)
More informationEC 551 Telecommunication System Engineering. Mohamed Khedr
EC 551 Telecommunication System Engineering Mohamed Khedr http://webmail.aast.edu/~khedr 1 Mohamed Khedr., 2008 Syllabus Tentatively Week 1 Week 2 Week 3 Week 4 Week 5 Week 6 Week 7 Week 8 Week 9 Week
More informationAntennas and Propagation
Mobile Networks Module D-1 Antennas and Propagation 1. Introduction 2. Propagation modes 3. Line-of-sight transmission 4. Fading Slides adapted from Stallings, Wireless Communications & Networks, Second
More informationApplying ITU-R P.1411 Estimation for Urban N Network Planning
Progress In Electromagnetics Research Letters, Vol. 54, 55 59, 2015 Applying ITU-R P.1411 Estimation for Urban 802.11N Network Planning Thiagarajah Siva Priya, Shamini Pillay Narayanasamy Pillay *, Vasudhevan
More informationMSIT 413: Wireless Technologies Week 3
MSIT 413: Wireless Technologies Week 3 Michael L. Honig Department of EECS Northwestern University October 2017 Why Study Radio Propagation? To determine coverage Can we use the same channels? Must determine
More informationChannel Models. Spring 2017 ELE 492 FUNDAMENTALS OF WIRELESS COMMUNICATIONS 1
Channel Models Spring 2017 ELE 492 FUNDAMENTALS OF WIRELESS COMMUNICATIONS 1 Narrowband Channel Models Statistical Approach: Impulse response modeling: A narrowband channel can be represented by an impulse
More informationChannel Modeling and Characteristics
Channel Modeling and Characteristics Dr. Farid Farahmand Updated:10/15/13, 10/20/14 Line-of-Sight Transmission (LOS) Impairments The received signal is different from the transmitted signal due to transmission
More informationDevelopment of a Wireless Communications Planning Tool for Optimizing Indoor Coverage Areas
Development of a Wireless Communications Planning Tool for Optimizing Indoor Coverage Areas A. Dimitriou, T. Vasiliadis, G. Sergiadis Aristotle University of Thessaloniki, School of Engineering, Dept.
More informationR ied extensively for the evaluation of different transmission
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT. VOL. 39. NO. 5. OCTOBER 1990 Measurement and Analysis of the Indoor Radio Channel in the Frequency Domain 75 I STEVEN J. HOWARD AND KAVEH PAHLAVAN,
More information