FREQUENCY DOUBLE REUSE FOR INDOOR AND URBAN DIGITAL CELLULAR TELEPHONE SYSTEMS ENHANCED CONCEPTUAL DESIGN FORMULAE FOR SINGLE HANDSET SYSTEMS
|
|
- Chloe Patrick
- 6 years ago
- Views:
Transcription
1 Reprinted from: Proc. of the 997 Multiaccess, Mobility and Teletraffic for Personal Communications Workshop (MMT 97) FREQUENCY DOUBLE REUSE FOR INDOOR ND URBN DIGITL CELLULR TELEPHONE SYSTEMS ENHNCED CONCEPTUL DESIGN FORMULE FOR SINGLE HNDSET SYSTEMS Yasuaki Kinoshita and David K. sano Shinshu University Department of Information Engineering 500 Wakasato, Nagano 380 Japan bstract: This year in Japan, the standardization of the digital frequency double reuse system was proposed and the standardization process is proceeding. This paper presents conceptual design formulae for a digital system. These formulae enhance the previous analog design formulae by introducing two parameters in the wave propagation model. INTRODUCTION In 989, the first author proposed the frequency double reuse (DR) technique, which allows urban frequency channels to be also used in indoor wireless PBX systems [] []. This technique makes it more convenient to be able to access both urban and indoor systems with a single handset. Moreover, compared to conventional systems, which use adjacent frequency bands, and dual band systems, which have two sets of wireless circuits built into a single handset, it is possible to design a system with higher spectral efficiency. nalog and digital frequency DR systems have already been 47
2 48 standardized (IS-94 and IS-36) and are in use in the United States [7]. In Japan, NTT Docomo proposed the standardization of a digital system, known as PDC (Personal Digital Celluar), and the standardization process has been begun by the ssociation of Radio Industry Businesses (RIB). In this paper, we consider propagation in suburban environments which consist of low-rise concrete buildings. In this type of building, the propagation between floors is heavily attenuated, so the cells on one floor can be considered to be approximately independent of the cells on another floor. Therefore, a simplified two-dimensional propagation model is used in our analysis. In previously reported results on the conceptual design of frequency DR systems [7], cluster sizes of 0 or more for analog systems were considered. However, for digital systems with a cluster size of less than 0, an improved model is necessary. In this paper, we present enhanced conceptual design formulae for digital systems. These formulae are derived from the previous formulae by introducing two new parameters in the wave propagation model. These parameters represent the distance after which the propagation of the interference waves from the urban system to the indoor system and vice-versa changes. The enhanced design formulae are more widely applicable because the newly introduced parameters make the propagation model match the DR wireless communication environment more closely. FREQUENCY DOUBLE REUSE The concept of frequency DR is shown in Figure. The large represents a macrocell where the frequency is used in an urban cellular system. The small represents a picocell where the frequency is used with small power in an indoor cellular system. In the conventional cellular system, the frequency is reused at a certain distance from the present cell. However, inside the thick lines in the figure, which define clusters, different frequencies, e.g., B, C, are used. The frequencies are reused in adjacent clusters. In the proposed system, these frequencies are reused again inside the clusters for an indoor cellular system, so this scheme was named frequency double reuse (DR). The first design parameter in a DR system is the number of white cells, i.e., the number of macrocells which contain no picocells in each cluster. These white cells provide the urban system protection from the indoor cellular system. Inside these white cells, frequency is not reused, but other frequencies can be reused. We denote the number of guard cells C g. Since the guard cells are placed evenly around the macrocell antenna, the number of guard cells can be represented in terms of the number of guard layers, s as C g = + sx k=0 k: () Therefore, in Figure, s = 0 and C g =. The number of frequency channels used in the urban cellular system is denoted by C and referred to as the cluster size. In Figure, C = 3.
3 FREQUENCY DR ENHNCED CONCEPTUL DESIGN FORMULE 49 Figure typical frequency double reuse system. The large s show the macrocells where the frequency is used. The small s show the picocells where the frequency is reused with low power for the indoor cellular system. The basic design criterion for DR systems is that the signal to interference ratios (SIRs) of the urban and indoor cellular systems that use the same frequency are the same. In mathematical terms, this condition can be written as S I + J = S I + J ; () where S and S are the signal powers at the macrocell and picocell edges, respectively, I and I are the self cochannel interferences for the urban (macrocell) and indoor (picocell) systems, respectively, J is the mutual cochannel interference that the indoor system causes on the urban system and J is the mutual cochannel interference that the urban system causes on the indoor system. This criterion means that the service quality is the same for both systems. The SIRs for the picocell and macrocell systems are worst at the edges of the cells, so the design equations are derived when () is satisfied at the cell edges.
4 50 In this paper, the subscript refers to the urban system, while the subscript refers to the indoor system. The subscripts i and j that appear later can take a value of or to refer to the urban or indoor system, respectively. The next design parameters are and, which are defined as = J I and = J I : (3) These parameters are decided when the transmission power of the indoor cellular system and the picocell radius is designed. This will be explained later. ENHNCED DESIGN PROPGTION MODEL It is well known that the mean signal power at a distance r from an antenna in a fading environment is given by P i S i = K i ; (4) r i where P i is the transmitter power, i is an attenuation parameter and K i is a constant (ppendix ). The self and mutual cochannel interferences are calculated by adding the effects of many base station antennas using the same frequency. In Figure, the propagation model that is used to calculate the mutual interferences in this paper is shown compared to model previous model [][] [7]. The signal strength, S, is plotted as a function of the distance from the base station antenna, r. The signal strength decreases with a propagation exponent of = from the base station antenna for the line of sight distance i. fter that, it is well known that the signal strength decreases with = 3:5 for urban propagation, [4] and = 4:5 for indoor propagation in a typical steel reinforced concrete building [5]. In this paper, two new parameters, and are introduced. The parameter is the distance after which the propagation of the interfering wave from the urban system to the indoor system changes, while is the corresponding distance for the interfering wave from the indoor system to the urban system. However, the propagation of the waves involved in cochannel interference, i.e., in the calculation of I i, does not change. In (), if the two systems do not affect each other, i.e., J = J = 0, then the communication quality of the two systems is determined by only the ratio of the signal strength and cochannel interference S=I. In this case, from the criterion that the communication quality of the two systems is the same, i.e., S =I = S =I, the cluster size of the indoor cellular system, C, can be calculated from the urban system s cluster size using [] [] C = 0:748C 7=9 : (5) Since the attenuation in the indoor system is greater than that in the urban system, the indoor system can achieve the same communication quality with a smaller cluster size. Next, in order to use the same frequency channel in both systems, we rewrite () for the case when = = as J S = J S : (6)
5 FREQUENCY DR ENHNCED CONCEPTUL DESIGN FORMULE 5 log S log(k P ) α = Urban log(k P ) α = Indoor α = 3.5 α = 4.5 α = 3.5 Indoor Urban α = 4.5 Λ R Λ ρ R ρ base station antenna log r Figure The signal propagation model used in this paper. The parameters and are introduced to take into account the change in propagation from an indoor environment to an urban environment and vice versa. The model used in previous papers in shown with a dashed line. In this paper, we imagine the situation when there is an infinite number of evenly distributed cells in the indoor system. The solution of (6) gives us the conceptual design formula for a DR system. INDOOR SYSTEM CONCEPTUL DESIGN FORMUL Power Ratio The calculation of the self and mutual cochannel interferences are shown in ppendix. Using these results, we can derive the following conceptual design formula from (6): (ppendix ) P R = P R + p?? E(C ; C g ); (7) where E is a function that depends only on the structure of the cell model and the propagation constants i. If this function is calculated once and tabulated, it is possible to perform a conceptual design easily.
6 5 Frequency Utilization Efficiency Calculation The frequency utilization efficiency per unit area,, is defined by phone trac[erlangs] bandwidth[mhz] area[km ] : (8) For DR systems, the frequency utilization efficiency relative to that of conventional systems, r, is given by where is given by (ppendix ) r = ( + )? + ( + )?? C g ; (9) C R?? = H(C ; C g ): (0) R Here, H is a function that only depends on the structure of the cell model and i. Similarly to E, if this function is tabulated, a conceptual design can be easily done. NUMERICL RESULTS The parameters introduced in this paper, and are strictly speaking a function of the picocell coordinates. However, in order to be able to get some results in this analysis, we assume the parameters are constants. s a result, these parameters appear as a product in (7) and a ratio in (0). In digital cellular systems, the cluster size is smaller than in analog systems. In practice, 3 sector cells are used in cellular phone systems. The number of sectors can be thought of as approximately the same as the cluster size. The values of E and H were calculated and the results are shown in Table. For comparison, the values when = = 3:5 are also shown. In order to complete a conceptual design, the parameters shown in the propagation model in Figure, i and i, must be decided. To keep the estimate of the mutual interference conservative, we assume = R and = 0:5R. This results in values of twice as large as when = R and = R. From previous work [] [], we use = 0m and = 3m. Using these values, numerical results, which fit the environment at our university, are shown in Table. n indoor cellular system with a base station transmission power of P = 0mW has a cell radius of approximately R = 30m. Therefore, even for digital systems with macrocell cluster sizes less than 0, it is possible to obtain service area values that are close to the values obtained from experience [][][7]. The parameters, and are roughly the same order as the cell radii of the two systems. For macrocell cluster sizes of 7 or less, it is necessary to rewrite the conceptual design formula when sector cells are used. For three sector urban systems, approximate solutions can be obtained by using 3C instead of C in this analysis.
7 FREQUENCY DR ENHNCED CONCEPTUL DESIGN FORMULE 53 Table E(C ; C g ) and H(C ; C g ) C g C E H E H ( = = 3:5) ( = 3:5; = 4:5) Table Microcell Radius R and Frequency Utilization Efficiency r C C C g E(C ; C g) H(C ; C g) R r m 85% m 88% m 9% m 56% P = 3W, R = 3km, P = 0mW, = R, = 0:5R The frequency utilization efficiency is close to the theoretical limit of 00%. The reason for this is that the urban cellular system and the indoor system can be thought to be designed to have a very high degree of electrical screening. To examine the accuracy of this analysis, we compared the results using the new design formulae with those using the previous formulae. In order to obtain approximately the same indoor parameters R and P for the given urban parameters R and P, we have to decrease by one half to one third for the same. We found that
8 54 the newly introduced design parameters and allow us to successfully match the propagation model to complicated urban and indoor environments. CONCLUSIONS In this paper, conceptual design formulae for digital frequency double reuse cellular systems with cluster sizes less than 0 was derived and numerical results shown. This extension was made by introducing two new parameters in the propagation model to improve the calculation of the cochannel interference. These parameters are roughly the same as the cell radii of the urban and indoor systems. For sector cell systems, it is necessary to extend the current formulae with a new cell model. In future work, the analysis of spread spectrum double reuse systems will be done. ppendix: Received Signal Strength The received signal strength, S, of UHF band signals in urban environments is given by (4) and for a distance, r, of to 0 km, is approximately 3.5 [4]. The constant K i in (4) is given by K i = 4 G t G r i? i ; (.) where is the wavelength of the signal, G t and G r are the transmitter and receiver antenna gains, respectively, and i is the distance over which inverse square law propagation applies, i.e., the line of sight distance. In Figure, the signal strength for distances greater than i is given by S i = K i i?j i ppendix: Self and Mutual Cochannel Interference P i r j ; r > i : (.) The self cochannel interferences, I and I, are calculated by adding the signal powers from all cells using the same frequency. If these cells are numbered f; :::; g, the cochannel interference can be written as I = X m= K P r m and I = X m= P K ; (B.) r m where r m is the distance from the mth interfering cell to the mobile user using the macrocellular system and r m is the corresponding distance for the picocellular system. Here, we assume that the propagation exponent for the cochannel interference between macrocells and between picocells does not change after and, respectively. Normalizing r m and r m by the macrocell and picocell radii, respectively, results in I = K P R X m= r m (B.)
9 FREQUENCY DR ENHNCED CONCEPTUL DESIGN FORMULE 55 and where I = K P R X m= r m = r m R and r m = r m R ; (B.3) r m (B.4) The summations above now only depend on the attenuation exponents and the distances between cells of unit radii. We define the summation part of the above equations as I and I, which results in where I = K P R I = X m= r m P I and I = K I R ; and I = X m= (B.5) : (B.6) r m The mutual interference is the interference that the urban and indoor cellular systems cause on each other. The interference from the urban system on the indoor system, i.e., macrocell on picocell, is denoted by J, while picocell on macrocell interference is denoted by J. If we denote the distance from the picocell system user to the mth macrocell antenna as d m, we can write J as J = K? P X m= : (B.7) d m To calculate J, we assume that the picocell antennae which are inside a macrocell are located at the center of the macrocell. The average number of interfering picocells in a macrocell can be approximated by l = C R R : (B.8) Therefore, if we denote the distance from the macrocell user to the center of the mth macrocell which contains picocells as d m, J can be written as J = K? P l X m= : (B.9) d m It should be remembered here that there are no picocells inside white macrocells. We normalize the distances by R to get J = K? P R J (B.0)
10 56 and where and J = J = K? X m= d m P R and ~ J = l ~ J ; X m= d m = d m R and d m = d m R d m (B.) (B.) (B.3) ppendix: Power Ratio Derivation Substituting (4), (B.0) and (B.) into (6) gives, P K R P K R = K? K? P P C R R R R J ~J : (C.) Rearranging terms gives P P = K ( K )? R+ R + J ~J C : (C.) From (.), K =K =? =?. Substituting this into the above equation and taking the square root gives the desired result: P P = R R + p?? E(C ; C g ); (C.3) where ppendix: Interference Ratio Derivation Substituting (B.0) and (B.5) into (3) gives Rearranging terms gives E(C ; C g ) = s J ~J C : (C.4) = K ( )? P R K P R J I : (D.) = K P? R J : K P R I (D.)
11 REFERENCES 57 Using (C.) to replace K P =(K P ) results in the desired result: where R?? = H(C ; C g ); R H(C ; C g ) = I s (D.3) ~J J C : (D.4) References [] Y. Kinoshita, T. Tsuchiya and S. Ohnuki, Frequency common use between indoor and cellular radio research on frequency channel doubly reused system, Proc. 989 IEEE Vehicular Tech. Conf., pp , May 989. [] Y. Kinoshita, T. Tsuchiya and S. Ohnuki, common air interface between widearea cordless telephone and urban cellular radio: frequency channel doubly-reused cellular systems, Electronics and Communications in Japan, Part, vol. 77, no. 6, pp. 0, 994. [3] V. MacDonald, The cellular concept, BSTJ, vol. 58, pp. 5-4, Jan [4] K. Daikoku and H. Ohdate, Optimal channel reuse in cellular land mobile radio systems, IEEE Trans. on Vehicular Technology, vol. VT-3, pp. 7 4, ug [5] D. C. Cox, Universal digital portable radio communications, Proc. IEEE, vol. 75, pp , pr [6] Y. Kinoshita and M... Henriques, High density space division multiple access: double reuse of frequency channels, Proc. 994 IEEE International Conference on Universal Personal Communications (ICUPC 94), pp , Oct [7] Y. Kinoshita (editor), Personal Mobile Telephone Systems. Tokyo: Triceps, 996 (in Japanese).
03_57_104_final.fm Page 97 Tuesday, December 4, :17 PM. Problems Problems
03_57_104_final.fm Page 97 Tuesday, December 4, 2001 2:17 PM Problems 97 3.9 Problems 3.1 Prove that for a hexagonal geometry, the co-channel reuse ratio is given by Q = 3N, where N = i 2 + ij + j 2. Hint:
More informationCHAPTER 10 CONCLUSIONS AND FUTURE WORK 10.1 Conclusions
CHAPTER 10 CONCLUSIONS AND FUTURE WORK 10.1 Conclusions This dissertation reported results of an investigation into the performance of antenna arrays that can be mounted on handheld radios. Handheld arrays
More informationElectromagnetic Interference Compatibility for Mobile Communication System. Abstract
Commission E: Electromagnetic Noise and Interference (e) Scientific basis of noise and interference control Electromagnetic Interference Compatibility for Mobile Communication System M.K Raina, Kirti Gupta
More informationECE 5325/6325: Wireless Communication Systems Lecture Notes, Spring 2010
ECE 5325/6325: Wireless Communication Systems Lecture Notes, Spring 2010 Lecture 2 Today: (1) Frequency Reuse, (2) Handoff Reading for today s lecture: 3.2-3.5 Reading for next lecture: Rap 3.6 HW 1 will
More informationECE6604 PERSONAL & MOBILE COMMUNICATIONS
ECE6604 PERSONAL & MOBILE COMMUNICATIONS GORDON L. STÜBER School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta, Georgia, 30332-0250 Ph: (404) 894-2923 Fax: (404) 894-7883
More informationECE 5325/6325: Wireless Communication Systems Lecture Notes, Spring 2013
ECE 5325/6325: Wireless Communication ystems Lecture Notes, pring 2013 Lecture 2 Today: (1) Channel Reuse Reading: Today Mol 17.6, Tue Mol 17.2.2. HW 1 due noon Thu. Jan 15. Turn in on canvas or in the
More informationA Glimps at Cellular Mobile Radio Communications. Dr. Erhan A. İnce
A Glimps at Cellular Mobile Radio Communications Dr. Erhan A. İnce 28.03.2012 CELLULAR Cellular refers to communications systems that divide a geographic region into sections, called cells. The purpose
More informationWireless Communication Technologies (16:332:546)
Wireless Communication Technologies (16:332:546) Taught by Professor Narayan Mandayam Lecture 7 : Co-Channel Interference Slides prepared by : Shuangyu Luo Outline Co-channel interference 4 Examples of
More informationHIERARCHICAL microcell/macrocell architectures have
836 IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL. 46, NO. 4, NOVEMBER 1997 Architecture Design, Frequency Planning, and Performance Analysis for a Microcell/Macrocell Overlaying System Li-Chun Wang,
More informationUnit 3 - Wireless Propagation and Cellular Concepts
X Courses» Introduction to Wireless and Cellular Communications Unit 3 - Wireless Propagation and Cellular Concepts Course outline How to access the portal Assignment 2. Overview of Cellular Evolution
More informationPerformance Evaluation of Uplink Closed Loop Power Control for LTE System
Performance Evaluation of Uplink Closed Loop Power Control for LTE System Bilal Muhammad and Abbas Mohammed Department of Signal Processing, School of Engineering Blekinge Institute of Technology, Ronneby,
More informationEENG473 Mobile Communications Module 2 : Week # (8) The Cellular Concept System Design Fundamentals
EENG473 Mobile Communications Module 2 : Week # (8) The Cellular Concept System Design Fundamentals Improving Capacity in Cellular Systems Cellular design techniques are needed to provide more channels
More informationECS455 Chapter 2 Cellular Systems
ECS455 Chapter 2 Cellular Systems 2.2 Co-Channel Interference r.rapun Suksompong prapun.com/ecs455 Office Hours: BK 360-7 Tuesday 9:30-0:30 Tuesday 3:30-4:30 Thursday 3:30-4:30 Co-Channel Cells: Ex. N
More informationSEN366 (SEN374) (Introduction to) Computer Networks
SEN366 (SEN374) (Introduction to) Computer Networks Prof. Dr. Hasan Hüseyin BALIK (8 th Week) Cellular Wireless Network 8.Outline Principles of Cellular Networks Cellular Network Generations LTE-Advanced
More informationUnit-1 The Cellular Concept
Unit-1 The Cellular Concept 1.1 Introduction to Cellular Systems Solves the problem of spectral congestion and user capacity. Offer very high capacity in a limited spectrum without major technological
More informationUNIT- 3. Introduction. The cellular advantage. Cellular hierarchy
UNIT- 3 Introduction Capacity expansion techniques include the splitting or sectoring of cells and the overlay of smaller cell clusters over larger clusters as demand and technology increases. The cellular
More informationOutage Performance of Cellular Networks for Wireless Communications
Outage Performance of Cellular Networks for Wireless Communications Abstract Cellular frequency reuse is known to be an efficient method to allow many wireless telephone subscribers to share the same frequency
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 informationAntenna aperture size reduction using subbeam concept in multiple spot beam cellular satellite systems
RADIO SCIENCE, VOL. 44,, doi:10.1029/2008rs004052, 2009 Antenna aperture size reduction using subbeam concept in multiple spot beam cellular satellite systems Ozlem Kilic 1 and Amir I. Zaghloul 2,3 Received
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 informationKing Fahd University of Petroleum & Minerals Computer Engineering Dept
King Fahd University of Petroleum & Minerals Computer Engineering Dept COE 543 Mobile and Wireless Networks Term 0 Dr. Ashraf S. Hasan Mahmoud Rm -148-3 Ext. 174 Email: ashraf@ccse.kfupm.edu.sa 4//003
More informationλ iso d 4 π watt (1) + L db (2)
1 Path-loss Model for Broadcasting Applications and Outdoor Communication Systems in the VHF and UHF Bands Constantino Pérez-Vega, Member IEEE, and José M. Zamanillo Communications Engineering Department
More informationSENSITIVITY OF CELLULAR WIRELESS NETWORK PERFORMANCE TO SYSTEM & PROPAGATION PA- RAMETERS AT CARRIER FREQUENCIES GREATER THAN 2 GHZ
Progress In Electromagnetics Research B, Vol. 40, 31 54, 2012 SENSITIVITY OF CELLULAR WIRELESS NETWORK PERFORMANCE TO SYSTEM & PROPAGATION PA- RAMETERS AT CARRIER FREQUENCIES GREATER THAN 2 GHZ K. A. Anang
More informationOn the Design of Underwater Acoustic Cellular Systems
On the Design of Underwater Acoustic Cellular Systems Milica Stojanovic Massachusetts Institute of Technology millitsa@mit.edu Abstract The design of a cellular underwater network is addressed from the
More informationChapter 3 Ahmad Bilal ahmadbilal.webs.com
Chapter 3 A Quick Recap We learned about cell and reuse factor. We looked at traffic capacity We looked at different Earling Formulas We looked at channel strategies We had a look at Handoff Interference
More informationData and Computer Communications. Tenth Edition by William Stallings
Data and Computer Communications Tenth Edition by William Stallings Data and Computer Communications, Tenth Edition by William Stallings, (c) Pearson Education - 2013 CHAPTER 10 Cellular Wireless Network
More informationEEG473 Mobile Communications Module 2 : Week # (6) The Cellular Concept System Design Fundamentals
EEG473 Mobile Communications Module 2 : Week # (6) The Cellular Concept System Design Fundamentals Interference and System Capacity Interference is the major limiting factor in the performance of cellular
More informationECE6604 PERSONAL & MOBILE COMMUNICATIONS
ECE6604 PERSONAL & MOBILE COMMUNICATIONS GORDON L. STÜBER School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta, Georgia, 30332-0250 Ph: (404) 894-2923 Fax: (404) 894-7883
More informationData and Computer Communications
Data and Computer Communications Chapter 14 Cellular Wireless Networks Eighth Edition by William Stallings Cellular Wireless Networks key technology for mobiles, wireless nets etc developed to increase
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 informationReduction of Cochannel Interference on the Downlink of a CDMA Cellular Architecture with Directional Antennas
Reduction of ochannel nterference on the ownlink of a M ellular rchitecture with irectional ntennas M.. alam,.. hosravi, and O. andara epartment of omputer cience, outhern University P.O. ox 91, aton Rouge,
More informationEKT 450 Mobile Communication System
EKT 450 Mobile Communication System Chapter 6: The Cellular Concept Dr. Azremi Abdullah Al-Hadi School of Computer and Communication Engineering azremi@unimap.edu.my 1 Introduction Introduction to Cellular
More informationSoft Handoff Parameters Evaluation in Downlink WCDMA System
Soft Handoff Parameters Evaluation in Downlink WCDMA System A. A. AL-DOURI S. A. MAWJOUD Electrical Engineering Department Tikrit University Electrical Engineering Department Mosul University Abstract
More informationFigure 1.1:- Representation of a transmitter s Cell
Volume 4, Issue 2, February 2014 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com Study on Improving
More informationThe Cellular Concept
The Cellular Concept Key problems in multi-user wireless system: spectrum is limited and expensive large # of users to accommodate high quality-of-services (QoS) is required expandable systems are needed
More informationECE 476/ECE 501C/CS Wireless Communication Systems Winter Lecture 3: Cellular Fundamentals
ECE 476/ECE 501C/CS 513 - Wireless Communication Systems Winter 2004 Lecture 3: Cellular Fundamentals Chapter 3 - The Cellular Concept - System Design Fundamentals I. Introduction Goals of a Cellular System
More informationThe MYTHOLOGIES OF WIRELESS COMMUNICATION. Tapan K Sarkar
The MYTHOLOGIES OF WIRELESS COMMUNICATION Tapan K Sarkar What is an Antenna? A device whose primary purpose is to radiate or receive electromagnetic energy What is Radiation? Far Field (Fraunhofer region>2l
More informationDirect Link Communication II: Wireless Media. Motivation
Direct Link Communication II: Wireless Media Motivation WLAN explosion cellular telephony: 3G/4G cellular providers/telcos in the mix self-organization by citizens for local access large-scale hot spots:
More informationChapter 5 The Cellular Concept
hapter 5 The ellular oncept 1 ell Shape Actual cell/ideal cell Signal Strength Handoff egion ell apacity Traffic theory Erlang B and Erlang ell Structure Frequency euse euse Distance ochannel Interference
More informationRECOMMENDATION ITU-R F.1402*, **
Rec. ITU-R F.1402 1 RECOMMENDATION ITU-R F.1402*, ** FREQUENCY SHARING CRITERIA BETWEEN A LAND MOBILE WIRELESS ACCESS SYSTEM AND A FIXED WIRELESS ACCESS SYSTEM USING THE SAME EQUIPMENT TYPE AS THE MOBILE
More informationPath-loss and Shadowing (Large-scale Fading) PROF. MICHAEL TSAI 2015/03/27
Path-loss and Shadowing (Large-scale Fading) PROF. MICHAEL TSAI 2015/03/27 Multipath 2 3 4 5 Friis Formula TX Antenna RX Antenna = 4 EIRP= Power spatial density 1 4 6 Antenna Aperture = 4 Antenna Aperture=Effective
More informationELEC-E7120 Wireless Systems Weekly Exercise Problems 5
ELEC-E7120 Wireless Systems Weekly Exercise Problems 5 Problem 1: (Range and rate in Wi-Fi) When a wireless station (STA) moves away from the Access Point (AP), the received signal strength decreases and
More informationDec: IEEE P802.11/91-22 ------------------------------------ IEEE 802.11 Wireless Access Method and Physical Layer Specifications TITLE: TRADEOFF BETWEEN MODULATION BANDWIDTH EFFICIENCY AND MEDIUM REUSE
More informationUNIK4230: Mobile Communications Spring Per Hjalmar Lehne Tel:
UNIK4230: Mobile Communications Spring 2015 Per Hjalmar Lehne per-hjalmar.lehne@telenor.com Tel: 916 94 909 Cells and Cellular Traffic (Chapter 4) Date: 12 March 2015 Agenda Introduction Hexagonal Cell
More informationThe Cellular Concept. History of Communication. Frequency Planning. Coverage & Capacity
The Cellular Concept History of Communication Frequency Planning Coverage & Capacity Engr. Mian Shahzad Iqbal Lecturer Department of Telecommunication Engineering Before GSM: Mobile Telephony Mile stones
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 informationA New Analysis of the DS-CDMA Cellular Uplink Under Spatial Constraints
A New Analysis of the DS-CDMA Cellular Uplink Under Spatial Constraints D. Torrieri M. C. Valenti S. Talarico U.S. Army Research Laboratory Adelphi, MD West Virginia University Morgantown, WV June, 3 the
More informationECE 5325/6325: Wireless Communication Systems Lecture Notes, Fall Increasing Capacity and Coverage. Lecture 4
ECE 5325/6325: Wireless Communication Systems Lecture Notes, Fall 2011 Lecture 4 Today: (1) Sectoring (2) Cell Splitting Reading today: 3.7; Tue: 4.1-4.3, 4.9. HW 1 due Friday 10am in HW locker (#3). Please
More informationRedline Communications Inc. Combining Fixed and Mobile WiMAX Networks Supporting the Advanced Communication Services of Tomorrow.
Redline Communications Inc. Combining Fixed and Mobile WiMAX Networks Supporting the Advanced Communication Services of Tomorrow WiMAX Whitepaper Author: Frank Rayal, Redline Communications Inc. Redline
More informationImprovement in reliability of coverage using 2-hop relaying in cellular networks
Improvement in reliability of coverage using 2-hop relaying in cellular networks Ansuya Negi Department of Computer Science Portland State University Portland, OR, USA negi@cs.pdx.edu Abstract It has been
More informationLecture 5. Large Scale Fading and Network Deployment
Lecture 5 Large Scale Fading and Network Deployment Large Scale Fading 2 n Large scale variation of signal strength with distance n Consider average signal strength values n The average is computed either
More informationModelling Small Cell Deployments within a Macrocell
Modelling Small Cell Deployments within a Macrocell Professor William Webb MBA, PhD, DSc, DTech, FREng, FIET, FIEEE 1 Abstract Small cells, or microcells, are often seen as a way to substantially enhance
More informationNeural Network Approach to Model the Propagation Path Loss for Great Tripoli Area at 900, 1800, and 2100 MHz Bands *
Neural Network Approach to Model the Propagation Path Loss for Great Tripoli Area at 9, 1, and 2 MHz Bands * Dr. Tammam A. Benmus Eng. Rabie Abboud Eng. Mustafa Kh. Shater EEE Dept. Faculty of Eng. Radio
More informationTHE EFFECT of multipath fading in wireless systems can
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL. 47, NO. 1, FEBRUARY 1998 119 The Diversity Gain of Transmit Diversity in Wireless Systems with Rayleigh Fading Jack H. Winters, Fellow, IEEE Abstract In
More informationMRN -4 Frequency Reuse
Politecnico di Milano Facoltà di Ingegneria dell Informazione MRN -4 Frequency Reuse Mobile Radio Networks Prof. Antonio Capone Assignment of channels to cells o The multiple access technique in cellular
More informationFour-Sector Cross-Shaped Urban Microcellular Systems with Intelligent Switched-Beam Antennas
592 IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL. 50, NO. 2, MARCH 2001 Four-Sector Cross-Shaped Urban Microcellular Systems with Intelligent Switched-Beam Antennas Ho-Shin Cho, Member, IEEE, Jae Hoon
More informationEnergy and Cost Analysis of Cellular Networks under Co-channel Interference
and Cost Analysis of Cellular Networks under Co-channel Interference Marcos T. Kakitani, Glauber Brante, Richard D. Souza, Marcelo E. Pellenz, and Muhammad A. Imran CPGEI, Federal University of Technology
More informationENHANCED BANDWIDTH EFFICIENCY IN WIRELESS OFDMA SYSTEMS THROUGH ADAPTIVE SLOT ALLOCATION ALGORITHM
ENHANCED BANDWIDTH EFFICIENCY IN WIRELESS OFDMA SYSTEMS THROUGH ADAPTIVE SLOT ALLOCATION ALGORITHM K.V. N. Kavitha 1, Siripurapu Venkatesh Babu 1 and N. Senthil Nathan 2 1 School of Electronics Engineering,
More informationVehicle Networks. Wireless communication basics. Univ.-Prof. Dr. Thomas Strang, Dipl.-Inform. Matthias Röckl
Vehicle Networks Wireless communication basics Univ.-Prof. Dr. Thomas Strang, Dipl.-Inform. Matthias Röckl Outline Wireless Signal Propagation Electro-magnetic waves Signal impairments Attenuation Distortion
More informationAntenna arrangements realizing a unitary matrix for 4 4 LOS-MIMO system
Antenna arrangements realizing a unitary matrix for 4 4 LOS-MIMO system Satoshi Sasaki a), Kentaro Nishimori b), Ryochi Kataoka, and Hideo Makino Graduate School of Science and Technology, Niigata University,
More informationIEEE Working Group on Mobile Broadband Wireless Access <http://grouper.ieee.org/groups/802/mbwa>
2003-01-10 IEEE C802.20-03/09 Project Title IEEE 802.20 Working Group on Mobile Broadband Wireless Access Channel Modeling Suitable for MBWA Date Submitted Source(s)
More informationPAPER Fast S-Parameter Calculation Technique for Multi-Antenna System Using Temporal-Spectral Orthogonality for FDTD Method
1338 PAPER Fast S-Parameter Calculation Technique for Multi-Antenna System Using Temporal-Spectral Orthogonality for FDTD Method Mitsuharu OBARA a), Student Member, Naoki HONMA, Member, and Yuto SUZUKI,
More informationPerformance of ALOHA and CSMA in Spatially Distributed Wireless Networks
Performance of ALOHA and CSMA in Spatially Distributed Wireless Networks Mariam Kaynia and Nihar Jindal Dept. of Electrical and Computer Engineering, University of Minnesota Dept. of Electronics and Telecommunications,
More informationREPORT ITU-R M
Rep. ITU-R M.2113-1 1 REPORT ITU-R M.2113-1 Sharing studies in the 2 500-2 690 band between IMT-2000 and fixed broadband wireless access systems including nomadic applications in the same geographical
More informationEE 577: Wireless and Personal Communications
EE 577: Wireless and Personal Communications Dr. Salam A. Zummo Lecture 1: Introduction 1 Common Applications of Wireless Systems AM/FM Radio Broadcast VHF and UHF TV Broadcast Cordless Phones (e.g., DECT)
More informationReti di Telecomunicazione. Channels and Multiplexing
Reti di Telecomunicazione Channels and Multiplexing Point-to-point Channels They are permanent connections between a sender and a receiver The receiver can be designed and optimized based on the (only)
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 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 informationPerformance Analysis of UMTS Cellular Network using Sectorization Based on Capacity and Coverage in Different Propagation Environment
Performance Analysis of UMTS Cellular Network using Sectorization Based on Capacity and Coverage in Different Propagation Environment M. S. Islam 1, Jannat-E-Noor 2, Soyoda Marufa Farhana 3 1 Assistant
More informationUNIT-II 1. Explain the concept of frequency reuse channels. Answer:
UNIT-II 1. Explain the concept of frequency reuse channels. Concept of Frequency Reuse Channels: A radio channel consists of a pair of frequencies one for each direction of transmission that is used for
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 informationTeletraffic Modeling of Cdma Systems
P a g e 34 Vol. 10 Issue 3 (Ver 1.0) July 010 Global Journal of Researches in Engineering Teletraffic Modeling of Cdma Systems John S.N 1 Okonigene R.E Akinade B.A 3 Ogunremi O 4 GJRE Classification -
More informationStructure of the Lecture
Structure of the Lecture Chapter 2 Technical Basics: Layer 1 Methods for Medium Access: Layer 2 Representation of digital signals on an analogous medium Signal propagation Characteristics of antennas Chapter
More informationMobile Communications
Mobile Communications Part IV- Propagation Characteristics Professor Z Ghassemlooy School of Computing, Engineering and Information Sciences University of Northumbria U.K. http://soe.unn.ac.uk/ocr Contents
More informationCoverage and Rate in Finite-Sized Device-to-Device Millimeter Wave Networks
Coverage and Rate in Finite-Sized Device-to-Device Millimeter Wave Networks Matthew C. Valenti, West Virginia University Joint work with Kiran Venugopal and Robert Heath, University of Texas Under funding
More informationCOMPATIBILITY BETWEEN DECT AND DCS1800
European Radiocommunications Committee (ERC) within the European Conference of Postal and Telecommunications Administrations (CEPT) COMPATIBILITY BETWEEN DECT AND DCS1800 Brussels, June 1994 Page 1 1.
More informationNTT DOCOMO Technical Journal. 1. Introduction. Tatsuhiko Yoshihara Hiroyuki Kawai Taisuke Ihara
Base Station Antenna Multi-band The 700 MHz band has recently been allocated to handle the rapid increases in mobile communication traffic. Space limitations make it difficult to add new antennas where
More informationPerformance of Closely Spaced Multiple Antennas for Terminal Applications
Performance of Closely Spaced Multiple Antennas for Terminal Applications Anders Derneryd, Jonas Fridén, Patrik Persson, Anders Stjernman Ericsson AB, Ericsson Research SE-417 56 Göteborg, Sweden {anders.derneryd,
More informationMOBILE COMMUNICATIONS (650520) Part 3
Philadelphia University Faculty of Engineering Communication and Electronics Engineering MOBILE COMMUNICATIONS (650520) Part 3 Dr. Omar R Daoud 1 Trunking and Grade Services Trunking: A means for providing
More informationCapacity and Coverage Improvements of Adaptive Antennas in CDMA Networks
Capacity and Coverage Improvements of Adaptive Antennas in CDMA etworks V1.2 Erik Lindskog and Mitchell Trott ArrayComm, Inc. 248. First Street, Suite 2 San Jose, CA 95131-114 USA Tel: +1 (48) 428-98 Fax:
More informationOn Spectral Efficiency of Asynchronous OFDM/FBMC based Cellular Networks
2 IEEE 22nd International Symposium on Personal, Indoor and Mobile Radio Communications On Spectral Efficiency of Asynchronous OFDM/FBMC based Cellular Networks Yahia Medjahdi, Michel Terré, Didier Le
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 informationWIRELESS COMMUNICATIONS PRELIMINARIES
WIRELESS COMMUNICATIONS Preliminaries Radio Environment Modulation Performance PRELIMINARIES db s and dbm s Frequency/Time Relationship Bandwidth, Symbol Rate, and Bit Rate 1 DECIBELS Relative signal strengths
More informationCDMA Bunched Systems for Improving Fairness Performance of the Packet Data Services
CDMA Bunched Systems for Improving Fairness Performance of the Packet Data Services Sang Kook Lee, In Sook Cho, Jae Weon Cho, Young Wan So, and Daeh Young Hong Dept. of Electronic Engineering, Sogang University
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 informationPERFORMANCE ANALYSIS OF DIFFERENT M-ARY MODULATION TECHNIQUES IN FADING CHANNELS USING DIFFERENT DIVERSITY
PERFORMANCE ANALYSIS OF DIFFERENT M-ARY MODULATION TECHNIQUES IN FADING CHANNELS USING DIFFERENT DIVERSITY 1 MOHAMMAD RIAZ AHMED, 1 MD.RUMEN AHMED, 1 MD.RUHUL AMIN ROBIN, 1 MD.ASADUZZAMAN, 2 MD.MAHBUB
More informationSubmission to IEEE P Wireless LANs. Code Separation vs. Frequency Reuse
Submission to IEEE P802.11 Wireless LANs Title: Code Separation vs. Frequency Reuse Date: May 1998 Author: K. W. Halford, Ph.D. and Mark Webster Harris Corporation mwebster@harris.com Abstract This submission
More informationChapter 2 Cellular Wireless Communication
Chapter 2 Cellular Wireless Communication 2.1 Introduction Originally, the focus of mobile radio systems design was towards increasing the coverage of a single transceiver. A single powerful base station
More informationTraffic Modelling For Capacity Analysis of CDMA Networks Using Lognormal Approximation Method
IOSR Journal of Electronics and Communication Engineering (IOSR-JECE) e-issn: 2278-2834, p- ISSN: 2278-8735. Volume 4, Issue 6 (Jan. - Feb. 2013), PP 42-50 Traffic Modelling For Capacity Analysis of CDMA
More informationInterference in Finite-Sized Highly Dense Millimeter Wave Networks
Interference in Finite-Sized Highly Dense Millimeter Wave Networks Kiran Venugopal, Matthew C. Valenti, Robert W. Heath Jr. UT Austin, West Virginia University Supported by Intel and the Big- XII Faculty
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 information3.1. Historical Overview. Citizens` Band Radio Cordless Telephones Improved Mobile Telephone Service (IMTS)
III. Cellular Radio Historical Overview Introduction to the Advanced Mobile Phone System (AMPS) AMPS Control System Security and Privacy Cellular Telephone Specifications and Operation 3.1. Historical
More informationImpact of Interference Model on Capacity in CDMA Cellular Networks
SCI 04: COMMUNICATION AND NETWORK SYSTEMS, TECHNOLOGIES AND APPLICATIONS 404 Impact of Interference Model on Capacity in CDMA Cellular Networks Robert AKL and Asad PARVEZ Department of Computer Science
More informationGTBIT ECE Department Wireless Communication
Q-1 What is Simulcast Paging system? Ans-1 A Simulcast Paging system refers to a system where coverage is continuous over a geographic area serviced by more than one paging transmitter. In this type of
More informationAnalysis of massive MIMO networks using stochastic geometry
Analysis of massive MIMO networks using stochastic geometry Tianyang Bai and Robert W. Heath Jr. Wireless Networking and Communications Group Department of Electrical and Computer Engineering The University
More informationPerformance Study of MIMO-OFDM System in Rayleigh Fading Channel with QO-STB Coding Technique
e-issn 2455 1392 Volume 2 Issue 6, June 2016 pp. 190 197 Scientific Journal Impact Factor : 3.468 http://www.ijcter.com Performance Study of MIMO-OFDM System in Rayleigh Fading Channel with QO-STB Coding
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 informationCellular Wireless Networks and GSM Architecture. S.M. Riazul Islam, PhD
Cellular Wireless Networks and GSM Architecture S.M. Riazul Islam, PhD Desirable Features More Capacity Less Power Larger Coverage Cellular Network Organization Multiple low power transmitters 100w or
More informationdoi: /
doi: 10.1109/25.923057 452 IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL. 50, NO. 2, MARCH 2001 Theoretical Analysis of Reverse Link Capacity for an SIR-Based Power-Controlled Cellular CDMA System in
More informationBroadband Wireless Communication in an Occupied Frequency Band
The University of Kansas Technical Report Broadband Wireless Communication in an Occupied Frequency Band Dragan Trajkov Joseph Evans James Roberts ITTC-FY00-TR-15663-03 December 00 Project Sponsor: Sprint
More information