WIMAX TECHNOLOGY APPLICATION RESEARCH IN THE KLAIPEDA REGION

Similar documents
Review of Path Loss models in different environments

[Raghuwanshi*, 4.(8): August, 2015] ISSN: (I2OR), Publication Impact Factor: 3.785

BreezeACCESS VL. Beyond the Non Line of Sight

Wireless Physical Layer Concepts: Part III

Analysis Of Wimax Connectivity In Rural And Urban Area Using Propagation Model

Performance Analysis of Fixed WiMAX in Metropolitan Area

Performance Enhancement of WiMAX System using Adaptive Equalizer

TESTING OF FIXED BROADBAND WIRELESS SYSTEMS AT 5.8 GHZ

System Specification. BreezeACCESS TM EZ. January 2008

Wireless WAN Case Study: WiMAX/ W.wan.6

Neha Pathak #1, Neha Bakawale *2 # Department of Electronics and Communication, Patel Group of Institution, Indore

The Physical Performance and Path Loss in a Fixed WiMAX Deployment

WiMAX/ Wireless WAN Case Study: WiMAX/ W.wan.6. IEEE 802 suite. IEEE802 suite. IEEE 802 suite WiMAX/802.16

Wireless Broadband Networks

Overview of IEEE Broadband Wireless Access Standards. Timo Smura Contents. Network topologies, frequency bands

Using the epmp Link Budget Tool

Introduction to WiMAX Dr. Piraporn Limpaphayom

Motorola Wireless Broadband Technical Brief OFDM & NLOS

Analysis of Propagation Models for WiMAX at 3.5 GHz

Guide to Wireless Communications, Third Edition Cengage Learning Objectives

Revision of Lecture One

Canopy Backhaul Portfolio. Motorola s flexible MOTOwi4 backhaul solutions

Planning Your Wireless Transportation Infrastructure. Presented By: Jeremy Hiebert

ELEC-E7120 Wireless Systems Weekly Exercise Problems 5

Mobile Hata Model and Walkfisch Ikegami

Considerations for deploying mobile WiMAX at various frequencies

BER ANALYSIS OF WiMAX IN MULTIPATH FADING CHANNELS

Mobile Radio Wave propagation channel- Path loss Models

Department of Computer Science Institute for System Architecture, Chair for Computer Networks

Design and Planning of WiMAX Networks (MobileMAN)

Institute of Electrical and Electronics Engineers (IEEE) PROPOSED AMENDMENTS TO ANNEX 15 TO DOCUMENT 8A/202

Propagation and Throughput Study for Broadband Wireless Systems at 5.8 GHz

5 GHz Radio Channel Modeling for WLANs

RAPTORXR. Broadband TV White Space (TVWS) Backhaul Digital Radio System

Revision of Lecture One

EC 551 Telecommunication System Engineering Mohamed Khedr

Point to Point PTP500

OBJECTIVES. Understand the basic of Wi-MAX standards Know the features, applications and advantages of WiMAX

Performance Evaluation of IEEE e (Mobile WiMAX) in OFDM Physical Layer

Modelling and Performances Analysis of WiMAX/IEEE Wireless MAN OFDM Physical Downlink

Communication Technology DiTEX 256 The wireless access network

RADWIN 2000 PORTFOLIO

ISSN Vol.03,Issue.13 June-2014, Pages:

Motorola s Wireless Broadband Point-to-Point Solutions. The PTP 100, 400 & 600 Series Part of Motorola s MOTOwi4 portfolio

LMS4000 & NCL MHz Radio Propagation

NetPoint Pro. 6x2.4, 6x5.8, 3x2.4, 3x5.8. Wi-Fi base Stations Providing Superior Connectivity

Data and Computer Communications. Tenth Edition by William Stallings

Performance analysis of Propagation Models of Wi-MAX in Urban, Suburban Area

Redline Communications Inc. Combining Fixed and Mobile WiMAX Networks Supporting the Advanced Communication Services of Tomorrow.

Multiple Antenna Systems in WiMAX

Investigation of WI-Fi indoor signals under LOS and NLOS conditions

WiMAX Summit Testing Requirements for Successful WiMAX Deployments. Fanny Mlinarsky. 28-Feb-07

REPORT ITU-R M Characteristics of broadband wireless access systems operating in the land mobile service for use in sharing studies

500 Series AP and SM CAP and CSM Licensed, Reliable Wireless Connectivity

A R DIGITECH International Journal Of Engineering, Education And Technology (ARDIJEET) X, VOLUME 2 ISSUE 1, 01/01/2014

Boosting Microwave Capacity Using Line-of-Sight MIMO

SEN366 (SEN374) (Introduction to) Computer Networks

RECOMMENDATION ITU-R F Radio interface standards for broadband wireless access systems in the fixed service operating below 66 GHz

CSC344 Wireless and Mobile Computing. Department of Computer Science COMSATS Institute of Information Technology

RADWIN 5000 JET REDEFINING POINT-TO-MULTIPOINT WIRELESS CONNECTIVITY IN SUB-6GHZ BANDS

Seamless wireless broadband infrastructure for carriers, ISPs, and network operators.

Airmux-400 Broadband Wireless Multiplexer

UNIT- 7. Frequencies above 30Mhz tend to travel in straight lines they are limited in their propagation by the curvature of the earth.

BEST-IN-CLASS WIRELESS PERFORMANCE

Simulation of Outdoor Radio Channel

WiMAX Network Design and Optimization Using Multi-hop Relay Stations

Radio propagation modeling on 433 MHz

WiMAX-Ready NLOS/OFDM Broadband Solutions

OFDMA and MIMO Notes

High Spectral Efficiency Designs and Applications. Eric Rebeiz, Ph.D. Director of Wireless Technology 1 TARANA WIRELESS, INC.

Dimensioning Cellular WiMAX Part II: Multihop Networks

Performance Analysis of WiMAX Physical Layer Model using Various Techniques

TDD and FDD Wireless Access Systems

Link Budget Calculation

Cellular Expert Radio Links module features

Business Case Models for Fixed Broadband Wireless Access based on WiMAX Technology and the Standard October 10, 2004

Università degli Studi di Catania Dipartimento di Ingegneria Informatica e delle Telecomunicazioni WiMAX

RADWIN SOLUTIONS. ENTRPRISE Broadband Wireless Access. Video Surveillance. Remote area BB Connectivity. Small Cell Backhaul

Evaluating IEEE Broadband Wireless as a Communications. Activities. Award #2006-IJ-CX-K035

ITU-T. Series L Supplement 23 (04/2016)

Fixed Low-Frequency Broadband Wireless Access Radio Systems

COMPARISON BETWEEN LTE AND WIMAX

Low-power shared access to spectrum for mobile broadband Modelling parameters and assumptions Real Wireless Real Wireless Ltd.

Performance Evaluation of Mobile Wireless Communication Channel Gangeshwar Singh 1 Vaseem Khan 2

5 GHz, and WiMax

RADWIN 5000 HPMP HIGH CAPACITY POINT-TO-MULTIPOINT. RADWIN 5000 HPMP product brochure RIDE THE RADWIN 5000 HPMP WIRELESS HIGHWAY

MULTIPLE-INPUT MULTIPLE-OUTPUT (MIMO) The key to successful deployment in a dynamically varying non-line-of-sight environment

Planning of LTE Radio Networks in WinProp

UNIK4230: Mobile Communications Spring 2013

Correspondence. The Performance of Polarization Diversity Schemes at a Base Station in Small/Micro Cells at 1800 MHz

Performance Evaluation of Mobile Wireless Communication Channel in Hilly Area Gangeshwar Singh 1 Kalyan Krishna Awasthi 2 Vaseem Khan 3

License Exempt Spectrum and Advanced Technologies. Marianna Goldhammer Director Strategic Technologies

Structure of the Lecture

Performance Analysis of Multi-format WDM-RoF Links Based on Low Cost Laser and SOA

Chapter 5: WMAN - IEEE / WiMax. 5.1 Introduction and Overview 5.2 Deployment 5.3 PHY layer 5.4 MAC layer 5.5 Network Entry 5.

RADWIN 5000 HPMP HIGH CAPACITY POINT TO MULTI-POINT. RADWIN 5000 HPMP product brochure RIDE RADWIN 5000 HPMP WIRELESS HIGHWAY

2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media,

Simulation Analysis of the Long Term Evolution

Broadband Wireless Access: A Brief Introduction to IEEE and WiMAX

Wireless TDMA Mesh Networks

Transcription:

WIMAX TECHNOLOGY APPLICATION RESEARCH IN THE KLAIPEDA REGION Arunas Andziulis, Valdemaras Pareigis, Violeta Bulbenkiene, Danielius Adomaitis, Mindaugas Kurmis, Sergej Jakovlev Klaipeda University, Department of informatics engineering, Bijunu str. 17, Klaipeda, Lithuania, arunas.andziulis@ik.ku.lt, valdevaldas@gmail.com, bulbenkiene@ik.ku.lt, danielius.adomaitis@gmail.com, mindaugask01@gmail.com, s.jakovlev@imperatum.lt Abstract. The main WiMAX wireless networks arising problems are related to the information signal loss on the emerging obstacles in his way. Signal strength and information transfer rate are directly related to the regional geographical and urban peculiarities. In this case to avoid partly leveling in this type of networks, technology based on OFDM is invoked which enables to adjust information packages transferred in WiMAX networks. Measured received signal strength indicator (RSSI) experimental results are associated with the established OFDM signal set limited thresholds, when WiMAX unfits for connect even with low-level modulation of a certain region points. Wireless network signal orthogonal frequencydivision multiplexing OFDM technology enables operators to effectively handle the direct and indirect "visibility" challenges only within a certain distance between stations. Keywords: WiMAX, RSSI, LOS, NLOS, OFDM, wireless. 1 Introduction WiMAX (Worldwide Interoperability for Microwawe Access) technology usage is becoming increasingly common in this rapidly expanding wireless technology. While applying this technology it is relevant to know in what distances will be given highest quality which is described by a set of performance indicators in a particular urban region: service unavailability, service activation time, service interruption rate, data flow quality, reconnection start failure ratio, service activation time, IP (internet protocol) -based service start failure ratio, IP service connection time, average data transfer rate, data interruption transmission ratio, activation failure ratio, service activation time [1, 2, 3, 5, 6, 7]. The paper analyses one of the most important WiMAX signal quality describing the RSSI (received signal strength indicator) parameter that influences the service performance indicators. The work carried measurements and calculations analysis with set limit values for thresholds of OFDM (Orthogonal frequencydivision multiplexing) signal, when WiMAX is obsolete to connect even with low-level modulation in a given region points. 2 WiMAX wireless networks information service environment WiMAX has two basic parts - the base station and subscriber station (Fig.1). All base stations are connected to the commutation center. Base stations antennas are mounted on special towers or high buildings rooftops. Frequency range from 3.4 to 3.6 GHz is used in Lithuania to connect base station with subscriber station. Base station can have one, two, three or four service areas. In the investigated case the base stations had three service areas, divided into 120 sectors. Figure 1. Interaction between a base station and subscriber equipment - 48 -

Each sector and its serviced subscriber equipment have its own frequency, and the optimal modulation is automatically selected depending on the signal quality (Fig. 2). For example, if the subscriber station is far away from the nearest base station the connection is guaranteed to it, but with low-level modulation, that is the maximum speed is slowing down. It is investigated when signal is modulated with high-level modulation: QAM64 3/4 (Quadrature amplitude modulation), QAM64 2/3 and QAM16 3/4. Figure 2. Adaptive modulation [3] Measurements were made in Klaipeda region. WiMAX of ones base station s systems OFDM signals dispersion diagram in Klaipeda region is shown in Fig. 3. Figure 3. WiMAX model in Klaipeda region Technical equipment: WiMAX Base Station Alvarion BreezeMAX 3650; Subscriber station Alvarion BMAX-CPE-ODU-PRO-L-TDD-SA-3.5; comprised of an Outdoor radio unit (ODU) and indoor network interface unit (IDU). Integrated managed voice and data services. Various interface configurations: Up to 4 data ports, 2 voice ports and Wi-Fi. Suitable for corporate and rural installations. Dual FDD/TDD mode. Equipments parameters are shown in table 1. Table 1. Equipment used to obtain parameters of experimental results Standards Peak down link data rate one sector Peak uplink date rate one sector Bandwidth Modulation Multiplexing Duplexing Frequency Delay WiMAX IEEE 802.16 7-9 Mbps 4-5 Mbps 5Mhz BPSK, QPSK,16QAM, 64QAM TDM TDD, FDD 3.5GHz 5ms - 49 -

During experiments weather conditions were between -11o and -12o Celsius and cloudy days. Measurements were made in line of sight (LOS) and non line of sight (NLOS) conditions. Quality describing service performance indicators are presented in Table 2 based on [4] and the new following parameters IPTV, Peer 2 Peer, Skype were added to this table. Table 2. Individual services of performance indicators for the application Services No Performance indicators Peer 2 IPTV e-mail Peer Skype HTTP FTP 1. Service unavailability [%] + + + + + + 2. Service activation time[s] + 3. Service interruption rate [%] + 4. Data flow quality + 5. Reconnection start failure ratio[%] + 6. Service activation time[s] + + + + + 7. IP-based service start failure ratio [%] + + + + 8. IP service connection time[s] + + + + 9. Average data transfer rate [kbit/s] + + + + 10. Data interruption transmission ratio [%] + + + + 11. Activation failure ratio [%] + 12. Service activation time[s] + Classic case of RSSI changes, moving further away from the base station is calculated: where r is the distance from the base station (km) [5]. RSSI = 62.5 26.5log( r) (1) The radio channel of a wireless communication system is often described as being either LOS (line of sight) or NLOS (non line of sight). In a LOS link, a signal travels over a direct and unobstructed path from the transmitter to the receiver. In a NLOS link, a signal reaches the receiver through reflections, scattering, and diffractions. The signals arriving at the receiver consists of components from the direct path, multiple reflected paths, scattered energy, and diffracted propagation paths. These signals have different delay spreads, attenuation, polarizations, and stability relative to the direct path. The multi path phenomena can also cause the polarization of the signal to be changed. Thus using polarization as a means of frequency re-use, as is normally done in LOS deployments can be problematic in NLOS applications [6]. LOS conditions are associated with well-known free space spreading model, whose loss is calculated by the COST 231 Walfisch-Ikegami model formula: LOS = ( 42.6 + 20log( d) + 20log( f )) (2) where d is the distance (km) between base station and subscriber station, and f is the stations operating frequency (GHz)[7]. Therefore, according (1) formula, that WiMAX works 3500MHz frequency in Lithuania the LOS signal flow change is calculated moving further away from the base station. WiMAX penetration of 30 km has been selected in LOS conditions. Classic case of urban area the mean path loss is calculated: NLOS = ( 12.5 + 20log( fc ) + 10η log(10d)) (3) fc where is carrier frequency (MHz), d - distance between base station and subscriber station (d>0.1km) [8], η is a factor that depends on the geographical terrain properties: c η = a b hbs + (4) h hbs Where describes the base station antenna height, mean power attenuation parameters: a =4.6, b =0.005 and c =20 [9]. BS - 50 -

Knowing the Klaipeda region building heights, potential buildings were a base station could be fitted average height is 50 meters. Klaipeda region can also be considered plain, because there are no mountains or high hills. NLOS propagation has been calculated on the basis of formulas 3 and 4. 3 Results The schedule shows the experimental points obtained using Alvarion WiMAX technical equipment. It also shows the RSSI curve (calculated by 1 formula), LOS (calculated by formula 2), NLOS (calculated in accordance with 3, 4 formulas). Figure 4. RSSI, LOS and NLOS change from base station The study of experimental points showed that the high productivity in services is consistent with the results is clustered in the first 7 km from the base station. The further distances from the base station lack of experimental points show that the distance from the base station more than 7 km is very difficult to achieve good standards of service performance indicators because of: high percentage of service unavailability, long service activation time, high service interruption rate, bad data flow quality, big reconnection start failure ratio, long service activation time, consistent IP-based service start failure ratio, long IP service connection time, low average data transfer rate, high data interruption transmission ratio, high activation failure ratio and long service activation time. Done calculations showed that LOS dependence (green long dash line) loss signal curve considerably goes down to around 13 km, then when moving further away from the base station signal is not so much gradually weakening. Yellow square dot shaded curve shows that the signal is uniformly weakening while operating in NLOS conditions, the weakening of the received signal is almost linear. From 8 km the signal in NLOS conditions reaches OFDM signal threshold limit, and therefore it is no longer suitable for WiMAX connection, even with low-level modulation, the service achieves a high percentage of unavailability. From the graph we notice that the flows of the transmission losses are always lower under circumstances of LOS. Therefore, it is possible the equipment should be built in a way that would achieve LOS conditions, what makes a good service performance indicator. The first three kilometers of the signal spreading the differences between the LOS and NLOS is not so great that s why the average data transfer speed difference are not significant, as moving further away from the base station. The signal for connection in NLOS conditions of the WiMAX is unsuitable 4 km away from base station, due to high service interruption rate, it remains appropriate in NLOS conditions until 11 km. RSSI curve shows that the signal from 20 km distance is no longer suitable for WiMAX subscriber station to connect, as the value reaches the threshold of 97 dbm marginal importance to WiMAX, which supports low-level WiMAX BPSK ½ modulation. Majority of experimental points are located around RSSI curve. Some of the points are away to the top of the line more, because in good LOS conditions RSSI value increases and service performance indicators improve. The points that are more remote from the RSSI curve to the bottom work in NLOS condition, which increases the probability of connection errors. These points are only in the first 8km, where WiMAX signal is able to function properly in NLOS conditions. - 51 -

4 Conclusions Done measurements show that good performance indicators corresponding to the service points are clustered in the first 7 km from the base station, so if the account reaches a high quality internet access the subscriber station cannot be separated further than 7 km from the base station. From the results of measurements, we see that the RSSI signal depends on the distance and the connection conditions (LOS or NLOS), and that the limit distance from the station is 20 km and in a greater distance the signal is too weak to connect the WiMAX. The measurements results let affirm that in LOS conditions propagated signal quality and performance indicators are always better than the NLOS conditions. Under the distance further than 4 km NLOS conditions, the signal is unsuitable for connection of low productivity rates. Calculations and measurements showed that high-quality Internet access with good performance indicators is available at the distance of 8 km, unless there is a perfect line of sight conditions. References [1] Shyy, D. J., Ma, J., Refaei, M. T., WiMAX RF Planner. Testbeds and Research Infrastructures for the Development of Networks & Communities and WorkshopsTridentCom 2009. 5th International Conference on 2009. p. 1-3. [2] Wu, R. H., Lee, Y. H., Tseng, H. W., etc. Study of Characteristics of RSSI Signal. Industrial Technology. ICIT 2008. IEEE International Conference. 2008. p 1 3. [3] Nuaymi, L. WiMAX - Technology for Broadband Wireless Access. John Wiley and Sons Publication. 2007. p 286. [4] European Telecommunications Standards Institute. Standards. http://electronics.ihs.com/collections/etsi/etsi- 2.htm. [5] Grøndalen, O., Grønsund, P., Breivik, T., Engelstad, P. Fixed WiMAX Field Trial Measurements and Analyses. Proceedings of the 16th IST Mobile and Wireless Communication Summit (MobileSummit 2007). Budapest. Hungary. 2007. [6] WiMAX Forum. WiMAX NLOS general. http://www.wimaxforum.org/technology/downloads/wimaxnlosgeneral-versionaug04.pdf. 2004 p/10. [7] IT - Instituto de Telecomunicações. COST Action 321. http://www.lx.it.pt/cost231/, Chapter 4. 2009. [8] Erceg V. Anempirically based path loss model for wireless channels in suburban environments. IEEE Journal on Selected Areas in Communications. 1999, volume 17. [9] Erceg V. Channel models for fixed wireless applications. IEEE 802.16 BWA Working Group. 2001. - 52 -