Inlämning av Examensarbete / Submission of Thesis

MD. JAHERUL ISLAM , pp. 74. COM/School of Computing, 2012.

The work

Författare / Author: MD. JAHERUL ISLAM
Titel / Title: Performance Analysis of Diversity Techniques for Wireless Communication System
Abstrakt Abstract:

Different diversity techniques such as Maximal-Ratio
Combining (MRC), Equal-Gain Combining (EGC) and Selection Combining (SC) are described and analyzed. Two branches (N=2) diversity systems that are used for pre-detection combining have been investigated and computed. The statistics of carrier to noise ratio (CNR) and carrier to interference ratio (CIR) without diversity assuming Rayleigh fading model have been examined and then measured for diversity systems. The probability of error (p_e) vs CNR and (p_e) versus CIR have also been obtained. The fading dynamic range of the
instantaneous CNR and CIR is reduced remarkably when diversity systems are used [1]. For a certain average probability of error, a higher valued average CNR and CIR is in need for non-diversity systems [1]. But a smaller valued of CNR and CIR are compared to diversity systems. The overall conclusion is that maximal-ratio combining (MRC) achieves the best performance improvement compared to other combining methods. Diversity techniques are very useful to improve the performance of high speed wireless channel to transmit data and information. The problems which considered in this thesis are not new but I have tried to organize, prove and analyze in new ways.

Ämnesord / Subject: Telekommunikation - Telecommunications
Elektroteknik - Electrotechnology
Mathematics\Probability and Statistics
Nyckelord / Keywords: Maximal-Ratio Combining (MRC), Equal-Gain Combining (EGD), Selection Combining (SC), Carrier to Noise Ratio (CNR), Carrier to Interference Ratio (CIR), Diversity Techniques, Path Loss, Channel Propagation.

Publication info

Dokument id / Document id: houn-929v2f
Program:/ Programme Electrical Engineering with emphasis on Telecommunication
Registreringsdatum / Date of registration: 11/22/2012
Uppsatstyp / Type of thesis: Masterarbete/Master's Thesis (120 credits)


Handledare / Supervisor: Magnus G Nilsson
Organisation / Organisation: Blekinge Institute of Technology
Institution / School: COM/School of Computing

+46 455 38 50 00

Files & Access

Bifogad uppsats fil(er) / Files attached: bth2012islam.pdf (831 kB, öppnas i nytt fönster)