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  • CCA
  • GC-CCA 2012
  • 34.Cnf-461
Papers Published at GC-CCA 2012
All 14 Papers
IDAuthors and TitlePages
34.Cnf-227 Ms. Imane Benkhelifa
Dr. Samira Moussaoui
Speed and Direction Prediction-based Localization for Wireless Sensor Networks
1-6
34.Cnf-266 Dr. Imad Zyout
Dr. Ikhlas Abdel-Qader
An Improvement of Texture-Based Classification of Microcalcification Clusters in Mammography using PSO-SVM Approach
7-12
34.Cnf-349 Mr. Ali Ihbeel
Dr. Hasein I. Sigiuk
Performance Evaluation of Three MANET Protocols on WSN
13-21
34.Cnf-357 Mr. Gaojie Chen
Mr. Ousama Alnatouh
Ms. Lu Ge
Prof. Jonathon Chambers
A Distributed Differential Space-Time Coding With Full Interference Cancellation Scheme for A Cooperative Four Relay Network
22-26
34.Cnf-363 Prof. Thamer M. Jamel
Mr. Karam Naji
Simple Variable Step Size LMS Algorithm for Adaptive Identification of IIR Filtering System
27-32
34.Cnf-365 Dr. M Ayyash
Dr. Yazeed A. Al-Sbou
Towards A Cross-Layer Framework for Quality of Service Provisioning in Cognitive Radio Networks
33-38
34.Cnf-415 Dr. Mohammad Reza Salehi
Dr. Ebrahim Abiri
Mr. Hamed Shahraki
Design of a 4-10 GHz low noise amplifier based on coupled inductors for communication systems
39-44
34.Cnf-435 Ms. Faiza Mekhalfa
Prof. Daoud Berkani
Comparison of fractal compression methods impact on radiographic images of weld defects
45-50
34.Cnf-436 Mrs. Besat Jafarian
Prof. Nasser Yazdani
B-tree based packet classification (B2-PC)
51-56
34.Cnf-437 Dr. Kerem Kucuk
Dr. Necla Bandirmali
Prof. Adnan Kavak
Modeling of the modified SSLE in OPNET for large scale wireless sensor networks
57-62
34.Cnf-441 Mr. Gökhan Seçinti
Dr. Turgay Altilar
Virtual Laxity Driven Scheduling for Multiprocessor Real-Time Systems
63-68
34.Cnf-443 Dr. Takeshi Matsuda
Dr. Daiki Koizumi
Mr. Michio Sonoda
Cross Site Scripting Attacks Detection Algorithm Based on the Appearance Position of Characters
69-74
34.Cnf-446 Mr. Afonso J. Faria
Prof. Jose Brito
Average Delay in Cognitive Radio Networks Using Slotted ALOHA
75-80
34.Cnf-447 Mr. Helmi Ahmed
Prof. Mohamed Massmoudi
intensive Computing in advanced wireless sensor node: potential solution
81-87
34.Cnf-461 Paper View Page
Title Outage Probability Analysis of A Multi-Path Cooperative Communication Scheme Based on Single Relay Selection
Authors Dr. Masoud Eddaghel, Loughborough University, Loughborough, UK
Mr. Usama Mannai, Loughborough University, Loughborough, UK
Prof. Jonathon Chambers, Loughborough University, Loughborough, UK
Abstract In this paper, we consider outage probability analysis of an amplify-and-forward (AF) type two-hop cooperative multi-relay communication network which transmits over multi-path channels with best single relay selection. The multi-path links are modeled in the time domain as an Erlang distribution function. By exploiting this model, we are able to analyse the outage probability through the cumulative density function (CDF) of the end-to-end signal-to-noise ratio (SNR) for an arbitrary multi-path channel length L and an arbitrary number of relay nodes N with best single relay selection. Moreover, the spatial and temporal cooperative diversity order of the network is studied. Finally, theoretical outage probability is verified by simulation.
Track CSC: Communications, Signals and Coding
Conference 5th Mosharaka International Conference on Communications, Computers and Applications (MIC-CCA 2012)
Congress 2012 Global Congress on Communications, Computers and Applications (GC-CCA 2012), 12-14 October 2012, Istanbul, Turkey
Pages --1
Topics MIMO Wireless Communications
Signal Processing for Communications
ISSN 2227-331X
DOI
BibTeX @inproceedings{461CCA2012,
title={Outage Probability Analysis of A Multi-Path Cooperative Communication Scheme Based on Single Relay Selection},
author={Masoud Eddaghel, and Usama Mannai, and Jonathon Chambers},
booktitle={2012 Global Congress on Communications, Computers and Applications (GC-CCA 2012)},
year={2012},
pages={--1},
doi={}},
organization={Mosharaka for Research and Studies} }
Paper Views 18 Paper Views Rank 403/524
Paper Downloads 14 Paper Downloads Rank 367/524
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