Dynamic optimized cooperation in multi‐source multi‐relay wireless networks with random linear network coding

The authors present a strategy that improves the reliability of data transmission from multiple sources towards a destination D via multiple relays over wireless channels. After the broadcast phase, the destination selects the best cooperative direct link sources with the highest instantaneous signa...

Full description

Saved in:
Bibliographic Details
Published in:Electronics letters Vol. 57; no. 8; pp. 347 - 350
Main Authors: Benamira, E., Merazka, F., Kurt, G. K.
Format: Journal Article
Language:English
Published: Stevenage John Wiley & Sons, Inc 01.04.2021
Wiley
Subjects:
Algebra
Codes
Coding
Cooperation
Data transmission
Decoding
Monte Carlo methods
Monte Carlo simulation
Network reliability
Nodes
Noise generation
Optimization
Packets (communication)
Radio links and equipment
Random variables
Reliability
Symbols
Wireless networks
ISSN:0013-5194, 1350-911X
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The authors present a strategy that improves the reliability of data transmission from multiple sources towards a destination D via multiple relays over wireless channels. After the broadcast phase, the destination selects the best cooperative direct link sources with the highest instantaneous signal‐to‐noise ratio γ, then generates and sends the random linear network coding coefficient matrix to the relays. After receiving the random linear network coding–coded symbols (packets) from the relays, D completes the reception and decoding of all source nodes packets. Monte Carlo simulations are conducted with Galois field (GF) (q) symbols (q = 2, 4 and 8) and the results are compared with the scenario of static cooperative direct links. An important decrease of symbol error rate (SER) is achieved. Furthermore, the efficiency of this approach is confirmed for the whole range of possible values of path loss exponent on direct links, that is, all types of environment between source nodes and destination D.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0013-5194
1350-911X
DOI:10.1049/ell2.12020