Title
A Markov Chain Approach for Myopic Multi-Hop Relaying: Outage and Diversity Analysis
Abstract
In this paper, a cooperative protocol is investigated for a multi-hop network consisting of relays with buffers of finite size, which may operate in different communication modes. The protocol is based on the myopic decode-and-forward strategy, where each node of the network cooperates with a limited number of neighboring nodes for the transmission of the signals. Each relay stores in its buffer the messages that were successfully decoded, in order to forward them through the appropriate channel links, based on its supported communication modes. A complete theoretical framework is investigated that models the evolution of the buffers and the transitions at the operations of each relay as a state Markov chain (MC). We analyze the performance of the proposed protocol in terms of outage probability and derive an expression for the achieved diversity-multiplexing tradeoff, by using the state transition matrix and the related steady state of the MC. Our results show that the proposed protocol outperforms the conventional multi-hop relaying scheme and the system’s outage probability as well as the achieved diversity order depend on the degree of cooperation among neighboring nodes and the communication model that is considered for every relay of the network.
Year
DOI
Venue
2022
10.1109/JSTSP.2021.3128810
IEEE Journal of Selected Topics in Signal Processing
Keywords
DocType
Volume
Cooperative networks,multi-hop relaying,myopic strategy,outage probability,diversity-multiplexing tradeoff,Markov chain
Journal
16
Issue
ISSN
Citations 
1
1932-4553
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Andreas Nicolaides100.34
Constantinos Psomas27819.13
Ioannis Krikidis33348180.98