Paper Info
Title
Prioritized Random MAC Optimization via Graph-based Analysis.
Abstract
Motivated by the analogy between successive interference cancellation and iterative belief-propagation on erasure channels, irregular repetition slotted ALOHA (IRSA) strategies have received a lot of attention in the design of medium access control protocols. In this work, we consider generic systems where sources in different importance classes compete for a common channel. We propose a new prioritized IRSA algorithm and derive the probability to correctly resolve collisions for data from each source class. We then make use of our theoretical analysis to formulate a new optimization problem for selecting the transmission strategies of heterogenous sources. We optimize both the replication probability per class and the source rate per class, in such a way that the overall system utility is maximized. We then propose a heuristic-based algorithm for the selection of the transmission strategy, which is built on intrinsic characteristics of the iterative decoding methods adopted for recovering from collisions. Experimental results validate the accuracy of the theoretical study and show the gain of well-chosen prioritized transmission strategies for transmission of data from heterogenous classes over shared wireless channels.
Year
DOI
Venue
2015
10.1109/TCOMM.2015.2494044
IEEE Trans. Communications
Keywords
Field
DocType
Silicon carbide,Iterative decoding,Optimization,Algorithm design and analysis,Media Access Protocol,Asymptotic stability
Heuristic,Mathematical optimization,Wireless,Algorithm design,Aloha,Computer science,Single antenna interference cancellation,Communication channel,Electronic engineering,Decoding methods,Optimization problem,Distributed computing
Journal
Volume
Issue
ISSN
abs/1501.00587
12
0090-6778
Citations 
PageRank 
References 
8
0.53
27
Authors
2
Name
Order
Citations
PageRank
Laura Toni118615.22
Pascal Frossard23015230.41