Title
Message passing in distributed wireless networks
Abstract
In distributed wireless networks, nodes often do not know the topology (network size, connectivity and the channel gains) of the network. Thus, they cannot compute their own maximum transmission rate and appropriate transmission scheme. In this paper, we address the inter-related problems of learning the network and the associated best achievable rates. To make progress, we will focus on K-user deterministic interference networks. First, we propose a message passing algorithm which allows nodes to incrementally learn the network topology. In each round of message passing, nodes forward what they believe is the new information to their neighbors and thus the network topology information trickles via broadcasts. Next, we consider two special examples of Z-channel and double-Z interference network and determine the sum-rate points with incomplete network information at different nodes. We show that the sum-rate point can in fact be achieved with less than full information at all the nodes but in general, less network information implies reduced set of achievable rates. In order to analyze the performance of a double-Z interference network with limited information, we find the capacity region of a deterministic double-Z interference network with full information, which is of independent interest.
Year
DOI
Venue
2009
10.1109/ISIT.2009.5206036
Seoul
Keywords
Field
DocType
network size,wireless network,k-user deterministic interference network,network topology information trickle,network topology,double-z interference network,incomplete network information,deterministic double-z interference network,full information,network information,message passing,wireless sensor networks,data mining,transmitters,connectivity,topology
Linear network coding,Average path length,Wireless network,Network delay,Computer science,Computer network,Network simulation,Network topology,Hierarchical network model,Loss network,Distributed computing
Conference
ISBN
Citations 
PageRank 
978-1-4244-4313-0
11
1.08
References 
Authors
8
3
Name
Order
Citations
PageRank
Vaneet Aggarwal1852101.16
Youjian Liu260549.82
Ashutosh Sabharwal35731427.69