Title
A network coding based interference cancelation scheme for wireless ad hoc networks.
Abstract
The performance of wireless networks is limited by multiple access interference (MA!) in the traditional communication approach where the interfered signals of the concurrent transmissions are treated as noise. In this paper, we treat the interfered signals from a new perspective on the basis of additive electromagnetic (EM) waves and propose a network coding based interference cancelation (NCIC) scheme In the proposed scheme, adjacent nodes can transmit simultaneously with careful scheduling; therefore, network performance will not be limited by the MAI. Additionally we design a space segmentation method for general wireless ad hoc networks, which organizes network into clusters with regular shapes (e.g., square and hexagon) to reduce the number of relay nodes. The segmentation method works with the scheduling scheme and can help achieve better scalability and reduced complexity. We derive accurate analytic models for the probability of connectivity between two adjacent cluster heads which is important for successful information relay. We proved that with the proposed NCIC scheme, the transmission efficiency can be improved by at least 50% for general wireless networks as compared to the traditional interference avoidance schemes. Numeric results also show the space segmentation is feasible and effective Finally we propose and discuss a method to implement the NCIC scheme in a practical orthogonal frequency division multiplexing (OFDM) communications networks. Copyright (C) 2009 John Wiley & Sons, Ltd.
Year
DOI
Venue
2010
10.1002/wcm.817
WIRELESS COMMUNICATIONS & MOBILE COMPUTING
Keywords
Field
DocType
wireless ad hoc networks,wireless network coding,interference cancelation,cross-layer design
Radio resource management,Linear network coding,Wireless network,Telecommunications network,Computer science,Computer network,Network topology,Wireless ad hoc network,Orthogonal frequency-division multiplexing,Network performance
Journal
Volume
Issue
ISSN
10.0
8.0
1530-8669
Citations 
PageRank 
References 
0
0.34
9
Authors
5
Name
Order
Citations
PageRank
Chen Chen175.17
Lin Bai200.34
Kai Cai319812.04
Jianhua He459953.56
Haige Xiang515430.35