DocumentCode :
1935526
Title :
Optimization frameworks for wireless network coding under multi-hop node interference
Author :
Xiong, Chengyu ; Li, Xiaohua
Author_Institution :
Dept. of Electr. & Comput. Eng., State Univ. of New York at Binghamton, Binghamton, NY, USA
fYear :
2010
fDate :
Oct. 31 2010-Nov. 3 2010
Firstpage :
1387
Lastpage :
1392
Abstract :
Based on an information model that classifies intermediate nodes in multicast networks into network coding, routing and replicating nodes, multicast max-flow and minimum cost optimization frameworks are formulated to solve optimization problems in wireless networks with or without network coding. Two special properties of wireless transmissions are taken into consideration, i.e., multi-hop cooperation and mutual interference among nodes. Using maximal ratio combining (MRC) for node cooperation and successive interference cancellation (SIC) for interference mitigation, signal-to-interference-plus-noise ratio (SINR) expressions for wireless nodes are derived. Such expressions are then used to modify the edge capacity in the optimization frameworks. The proposed method is helpful to the study of node cooperation and competition in multi-hop wireless communication networks.
Keywords :
interference suppression; multicast communication; network coding; optimisation; radio networks; edge capacity; interference mitigation; maximal ratio combining; minimum cost optimization framework; multi-hop cooperation; multi-hop node interference; multicast max-flow framework; multicast networks; mutual interference; network routing; replicating nodes; signal-to-interference-plus-noise ratio; successive interference cancellation; wireless network coding; wireless transmissions; Interference; Network coding; Optimization; Receivers; Signal to noise ratio; Wireless networks; multicast network; mutual interference; network coding; network optimization; wireless network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
MILITARY COMMUNICATIONS CONFERENCE, 2010 - MILCOM 2010
Conference_Location :
San Jose, CA
ISSN :
2155-7578
Print_ISBN :
978-1-4244-8178-1
Type :
conf
DOI :
10.1109/MILCOM.2010.5680139
Filename :
5680139
Link To Document :
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