DocumentCode
2367111
Title
The maximum stable broadcast throughput for wireless line networks with network coding and topology control
Author
Hui, Ka Hung ; Sagduyu, Yalin Evren ; Guo, Dongning ; Berry, Randall A.
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., Northwestern Univ., Evanston, IL, USA
fYear
2010
fDate
17-19 March 2010
Firstpage
1
Lastpage
6
Abstract
We consider broadcasting from a single source to multiple destinations in a linear wireless erasure network with feedback. The problem is to find the maximum stable throughput under different transmission policies with opportunistic network coding and forwarding. Given stochastically varying traffic, we assume that network coding decisions are based on the availability of queued packets. The network is clustered into groups of terminals and network coding is applied locally to packets within each group. This allows us to evaluate the effects of topology control on the maximum stable rate. For each transmission policy we derive the optimal cluster size. We show that network coding improves the stable rate over plain retransmissions, and the network coding gain significantly benefits from opportunistic network coding, forwarding and topology control, ranging from 33% to 410%, depending on the physical channel parameters in the numerical experiments.
Keywords
broadcasting; network coding; telecommunication network topology; telecommunication traffic; wireless channels; linear wireless erasure network; multiple destinations; opportunistic network coding; opportunistic network forwarding; physical channel parameters; queued packets; stable broadcast throughput; stochastically varying traffic; topology control; transmission policy; wireless line networks; Automatic control; Automation; Broadcasting; Linear feedback control systems; Network coding; Network topology; Routing; Telecommunication traffic; Throughput; Traffic control;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Sciences and Systems (CISS), 2010 44th Annual Conference on
Conference_Location
Princeton, NJ
Print_ISBN
978-1-4244-7416-5
Electronic_ISBN
978-1-4244-7417-2
Type
conf
DOI
10.1109/CISS.2010.5464948
Filename
5464948
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