TY - GEN
T1 - The maximum stable broadcast throughput for wireless line networks with network coding and topology control
AU - Hui, Ka Hung
AU - Sagduyu, Yalin Evren
AU - Guo, Dongning
AU - Berry, Randall A.
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
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U2 - 10.1109/CISS.2010.5464948
DO - 10.1109/CISS.2010.5464948
M3 - Conference contribution
AN - SCOPUS:77953714245
SN - 9781424474172
T3 - 2010 44th Annual Conference on Information Sciences and Systems, CISS 2010
BT - 2010 44th Annual Conference on Information Sciences and Systems, CISS 2010
T2 - 44th Annual Conference on Information Sciences and Systems, CISS 2010
Y2 - 17 March 2010 through 19 March 2010
ER -