Computer Science – Information Theory
Scientific paper
2011-07-10
Computer Science
Information Theory
Submitted to Forty-Ninth Annual Allerton Conference on Communication, Control, and Computing, Monticello, IL, USA
Scientific paper
We consider multi--hop networks comprising Binary Symmetric Channels ($\mathsf{BSC}$s). The network carries unicast flows for multiple users. The utility of the network is the sum of the utilities of the flows, where the utility of each flow is a concave function of its throughput. Given that the network capacity is shared by the flows, there is a contention for network resources like coding rate (at the physical layer), scheduling time (at the MAC layer), etc., among the flows. We propose a proportional fair transmission scheme that maximises the sum utility of flow throughputs subject to the rate and the scheduling constraints. This is achieved by {\em jointly optimising the packet coding rates of all the flows through the network}.
Chen Xiaomin
Karumbu Premkumar
Leith Douglas J.
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