ABSTRACT:
Many next generation applications (such as video flows)
are likely to have associated minimum data rate requirements in order to ensure
satisfactory quality as perceived by end-users. In this paper, we develop a
framework to address the problem of maximizing the aggregate utility of traffic
flows in a multi-hop wireless network, with constraints imposed both due to
self-interference and minimum rate requirements. The parameters that are tuned
in order to maximize the utility are (i) transmission powers of individual
nodes and (ii) the channels assigned to the different communication links. Our
framework is based on using across-decomposition technique that takes both inter-flow
interference and self-interference into account. The output of our framework is
a schedule that dictates what links are to be activated in each slot and the
parameters associated with each of those links. If the minimum rate constraint
cannot be satisfied for all of the flows, the framework intelligently rejects a
sub-set of the flows and recomputes a schedule for the remaining flows. We also
design an admission control module that determines if new flows can be admitted
without violating the rate requirements of the existing flows in the network.
We provide numerical results to demonstrate the efficacy of our framework.
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