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Abstract: In distributed wireless networks, nodes often do not know the topologynetwork size, connectivity and the channel gains of the network. Thus, theyhave to compute their transmission and reception parameters in a distributedfashion. In this paper, we consider that each of the transmitter know thechannel gains of all the links that are at-most two-hop distant from it and thereceiver knows the channel gains of all the links that are three-hop distantfrom it in a deterministic interference channel. With this limited information,we find a condition on the network connectivity for which there exist adistributed strategy that can be chosen by the users with partial informationabout the network state, which achieves the same sum capacity as thatachievable by the centralized server that knows all the channel gains.Specifically, distributed decisions are sum-rate optimal only if each connectedcomponent is in a one-to-many configuration or a fully-connected configuration.In all other cases of network connectivity, the loss can be arbitrarily large.



Autor: Vaneet Aggarwal, Salman Avestimehr, Ashutosh Sabharwal

Fuente: https://arxiv.org/







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