Precoder Adaptation and Power Control in Wireless Ad-Hoc Networks for Rate Maximization

In this paper we present an algorithm to perform precoder adaptation and power control for rate maximization problem in ad-hoc networks where individual transmitter receiver pairs communicate in interference channel scenario. We maximize links' achievable rates subject to average power and spectral mask constraints. With the usage of spectral mask constraints, the proposed algorithm can be directly applied to cognitive radio systems where unlicensed secondary users can get opportunistic channel access without creating harmful interference to licensed primary users. This help improve the spectrum utilization where the idle bands can be accessed dynamically and opportunistically with the help of the spectral masks. We have analyzed the algorithm in three different cases: high, ideal, and low cross-channel gains. To scale up achievable rate/capacity with network size the distance between source and destination nodes must remain small as the network grows. Alternatively, the distance from interfering transmitter to intended receiver should be large so that the cross-channel gains would be low. The proposed algorithm is illustrated with the help of simulation results.