Distributed Power Control Subject to Channel and Interference Estimation Errors

Perfect estimation of receiver interference power is a fundamental assumption in most distributed power control algorithms. Newer techniques in managing interference through transmit power control rely on local observations of channel information where the obtained information is assumed to be error-free. In this paper, we investigate the performance degradation in distributed power control algorithms due to estimation errors. We present some bounds on the resulted transmit power and signal to interference and noise ratio (SINR) errors due to imperfect estimations. Specifically, we find that for interference-limited scenarios, there is a potential SINR loss of up to 3-dB even for tiny errors in channel state information.