Interference Avoidance With Limited Feedback

Interference avoidance (IA) is an adaptive modulation technique by which transmitters in a wireless communication system are optimized using feedback from the receiver in order to minimize interference and better suit the environment in which they operate. In this paper we study IA algorithms in the context of limited feedback and evaluate system performance as a function with which the interference information is quantized for transmission over the feedback channel. Numerical results obtained from extensive simulations indicate that non-uniform scalar quantization requiring as little as 2 bits per scalar value for encoding imply performance very close to that when no quantization is applied.