Energy-Efficient Quantization and Resource Allocation for TDMA with Finite Rate Feedback
We deal with energy efficient time-division multiple access (TDMA) over fading channels with finite-rate feedback for use in the power-limited regime. Through finite-rate feedback from the access point, users acquire quantized channel state information. The goal is to map channel quantization states to adaptive modulation and coding modes and allocate optimally time slots to users so that the total average transmit-power is minimized. To this end, we develop a joint quantization and resource allocation approach, which decouples the complicated problem at hand into three minimization sub-problems and relies on a coordinate descent approach to iteratively effect energy efficiency. A sub-optimal yet simplified alternative algorithm which decouples the original problem into two sub-problems is also presented. Numerical results are presented to evaluate the energy savings and compare the novel approaches.