Dynamic resource management for cognitive radios using limited-rate feedback
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Slow adaptive OFDMA systems through chance constrained programming
IEEE Transactions on Signal Processing
Optimizing average performance of OFDM systems using limited-rate feedback
IEEE Transactions on Wireless Communications
Adaptive resource allocation with strict delay constraints in OFDMA system
EURASIP Journal on Wireless Communications and Networking
Resource Allocation of Limited Feedback in Clustered Wireless Mesh Networks
Wireless Personal Communications: An International Journal
| Hi-index | 0.02 |
Emerging applications involving low-cost wireless sensor networks motivate well optimization of multi-user orthogonal frequency-division multiple access (OFDMA) in the power-limited regime. In this context, the present paper relies on limited-rate feedback (LRF) sent from the access point to terminals to minimize the total average transmit-power under individual average rate and error probability constraints. Along with the characterization of optimal bit, power and subcarrier allocation policies based on LRF, suboptimal yet simple schemes are developed for channel quantization. The novel algorithms proceed in two phases: (i) an off-line phase to construct the channel quantizer as well as the rate and power codebooks with moderate complexity; and (ii) an on-line phase to obtain, based on quantized channel state information, the optimum, rate, power and user-subcarrier allocation with linear complexity. Numerical examples corroborate the analytical claims and reveal that significant power savings result even with suboptimal schemes based on practically affordable LRF.