Abstract-We minimize average transmit power with finite-rate feedback for coherent communications in a wireless sensor network (WSN), where sensors communicate with a fusion center using adaptive modulation and coding over a wireless fading channel. By viewing the coherent WSN setup as a distributed space-time multiple-input single-output (MISO) system, we present optimal distributed beamforming and resource allocation strategies when the full (F-) channel state information at the transmitters (CSIT) is available through a feedback channel. We also develop optimal adaptive transmission policies and design optimal quantizers for the finite-rate feedback case where the sensors only have quantized (Q-) CSIT, or, each sensor has F-CSIT of its own link with the FC but only Q-CSIT of other sensors. Numerical results confirm that our novel finite-rate feedback-based strategies achieve near-optimal power savings based on even a small number of feedback bits. Index Terms-Multiple-input single-output (MISO) systems, nonlinear optimization, power efficiency, quantization, resource allocation, wireless sensor networks (WSNs).
In REF , a coherent beamforming scheme was designed for multiple-input-single-output (MISO) communications with finite-rate feedback to minimize the transmit power.
Minimizing Transmit Power for Coherent Communications in Wireless Sensor Networks With Finite-Rate Feedback
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Computer Science Mathematics