Linear Precoding to Optimize Throughput, Power Consumption and Energy Efficiency in MIMO Wireless Sensor Networks

This paper considers joint precoder design to optimize throughput, power consumption and energy efficiency (EE) in the context of multi-antenna wireless sensor networks with coherent multiple access channels. To maximize throughput, both centralized and decentralized algorithms are developed. Our centralized algorithm obtains a new second order cone programming formulation of the problem, which is different from related works and can apply to more generic system setup compared to existing literature. In addition, noting the fact that all existing solutions in literature are centralized based, we propose a novel decentralized solution and analyses its convergence. Besides the throughput maximization, the power consumption and EE problems are also attacked. To optimize these two metrics, a decentralized algorithm based on dual-decomposition and block successive upper-bound method has been developed, which runs in parallel with semi-analytical solutions and has provable strong convergence. A sufficient condition for the validity of the decentralized method is obtained. Extensive numerical results are presented to consolidate our findings.