Focusing on the joint relay selection and power control problem with a view to maximizing the sum-rate, we propose a novel sub-optimal algorithm that iterates between relay selection and power control. The relay selection is performed by maximizing the minimum signal-to-interference-plus-noise-ratio (as opposed to maximizing the sum-rate) and the power control is performed using a successive convex approximation. By comparing the proposed algorithm with existing solutions via extensive simulations, we show that the proposed algorithm results in significant sum-rate gains. Finally, we analyze the two-user multi-hop network and show that optimum transmit power of at least for two transmitting nodes can be found using binary power allocation.

翻译：针对以最大化系统总速率为目标的中继选择与功率控制联合优化问题，我们提出一种新颖的次优算法，该算法在中继选择与功率控制之间进行迭代优化。其中，中继选择通过最大化最小信干噪比（而非直接最大化总速率）实现，功率控制则采用连续凸近似方法完成。通过大量仿真将所提算法与现有方案对比，结果表明该算法能显著提升总速率。最后，我们分析了两用户多跳网络，并证明至少两个发射节点的最优传输功率可通过二进制功率分配方式确定。