论文标题
旨在最大化多跳网络中的总和结果的联合继电器选择和功率控制
Joint Relay Selection and Power Control that aims to Maximize Sum-Rate in Multi-Hop Networks
论文作者
论文摘要
为了关注关节继电器选择和功率控制问题，以最大程度地提高总和率，我们提出了一种新型的次级优势算法，该算法在中继选择和功率控制之间进行迭代。继电器选择是通过最大化最小信噪比 - 加上噪声比例（而不是最大化总和率）来执行的，并且使用连续的凸近似值执行功率控制。通过通过广泛的模拟将所提出的算法与现有溶液进行比较，我们表明所提出的算法会带来显着的总和率增长。最后，我们分析了两用户的多跳网络，并表明使用二进制电源分配至少可以找到两个传输节点的最佳发射功率。
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.
