论文标题
双向继电器网络中的电源分配
Power Allocation in Two-way Relaying Networks
论文作者
论文摘要
在本文中，我们在双向继电器网络中研究中继的选择和功率分配，该网络由源，目的地和多重双链解析（DF）继电器组成。有意地引入了具有三个时间子斑点的传输模型。在第一个子插曲中，选定的继电器应用时间切换方案来收获源和目的地辐射的射频能量。在其余的子插图中，选定的继电器有助于源和目的地交换信息。由于有限尺寸的数据缓冲区和有限大小的继电器电池，因此提出了最佳的继电器选择和功率分配策略，以最大程度地提高网络。一个障碍是基础汇总优化问题的固有非凸属性。通过小心地将乘法变量和放松的二进制变量分解为实数，我们将此问题转换为凸优化一个，然后使用Karush-Kuhn-Tucker（KKT）条件来解决它。已经进行了广泛的模拟，以通过我们提出的策略来证明改进的汇总。
In this paper, we study relay selection and power allocation in two-way relaying networks consisting of a source, a destination and multiply half-duplex decode-and-forward (DF) relays. A transmission model with three time subslots is purposely introduced. In the first subslot, selected relay applies time-switching protocol to harvest radio frequency energy radiated by source and destination; in the remaining subslots, selected relay facilitates source and destination to exchange information. Due to finite-size data buffer and finite-size battery of relay, an optimal relay selection and power allocation policy is proposed, in order to maximize networks sum-throughput. One obstacle is the inherent non-convex property of the underlying sum-throughput optimization problem. By carefully decoupling the multiplicative variables and relaxing binary variable to a real number, we convert this problem into a convex optimization one and then Karush-Kuhn-Tucker (KKT) conditions are used to solve it. Extensive simulations have been conducted to demonstrate the improved sum-throughput with our proposed strategy.
