In this paper, we suggest a distributed relay selection (DRS) technique for cooperative systems with energy harvesting. Relay nodes harvest energy from radio frequency (RF) signal received from the source. Each relay is allowed to transmit only when its signal-to-noise ratio (SNR) is greater than a predefined threshold $$\varGamma _{\mathrm{th}}$$ . The SNR threshold $$\varGamma _{\mathrm{th}}$$ and harvesting duration are optimized to maximize the throughput. The throughput of DRS is compared to best relay selection (BRS) as well as Random relay selection (RRS) that does not use the SNR in the relay selection process. We derive the throughput at the packet level of DRS, BRS and RRS. The proposed DRS does not require any signalization to activate the relay. Our theoretical derivations are confirmed with computer simulations for Nakagami fading channels.

中文翻译：

---

存在 Nakagami 和 Rayleigh 衰落信道的能量收集系统的分布式中继选择

在本文中，我们为具有能量收集的协作系统建议了一种分布式中继选择 (DRS) 技术。中继节点从从源接收的射频 (RF) 信号中收集能量。每个中继仅在其信噪比 (SNR) 大于预定义阈值 $$\varGamma _{\mathrm{th}}$$ 时才允许传输。SNR 阈值 $$\varGamma _{\mathrm{th}}$$ 和采集持续时间经过优化以最大化吞吐量。将 DRS 的吞吐量与最佳中继选择 (BRS) 以及在中继选择过程中不使用 SNR 的随机中继选择 (RRS) 进行比较。我们推导出 DRS、BRS 和 RRS 的数据包级别的吞吐量。提议的 DRS 不需要任何信号来激活中继。