Throughput enhancement of cognitive radio networks‐nonorthogonal multiple access with energy harvesting and adaptive transmit power,Transactions on Emerging Telecommunications Technologies

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Throughput enhancement of cognitive radio networks‐nonorthogonal multiple access with energy harvesting and adaptive transmit power
Transactions on Emerging Telecommunications Technologies ( IF 2.5 ) Pub Date : 2020-05-07 , DOI: 10.1002/ett.3980
Raed Alhamad ₁ , Hatem Boujemaa ₂

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In this article, we derive the theoretical throughput of cognitive radio networks using nonorthogonal multiple access with energy harvesting nodes. We also optimize both power allocation coefficients and harvesting duration to maximize the throughput. In the primary network, there are a primary source and a primary destination. The secondary network contains a secondary source, K relays R_k, and N nonorthogonal multiple access users D_i. Secondary source and relays harvest energy from radio frequency signals received from node A. Secondary nodes adapt their powers to generate low interference at primary destination. We also suggest two strategies for user classification using average or instantaneous channel gains while taking into account the interference from primary source. We show that users' ranking using instantaneous channel gains offers the largest throughput. In addition, the suggested optimal power allocation and optimal harvesting duration allow to increase the throughput. Our theoretical derivations are also compared with computer simulations performed in the presence of Rayleigh fadingchannels.

中文翻译：

通过能量收集和自适应发射功率增强认知无线电网络的吞吐量-非正交多路访问

在本文中，我们使用具有能量收集节点的非正交多路访问来推导认知无线电网络的理论吞吐量。我们还优化了功率分配系数和收获持续时间，以最大化吞吐量。在主要网络中，存在主要来源和主要目的地。辅助网络包含一个辅助源，K个中继R _k和N个非正交多址用户D _i。辅助源和中继站从节点A接收的射频信号中收集能量。辅助节点调整其功率以在主要目的地产生低干扰。我们还建议了两种使用平均或瞬时信道增益进行用户分类的策略，同时考虑了主要来源的干扰。我们显示，使用瞬时信道增益对用户进行排名可以提供最大的吞吐量。另外，建议的最佳功率分配和最佳收获持续时间可以增加吞吐量。我们的理论推导也与存在瑞利衰落信道的计算机仿真进行了比较。

更新日期：2020-05-07

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