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解码转发全双工能量收集最大的多认知中继网络能效谱效权衡#br#
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毛志鹏1,2,仇润鹤1,2   

  1. 1.东华大学 信息科学与技术学院,上海 201620;
    2. 数字化纺织服装技术教育部工程研究中心,上海 201620


  • 收稿日期:2023-05-05 修回日期:2023-07-28 接受日期:2023-08-07 发布日期:2023-12-04 出版日期:2023-12-04
  • 通讯作者: 仇润鹤
  • 基金资助:
    上海市自然科学基金项目

Energy-spectrum efficiency trade-off for multi-cognitive relay network with decode-and-forward full-duplex maximum energy harvesting

  • Received:2023-05-05 Revised:2023-07-28 Accepted:2023-08-07 Online:2023-12-04 Published:2023-12-04

摘要: 在无线携能支持下的全双工多认知中继网络中,为了使得能效和谱效最大,选择能量收集最大的中继进行解码转发,以此形成一个能效谱效权衡最优化问题,采用变量变换和凹凸过程优化方法将该问题转换为凸优化问题。当权衡因子为0时,该优化问题等价于使得谱效最大的优化问题;当权衡因子为1时,该优化问题等价于使得系统消耗的能量最小问题。为了求解该优化问题,提出一种可以直接得到使得能效最大的权衡因子的改进算法,通过联合源节点发射功率和功率分割因子进行优化。所提算法分为两步,首先固定功率分割因子,求出使得能效最优的源节点发射功率和权衡因子;然后固定最优的源节点发射功率,利用能效谱效与功率分割因子之间的关系,求出最优的功率分割因子。通过仿真实验发现,能量收集最大的中继网络相较于剩余其他中继所组成的网络,在能效和谱效上都更优。能效和谱效方面,所提算法相较于其他方法更优,与只优化发射功率的方案相比,能效提高了63%以上,谱效提高了30%以上,与穷举法相差无几,大幅提高了能效和谱效,同时算法收敛速度较快。

关键词: 全双工, 认知中继, 能量收集, 能效谱效, 权衡因子

Abstract: In a full-duplex multi-cognitive relay network supported by simultaneous wireless information and power transfer, in order to maximize energy-spectrum efficiency, the relay with the largest energy harvesting was selected for decoding and forwarding, thus forming an energy-spectrum efficiency trade-off optimization problem. The problem was transformed into a convex optimization problem by variable transformation and concave-convex process optimization method. When the trade-off factor was 0, the optimization problem was equivalent to the optimization problem of maximizing the spectrum efficiency. When the trade-off factor was 1, the optimization problem was equivalent to the problem of minimizing the energy consumed by the system. In order to solve this optimization problem, an improved algorithm that could directly obtain the trade-off factor that maximizes energy efficiency was proposed, which was optimized by combining the source node transmit power and the power split factor. The proposed algorithm was divided into two steps. First, the power split factor was fixed, and the source node transmit power and trade-off factor that made the energy efficiency optimal were obtained. Then, the optimal source node transmit power was fixed, and the optimal power split factor was obtained by using the relationship between energy-spectrum efficiency and power split factor. Through simulation experiments, it is found that the relay network with the largest energy harvesting is better in energy efficiency-spectrum efficiency than the network composed of other relays. In terms of energy-spectrum efficiency, the proposed optimization algorithm is better than other methods. Compared with the scheme that only optimizes the transmit power, the energy efficiency has increased by more than 63%, and the spectrum efficiency has increased by more than 30%, which is almost the same as the exhaustive method, which greatly improves the energy-spectrum efficiency, and the algorithm converges is faster. 

Key words: full-duplex, cognitive relay, energy harvesting, energy-spectrum efficiency, trade-off factor

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