不完全CSI下多中继网络的能效研究
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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

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TN925

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Research of energy efficiency in multi-relay network with imperfect CSI
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1. College of Information Sciences and Technology, Donghua University, Shanghai 201620, China; 2. Engineering Research Center of Digitized Textile & Apparel Technology, Ministry of Education, Donghua University, Shanghai 201620, China

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    摘要:

    为优化不完全信道状态下的双跳放大转发协作多中继网络的能效,提出了一种将基于该网络模型的中继选择方案和传输速率、传输总功率联合优化方案结合的策略。具体来说,在不完全信道状态下的双跳放大转发协作多中继网络中,首先设计一种基于中继位置的中继选择方法以选择最优中继。接着在进行传输速率与传输总功率联合优化时,结合经典的0-1分数规划问题求解算法——丁克尔巴赫方法(Dinkelbach Method),设计了不完全信道状态下以最小功率传输数据时的速率选择算法。仿真结果表明,本文提出的方案使得该网络存在最优中继以最小传输总功率和最优传输速率进行数据传输。此外,与随机中继等功率分配方法相比,该策略能够获提高近22%的能量效率。

    Abstract:

    In order to optimize the energy efficiency spectrum of the double-hop amplification and forwarding cooperative multi-relay network under the incomplete channel state, a strategy of combining the relay selection scheme based on the network model with the joint optimization scheme of transmission rate and total transmission power is proposed. Specifically, in a two-hop amplifying and forwarding cooperative multi-relay network under an incomplete channel state, a relay selection method based on relay location is first designed to select the optimal relay. Then, when power optimization, combined with the classic 0-1 fractional programming problem solving algorithm-Dinkelbach method, design the rate selection algorithm when transmitting data with the minimum power in the incomplete channel state. The simulation results show that in the double-hop amplification and forwarding cooperative multi-relay network with channel estimation errors, the scheme proposed in this paper enables the network to have an optimal transmission rate. In addition, compared with the method of random relay and equal power allocation, this strategy can improve energy efficiency by nearly 22%.

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张秀琼,仇润鹤.不完全CSI下多中继网络的能效研究[J].电子测量技术,2021,44(23):131-138

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  • 在线发布日期: 2024-07-02
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