非线性能量收集认知无线电网络的次用户吞吐量最大化方案

doi:10.11959/j.issn.1000-0801.2023033

摘要/Abstract

摘要：

针对一对主用户和M对次用户构成的认知无线电网络（cognitive radio network，CRN），研究了非线性能量收集的认知无线电网络的次用户吞吐量最大化问题。具体来说，对于考虑次用户发射器（secondary transmitter，ST）电路功率的情况，首先将主用户吞吐量需求下的次用户吞吐量最大化（secondary throughput maximization，STM）问题建模为一个非线性优化问题，然后将它转化成凸优化问题，最后提出一种联合使用黄金分割和二分法的低复杂度算法，获得主用户发射器（primary transmitter，PT）能量传输和次用户信息传输的最优时间分配以及主用户发射器的最优发射功率。对于忽略次用户发射器电路功率的情况，首先证明次用户吞吐量最大化问题的凸特性，然后设计了一个更高效的算法来求解。仿真结果表明，相比等时间分配方案和链路增益优先级方案，提出的设计算法能显著提升次用户吞吐量。

关键词: 认知无线电网络, 非线性能量收集, 次用户吞吐量最大化, 低复杂度, 凸优化

Abstract:

Aiming at a cognitive radio network (CRN) consisting of a pair of primary users and M pairs of secondary users, the secondary throughput maximization for CRN based on the non-linear energy harvesting model was studied.Specifically, in the case of considering secondary transmitter (ST) circuit power, the secondary throughput maximization (STM) problem with primary users’ throughput demands was first modeled as a non-linear optimization problem and then transformed into a convex optimization problem.Finally, a low-complexity algorithm combining the golden section and dichotomy was proposed.By applying this low-complexity algorithm, the optimal time allocation of the primary transmitter (PT)’s energy transmission and secondary users’ information transmission, and the optimal transmission power of PT were obtained.In addition, for the case of neglecting the ST circuit power, the convex property of the STM problem was first proved, and then a more efficient algorithm was designed to solve it.The simulation results show that compared with the equal time allocation method and the link gain priority method, the proposed design algorithm significantly improves the throughput of secondary users.

Key words: cognitive radio network, non-linear energy harvesting, secondary throughput maximization, low-complexity, convex optimization

中图分类号:

TN929.5

葛海江, 贾宁, 池凯凯, 陈云志. 非线性能量收集认知无线电网络的次用户吞吐量最大化方案[J]. 电信科学, 2023, 39(2): 103-117.

Haijiang GE, Ning JIA, Kaikai CHI, Yunzhi CHEN. Secondary throughput maximization scheme for non-linear energy harvesting cognitive radio networks[J]. Telecommunications Science, 2023, 39(2): 103-117.

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