| 毫米波通信低复杂度波束选择和用户调度算法 |
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| 引用本文： | 徐华正,余金澳,朱诗兵.毫米波通信低复杂度波束选择和用户调度算法[J].信号处理,2019,35(11):1851-1860. |
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| 作者姓名： | 徐华正 余金澳 朱诗兵 |
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| 作者单位： | 航天工程大学研究生院 |
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| 摘 要： | 针对毫米波混合波束成形系统中用户调度方案复杂度过高的问题,提出两种低复杂度的波束选择和用户调度联合优化算法。混合波束成形架构使得用户调度问题面临着新的挑战,变成了模拟波束选择和用户调度的联合优化问题。考虑发送端无法获得完美信道状态信息的实用场景,采用基于固定码本的波束训练方案获取等效信道状态信息,引入调用指示函数将联合优化问题建模成非凸组合优化规划,分别以粒子群优化和贪婪算法为核心,提出两种低复杂度的次优解决方法。仿真结果表明,相较穷举搜索,所提算法能在性能和复杂度之间取得很好的折中。
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| 关 键 词： | 毫米波通信 混合波束成形 波束选择 用户调度 非凸组合优化 |
| 收稿时间： | 2019-04-18 |
Low-complexity beam selection and user scheduling algorithm for millimeter-wave communication |
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| Affiliation: | Graduate School, Space Engineering University |
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| Abstract: | Aiming at the problem of high complexity of user scheduling scheme in millimeter-wave hybrid beamforming(HBF)system, two low-complexity beam selection and user scheduling joint optimization algorithms are proposed. The hybrid architecture makes user scheduling face new challenges and becomes a joint optimization of analog beam selection and user scheduling. This paper considers the practical scenario that the transmitter can not obtain perfect channel state information(CSI), the beam training based on fixed codebook is used to obtain equivalent CSI, scheduling indicator function is introduced and the joint optimization problem is modeled into non-convex combination program. Therefore, we propose two sub-optimal solutions with low complexity, which are based on particle swarm optimization(PSO)and greedy algorithm. The simulation results show that proposed algorithms can make a good compromise between performance and complexity, compared with the exhaustive searching(ES). |
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