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速率最大化可见光多用户预编码及图书馆应用

Rate Maximization Precoding Design for VLC Multi-user System and Its Application in Library
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摘要 近年来,可见光通信(Visible-Light Communication, VLC)因其契合高能源效率、高可靠性和空天地海一体化泛在接入等多个关键维度而被认为是未来6G关键技术之一。在可见光多用户多接收机下行同时接入过程中,受光信道相关性和多用户干扰影响,子信道增益差异较大,较差子信道会严重影响系统性能。针对此问题,考虑强度调制/直接检测的可见光信道模型,在发送信号非负与总功率受限条件下,提出了系统可达和速率最大化的块对角化(Block Diagonalization, BD)多用户预编码算法,给出了速率最大化的子信道功率分配解析表达式,进一步基于子空间追踪对预编码矩阵进行了迭代优化,并进行了实测和示范应用。实验结果表明,系统和速率与基础算法相比有明显提升。 In recent years,Visible-Light Communication(VLC)has been recognized as one of the key technologies for future 6G due to its compatibility with several key dimensions such as high energy efficiency,high reliability,and ubiquitous access for space-air-ground-sea integration.In VLC multi-user multi-receiver downlink concurrent access process,due to the influence of the channel correlation and multi-user interference,the sub-channel gains after precoding are very different,and the poor sub-channel seriously affects the system performance.To solve this problem,considering the visible light channel model of intensity modulation/direct detection,a system achievable sum rate maximization precoding design based on Block Diagonalization(BD)algorithm for VLC multi-user system is proposed under the constraint of non-negative of the transmitted signal and the total power,the analytical expression of power allocation for sub-channels to maximize rate is also provided,and the precoding matrix is iteratively optimized based on the subspace traces and the test is applied.Experimental results show that the sum rate of the proposed system is significantly improved compared to the basic algorithm.
作者 刘晓叶 LIU Xiaoye(Library of Zhengzhou University,Zhengzhou 450001,China;Advanced Mobile Communication and Application Engineering Research Center of Henan Province,Zhengzhou University,Zhengzhou 450001,China)
出处 《无线电工程》 2024年第3期535-542,共8页 Radio Engineering
基金 国家重点研发计划资助(2019QY0302) 国家自然科学基金(61640003) 河南省重点研发与推广专项项目(232102211067)。
关键词 可见光通信 多用户干扰 预编码 可达和速率 VLC multi-user interference precoding achievable sum rate
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