摘要
在可见光通信多输入多输出系统中,针对天线选择理论建模不足和穷举算法复杂度过高的问题,提出了基于亚模函数的天线选择方案。首先,以下行链路的信道容量最大化为目标,建立了基于亚模函数的天线选择理论优化模型,并证明了目标函数满足的单调亚模性。其次,根据亚模函数的收益递减效应,设计了基于容量最大化的天线选择算法。最后,仿真分析了非对称限幅光正交频分复用(Asymmetrically Clipped Optical Orthogonal Frequency Division Multiplexing,ACO-OFDM)和直流偏置光OFDM(DC-biased Optical OFDM,DCO-OFDM)系统的信道容量和误码率性能。在6选4的情况下,当信噪比为30 dB时,所提算法与穷举最优算法的信道容量差异仅为0.51 b/s/Hz和1.2 b/s/Hz,复杂度则降低了约46.3%。另外,随着选择天线数的增多和调制阶数的增大,系统的误码率性能逐渐变差。
In the visible light communication multiple-input multiple-output system,an antenna selection scheme based on submodular function is proposed to address the problems of insufficient theoretical modeling of antenna selection and high complexity of the exhaustive algorithm.Firstly,the theoretical optimization model of antenna selection based on submodular function is established with the objective of maximizing the channel capacity of the downlink,and the monotonic submodularity satisfied by the objective function is proved.Secondly,the antenna selection algorithm based on capacity maximization is also designed based on the diminishing returns effect of the submodular function.Finally,the channel capacity and bit error rate(BER)performance of asymmetrically clipped optical orthogonal frequency division multiplexing(ACO-OFDM)and DC-biased optical OFDM(DCO-OFDM)systems is analyzed through simulation.In the case of 6-select-4,when the signal-to-noise ratio is 30 dB,the difference in channel capacity between the proposed algorithm and the exhaustive optimal algorithm is only 0.51 b/s/Hz and 1.2 b/s/Hz,while the complexity is reduced by about 46.3%.In addition,the BER performance of the system gradually deteriorates with the increase of the number of selected antennas and the modulation order.
作者
贾科军
贺耀民
张芳芳
蔺莹
薛建彬
郝莉
JIA Kejun;HE Yaomin;ZHANG Fangfang;LIN Ying;XUE Jianbin;HAO Li(School of Computer and Communication,Lanzhou University of Technology,Lanzhou 730050,China;School of Information Science and Technology,Southwest Jiaotong University,Chengdu 610031,China)
出处
《电讯技术》
北大核心
2025年第3期445-453,共9页
Telecommunication Engineering
基金
国家自然科学基金资助项目(61875080)
甘肃省科技计划项目(22JR5RA276,22JR5RA274,23YFGA0062,2022A-215)
兰州理工大学博士科研启动经费项目(061903)。
