| 摘要: |
| 为解决高铁无线网络的通信干扰问题，提升高铁通信的吞吐量和能量效率，提出了一种基于博弈论的双目标优化干扰算法。首先，通过获取非理想信道的相应预编码矩阵和干扰抑制矩阵，计算包括延迟和衰落的非理想信道状态信息，实现干扰信号的空间对齐。其次，基于系统总功率、信干噪比，建立了功率分配双目标最佳博弈模型，实现吞吐量和能效的双重优化，并采用最大信噪比的干扰对齐算法，通过迭代计算实现干扰管理优化。最后，基于Matlab仿真平台与传统的干扰优化算法进行对比分析。实验结果表明，当信干噪比为30 dB、列车运行速度为300 km/h时，所提算法的吞吐量增加48.95%，能量效率增加53.02%，误码率减少14.37%；当信干噪比为30 dB、轨旁设备数量为5时，所提算法的吞吐量达到88.03%，能量效率达到71.58%；与其他算法相比，所提算法在系统吞吐量、能量效率和传输可靠性方面均具有显著优势。 |
| 关键词: 高铁无线网络 5G异构网络 多目标优化 干扰对齐 博弈论 |
| DOI： |
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| 基金项目:河北省省级科技计划资助(20314301D)；国网河北省电力有限公司科技项目(kj2020-064) |
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| A 5G heterogeneous network multi-objective optimization interference algorithm based on game theory |
| MA Tianxiang,JIA Boyan,FAN Wei,WANG Qiang,LI Chunhai |
| (1.State Grid Hebei Electric Power Research Institute,Shijiazhuang 050021,China;2.Baoding Power Supply Branch of State Grid Hebei Electric Power Co.,Ltd.,Baoding 071000,China;3.Shijiazhuang Kelin Electric Co.,Ltd.,Shijiazhuang 050222,China) |
| Abstract: |
| To solve the communication interference problem of a high-speed rail wireless network and improve the throughput and energy efficiency of high-speed rail communication,a double-objective optimization interference algorithm based on Game Theory is proposed.Firstly,the corresponding precoding matrix and interference suppression matrix of the non-ideal channel are obtained,and the non-ideal channel state information including delay and fading is calculated to realize the spatial alignment of the interference signal.Secondly,a dual-objective optimal game model for power allocation is established to achieve dual optimization of throughput and energy efficiency based on the total system power and signal-to-interference plus noise ratio(SINR).Meanwhile,the interference alignment algorithm with the maximum signal-to-noise ratio(SNR) is adopted,and interference management optimization is realized through iterative calculation.Finally,the proposed algorithm is compared with the traditional interference optimization algorithm and analyzed based on the Matlab simulation platform.The results show that when the SINR is 30 dB and the train speed is 300 km/h,the throughput of the proposed algorithm is increased by 48.95%,the energy efficiency is increased by 53.02%,and the bit error rate(BER) is reduced by 14.37%.When the SINR is 30 dB and the number of the trackside equipment is 5,the throughput of the proposed algorithm reaches 88.03%,and the energy efficiency reaches 71.58%.Compared with other algorithms,the proposed algorithm has advantages in system throughput,energy efficiency and transmission. |
| Key words: high-speed rail wireless network 5G heterogeneous network multi-objective optimization interference alignment game theory |
《电讯技术》编辑部 