A Novel Beam Domain Channel Model for B5G Massive MIMO Wireless Communication Systems

被引:5
|
作者
Lai, Fan [1 ,2 ]
Wang, Cheng-Xiang [1 ,2 ]
Huang, Jie [1 ,2 ]
Gao, Xiqi [1 ,2 ]
Zheng, Fu-Chun [3 ,4 ]
机构
[1] Southeast Univ, Sch Informat Sci & Engn, Natl Mobile Commun Res Lab, Nanjing 210096, Peoples R China
[2] Purple Mt Labs, Nanjing 211111, Peoples R China
[3] Harbin Inst Technol Shenzhen, Sch Elect & Informat Engn, Shenzhen 518055, Peoples R China
[4] Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 210096, Peoples R China
基金
中国国家自然科学基金; 欧盟地平线“2020”; 国家重点研发计划;
关键词
Channel models; Massive MIMO; Computational modeling; MIMO communication; Antenna arrays; Antennas; Analytical models; B5G; beam domain channel model; GBSM; massive MIMO; statistical properties; PARAMETER-ESTIMATION; ALGORITHM; BDMA;
D O I
10.1109/TVT.2022.3222771
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, a novel beam domain channel model (BDCM) is proposed for beyond fifth generation (B5G) massive multiple-input multiple-output (MIMO) wireless communication systems. Different from conventional massive MIMO BDCMs which assumed the far-field plane wavefront effect, the proposed BDCM considers more realistic spherical wavefront caused by near-field effect. We transform a massive MIMO geometry-based stochastic model (GBSM) from the antenna domain to the beam domain through specific algorithms to obtain the novel BDCM. The space-time-frequency correlations of both the GBSM and BDCM are studied, and the correlations for both models at the cluster level are similar. We also compare the quasi-stationary distance (QSD), computational complexity, and channel capacity for both models. Results show that in comparison to the GBSM, the novel BDCM has lower complexity and similar accuracy if the number of beams is sufficiently large. Furthermore, we compare the singular value spreads (SVSs) of both channel models with channel measurements under the same conditions. Both the novel BDCM and GBSM are close to the measurement. Through the above analysis, the novel BDCM is proved to be more convenient for information theory and signal processing researches than the conventional GBSMs.
引用
收藏
页码:4143 / 4156
页数:14
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