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pro vyhledávání: '"Imran Ali Khoso"'
Publikováno v:
Algorithms, Vol 17, Iss 10, p 463 (2024)
Massive MIMO technology is recognized as a key enabler for beyond 5G (B5G) and next-generation wireless networks. By utilizing large-scale antenna arrays at the base station (BS), it significantly improves both system capacity and energy efficiency.
Externí odkaz:
https://doaj.org/article/e86dd015c98c41f69be8c7efa2f16fa9
Publikováno v:
IEEE Access, Vol 7, Pp 39341-39351 (2019)
Achieving high spectral efficiency in realistic massive multiple-input multiple-output (M-MIMO) systems entail a significant increase in implementation complexity, especially with respect to data detection. Linear minimum mean-squared error (LMMSE) c
Autor:
Xiyuan Wang, Imran Ali Khoso, Talha Bin Javed, Hua Li, Shanshan Tu, Yuanyuan Dong, Xiaoming Dai
Publikováno v:
WOCC
Minimum mean squared error (MMSE) detector achieves near-optimal error rate performance for massive multiple-input multiple-output (M-MIMO) systems but involves large-scale matrix inversion operations with high complexity. Therefore, several approxim
Publikováno v:
WOCC
5G (Fifth generation) is comparatively more advanced telecommunication technology in cellular networks that has higher speed and wide range. 5G technology will be implemented in 2020, which could provide 100 times faster speed rate than the already e