Article ; Online: Efficient Massive MIMO Detection for M-QAM Symbols
Entropy, Vol 25, Iss 391, p
2023 Volume 391
Abstract: Massive multiple-input multiple-output (MIMO) systems significantly outperform small-scale MIMO systems in terms of data rate, making them an enabling technology for next-generation wireless systems. However, the increased number of antennas increases ... ...
| Abstract | Massive multiple-input multiple-output (MIMO) systems significantly outperform small-scale MIMO systems in terms of data rate, making them an enabling technology for next-generation wireless systems. However, the increased number of antennas increases the computational difficulty of data detection, necessitating more efficient detection techniques. This paper presents a detector based on joint deregularized and box-constrained dichotomous coordinate descent (BOXDCD) with iterations for rectangular m-ary quadrature amplitude modulation (M-QAM) symbols. Deregularization maximized the energy of the solution. With the box-constraint, the deregularization forces the solution to be close to the rectangular boundary set. The numerical results demonstrate that the proposed detector achieves a considerable performance gain compared to existing detection algorithms. The performance advantage increases with the system size and signal-to-noise ratio. |
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| Keywords | box-constrained dichotomous coordinate descent ; massive MIMO ; negative diagonal loading regularization ; signal detection ; quadrature amplitude modulation ; Science ; Q ; Astrophysics ; QB460-466 ; Physics ; QC1-999 |
| Subject code | 003 |
| Language | English |
| Publishing date | 2023-02-01T00:00:00Z |
| Publisher | MDPI AG |
| Document type | Article ; Online |
| Database | BASE - Bielefeld Academic Search Engine (life sciences selection) |
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