2019
DOI: 10.1049/joe.2018.5015
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Efficient and low‐complexity matrix inversion scheme for massive multiple‐input multiple‐output systems using rapid numerical algorithms

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Cited by 2 publications
(1 citation statement)
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References 35 publications
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“…RNA precoding will have relatively the same complexity as TPE precoding at the specified hardware implementation while giving a better performance. This means that the increase in hardware to improve the performance of TPE precoder will suffice the RNA precoder to reduce its complexity and come as close to the complexity of the TPE precoder but with a better performance in terms of throughput [9, 10, 24]. Using the notation of [18], the RNA precoding matrix used by the BS in the j th cell isωj RNA = ϑj = 1 L k = 1 K h ^ , j , k bold-italich false^ , j , k H + Z j 1 h ^ j , j , k where Z = k = 1 K )( boldΦ k bold-italicR k + false( 1 / ρ tr false) bold-italicI M and the scalar ϑj > 0 is carefully chosen to satisfy the power constraint in the cell.…”
Section: Multi‐cell Linear Precodingmentioning
confidence: 99%
“…RNA precoding will have relatively the same complexity as TPE precoding at the specified hardware implementation while giving a better performance. This means that the increase in hardware to improve the performance of TPE precoder will suffice the RNA precoder to reduce its complexity and come as close to the complexity of the TPE precoder but with a better performance in terms of throughput [9, 10, 24]. Using the notation of [18], the RNA precoding matrix used by the BS in the j th cell isωj RNA = ϑj = 1 L k = 1 K h ^ , j , k bold-italich false^ , j , k H + Z j 1 h ^ j , j , k where Z = k = 1 K )( boldΦ k bold-italicR k + false( 1 / ρ tr false) bold-italicI M and the scalar ϑj > 0 is carefully chosen to satisfy the power constraint in the cell.…”
Section: Multi‐cell Linear Precodingmentioning
confidence: 99%