Power Allocation Method Based on Overlapping Visibility Region in Extra Large Scale MIMO System

ZHANG Jun; LU Jiacheng; LIU Tongshun; ZHANG Qi; CAI Shu

doi:10.11999/JEIT221468

Volume 45 Issue 12

Dec. 2023

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Article Navigation > Journal of Electronics & Information Technology > 2023 > 45(12): 4262-4270

ZHANG Jun, LU Jiacheng, LIU Tongshun, ZHANG Qi, CAI Shu. Power Allocation Method Based on Overlapping Visibility Region in Extra Large Scale MIMO System[J]. Journal of Electronics & Information Technology, 2023, 45(12): 4262-4270. doi: 10.11999/JEIT221468

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ZHANG Jun, LU Jiacheng, LIU Tongshun, ZHANG Qi, CAI Shu. Power Allocation Method Based on Overlapping Visibility Region in Extra Large Scale MIMO System[J]. Journal of Electronics & Information Technology, 2023, 45(12): 4262-4270. doi: 10.11999/JEIT221468

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Power Allocation Method Based on Overlapping Visibility Region in Extra Large Scale MIMO System

doi: 10.11999/JEIT221468 cstr: 32379.14.JEIT221468

College of Telecommunication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China

Funds: The National Natural Science Foundation of China (62071247, 62171231, 62071249)

Received Date: 2022-11-23
Rev Recd Date: 2023-04-21

Available Online: 2023-04-27

Publish Date: 2023-12-26

Abstract

Abstract

In an extra large scale Multiple-Input Multiple-Output(MIMO) system where the Visibility Regions(VR) of different users are overlapping, the ergodic sum-rate is maximized by designing power allocation. Specifically, one base station equipped with an extra large scale array serves multiple users equipped with single-antenna, and their VRs are overlapped with adjacent users’. To reduce the inter-users interference and precoding complexity, the base station array is divided into several subarrays by the VR distributions, and then the regularized zero forcing precoding is employed for different subarray respectively. Furthermore, by exploiting the statistical channel state information, an approximation of the ergodic sum-rate is derived based on the large-dimensional random matrix theory. Based on the approximations, an optimal power allocation solution for different users is given in closed-form. Simulations illustrate that the proposed approximation fits the ergodic results well, and the proposed power allocation method can effectively improve system performances.

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References(14)

References

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