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International Journal of Sensors, Wireless Communications and Control

Author(s): Tasher Ali Sheikh*, Yannabhathala Rasagnya, Valipi Rajesh, Devarenti Salman Raju and Subramamiam Rajasekaran

DOI: 10.2174/2210327913666230314122645

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Power Minimization in Cell-Free Massive MIMO with AP Selection Algorithm

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Abstract

Background: The cell-free massive multiple input multiple outputs (CF M-MIMO) is the key and emerging technology for 5G and beyond, which gains more attention from many researchers and academicians. The cell-free M-MIMO enhances the system throughput, latency, spectral efficiency (SE), and energy efficiency (EE) of the communication network.

Objective: In this paper, we formulate a framework for joint access point selection (APS) and power control algorithm for improving the EE and at the same time maintaining the system capacity.

Methods: The max-min power control algorithm is used for efficient power allocation among the access points (APs) by using the minimum mean square error (MMSE), zero-forcing (ZF), and conjugate beam-forming (CB).

Results: We were successfully able to enhance and maintain the optimal system capacity of the cellfree M-MIMO systems.

Conclusion: The simulation result shows that the system capacity is improved when efficiently allocating the power with max-min power control algorithm.

Keywords: Cell free massive MIMO, user clustering, power control algorithm, access point selection, APs.

Graphical Abstract

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