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International Journal of Sensors, Wireless Communications and Control


ISSN (Print): 2210-3279
ISSN (Online): 2210-3287

Research Article

Capacity Maximization in Cell Free Massive MIMO Network with Access Point Selection Method

Author(s): Tasher Ali Sheikh*, Settyvari Deekshitha, Neerugatti Shalini, Puliyalam Indira, Subramaniam Rajasekaran and Janmoni Borah

Volume 12, Issue 9, 2022

Published on: 03 January, 2023

Page: [661 - 668] Pages: 8

DOI: 10.2174/2210327913666221222145957

Price: $65


Background: Cell Free massive MIMO, containing a very large number of distributed access points (APs), which is a promising technology to provide high data rate, spectral efficiency (SE), and energy efficiency (EE). The system performance of cell-free M-MIMO is maximum when selecting optimal access points (AP) from the large number of APs. The linear precoding methods of zeroforcing (ZF) and minimum mean square error (MMSE) are utilized in this study because they are devoid of self-interference and so improve the system capacity.

Objective: The objective of this study is to maximize the system data rate in a cell-free M-MIMO network.

Methods: To maximize the system data rate, the maximum channel gain-based Access Point Selection (MCGAPS), Distance based Access Point Selection (DAPS), and Random-Access Point Selection (RAPS) algorithms are used to pick access points (APs) in a cell-free M-MIMO network. Because the MCGAPS algorithm selects those APs with the highest channel gain, the system’s rate is improved.

Results & Discussion: The DAPS algorithm is used to choose the closest APs to the user. The APs were randomly chosen using RAPS. Random user selection (RUS) algorithm schedules the same number of users.

Conclusion: It is observed that the DAPS and RUS algorithms jointly improve the system rate significantly in cell-free massive MIMO system compared to the other proposed algorithms.

Keywords: Cell free MIMO, APs, capacity maximization, MIMO, DAPS, time division duplex.

Graphical Abstract
Marzetta TL. Noncooperative cellular wireless with unlimited numbers of base station antennas. IEEE Trans Wirel Commun 2010; 9(11): 3590-600.
Nayebi E, Ashikhmin A, Marzetta TL, Yang H. Cell-free massive MIMO systems 49th Asilomar Conference on Signals, Systems and Computers. 2015 Nov 08-11; Pecific Grove, CA, USA. IEEE. 2016; pp. 2016; pp. 695-9.
Ravi M, Sheikh TA, Bulo Y. Energy efficiency and resource allocation optimization with mimo-noma and backhaul beam-forming in user centric ultra dense networks. Int J Sensors Wirel Commun Control 2022; 12(7): 510-20.
Ammar HA, Adve R, Shahbazpanahi S, Boudreau G, Srinivas KV. User-centric cell-free massive MIMO networks: A survey of opportunities, challenges and solutions. IEEE Commun Surv Tutor 2021.
Attarifar M, Abbasfar A, Lozano A. Modified conjugate beamforming for cell-free massive MIMO. IEEE Wirel Commun Lett 2019; 8(2): 616-9.
Izadi A, Razavizadeh SM, Saatlou O. Power allocation for downlink training in cell-free massive MIMO networks 10th International Symposium on Telecommunications (IST). 2020 Dec 15-17; Tehran, Iran IEEE. 2021; pp. 111-5.

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