Title:Capacity Maximization in Cell Free Massive MIMO Network with Access
Point Selection Method
Volume: 12
Issue: 9
Author(s): Tasher Ali Sheikh*, Settyvari Deekshitha, Neerugatti Shalini, Puliyalam Indira, Subramaniam Rajasekaran and Janmoni Borah
Affiliation:
- Department of Electronics and Telecommunication Engineering, Residential Girls’ Polytechnic, Golaghat, Assam-
785702, India
Keywords:
Cell free MIMO, APs, capacity maximization, MIMO, DAPS, time division duplex.
Abstract:
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.