Optimal Power Control and Load Balancing for Uplink Cell-Free Multi-User Massive MIMO

In this paper, we consider the problem of power control and load balancing in the uplink of the cell-free (CF) multi-user (MU) massive multiple-input multiple-output system. The power control problem is solved using three different criteria: 1) power minimization; 2) maximize min quality of service...

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Bibliographic Details
Published in:IEEE access 2018-01, Vol.6, p.14462-14473
Main Authors: Nguyen, Tien Hoa, Nguyen, The Khai, Han, Huy Dung, Nguyen, Van Duc
Format: Article
Language:English
Subjects:
Algorithms
Antennas
Energy conversion efficiency
Interference
Linear receivers
Load balancing
Load management
Massive MIMO
Maximization
MIMO (control systems)
MIMO communication
Optimization
Polynomials
power allocation
Power consumption
Power control
Quality of service
Receivers
Signal to noise ratio
Systems analysis
Uplink
user association
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Summary:In this paper, we consider the problem of power control and load balancing in the uplink of the cell-free (CF) multi-user (MU) massive multiple-input multiple-output system. The power control problem is solved using three different criteria: 1) power minimization; 2) maximize min quality of service (QoS); and 3) maximize sum spectral efficiency (SE) under imperfect channel state information. While power minimization and min-QoS maximization problems can be solved in polynomial time, sum SE maximization is NP-hard. Hence, we apply a successive approach to convert it into a geometric program and achieve near optimum solution. As the number of connections in CF-MU system is large, we minimize the number of base stations (BSs) serving each user while maintaining the optimized power consumption and QoS from the previous stage. We propose an iterative elimination (IE) algorithm to remove ineffective BSs for each user. The system analysis is performed under two common BS receivers: maximum ratio combining and zero forcing. The simulation shows that our method is better than both maximum signal-to-noise ratio association and full-set joint transmission, especially in the high QoS regime. Another notable result is that the selection of the linear receiver becomes more influential than the association method.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2018.2797874