QoS Constrained Pilot Allocation Scheme for Massive MIMO Systems

• Published in: IEEE transactions on vehicular technology Vol. 69; no. 5; pp. 5661 - 5665
• Main Authors: Qi, Chenhao, Sun, Xuyao, Deng, Yansha, Nallanathan, Arumugam
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.05.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Channel estimation; Computer simulation; Constraints; Contamination; Greedy algorithms; Interference; massive MIMO; MIMO (control systems); MIMO communication; Optimization; pilot allocation; Quality control; Quality of service; quality of service (QoS); Resource management; Uplink
• ISSN: 0018-9545; 1939-9359
• DOI: 10.1109/TVT.2020.2980082

Different from the existing works, in this paper we investigate the pilot allocation in multi-cell massive multiple-input multiple-output (MIMO) systems, aiming to maximize the spectral efficiency (SE) subject to the constraint that the number of user equipments (UEs) satisfying the quality of service (QoS) is maximized. Since the considered bilevel optimization problem that is tough to handle, we resort to the greedy algorithms with low computational complexity. We propose a QoS constrained (QC) pilot allocation scheme, which sequentially allocates the pilot sequence having large interference power to the UE with small signal power so that the number of UEs satisfying QoS can be maximized and then the SE can also be maximized. Simulation results show that the propose QC scheme outperforms the conventional scheme and smart pilot allocation (SPA) scheme.