Energy-Efficient Power Control in Cell-Free and User-Centric Massive MIMO at Millimeter Wave

• Published in: IEEE transactions on green communications and networking Vol. 3; no. 3; pp. 651 - 663
• Main Authors: Alonzo, Mario, Buzzi, Stefano, Zappone, Alessio, D'Elia, Ciro
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.09.2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: 5G mobile communication; Antenna arrays; Array signal processing; Beamforming; Cell-free massive MIMO; Channel estimation; Computer Science; Data transmission; Downlink; Energy efficiency; millimeter wave; Millimeter waves; MIMO (control systems); MIMO communication; Power control; Power efficiency; Power management; Stations; sum-rate; Uplink; user-centric approach; wireless networks
• ISSN: 2473-2400; 2473-2400
• DOI: 10.1109/TGCN.2019.2908228

In a cell-free massive MIMO architecture a very large number of distributed access points simultaneously and jointly serves a much smaller number of mobile stations; a variant of the cell-free technique is the user-centric approach, wherein each access point just serves a reduced set of mobile stations. This paper introduces and analyzes the cell-free and user-centric architectures at millimeter wave frequencies, considering a training-based channel estimation phase, and the downlink and uplink data transmission phases. First of all, a multiuser clustered millimeter wave channel model is introduced in order to account for the correlation among the channels of nearby users; second, an uplink multiuser channel estimation scheme is described along with low-complexity hybrid analog/digital beamforming architectures. Third, the non-convex problem of power allocation for downlink global energy efficiency maximization is addressed. Interestingly, in the proposed schemes no channel estimation is needed at the mobile stations, and the beamforming schemes used at the mobile stations are channel-independent and have a very simple structure. Numerical results show the benefits granted by the power control procedure, that the considered architectures are effective, and permit assessing the loss incurred by the use of the hybrid beamformers and by the channel estimation errors.