Network MIMO With Linear Zero-Forcing Beamforming: Large System Analysis, Impact of Channel Estimation, and Reduced-Complexity Scheduling

• Published in: IEEE transactions on information theory Vol. 58; no. 5; pp. 2911 - 2934
• Main Authors: Hoon Huh, Tulino, A. M., Caire, G.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.05.2012; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Antennas; Applied sciences; Array signal processing; Base stations; Beamforming; Channel estimation; Channels; Clusters; Codes; Communication channels; Cooperation; Detection, estimation, filtering, equalization, prediction; Downlink; downlink scheduling; Exact sciences and technology; Feedback control systems; Information theory; Information, signal and communications theory; large random matrices; linear zero-forcing beamforming; Mathematical analysis; MIMO; Monte Carlo methods; network MIMO; Radiocommunications; Scheduling; Signal and communications theory; Signal, noise; Stations; Systems, networks and services of telecommunications; Telecommunications; Telecommunications and information theory; Terminals; Throughput; Transmission and modulation (techniques and equipments); Wireless networks; Performance evaluation; State feedback; Parameter estimation; Random matrix; Base station; Transmitter; Equity; Feedback regulation; Data transmission; Downlink; Transmission zero; Beam forming; Learning; linear zero-forcing beamforming; Channel estimation; System analysis; Uplink; Antenna; Large scale system; MIMO system; Scheduling; large random matrices; downlink scheduling; Signal processing; Transmission loss; network MIMO

We consider the downlink of a multicell system with multiantenna base stations and single-antenna user terminals, arbitrary base station cooperation clusters, distance-dependent propagation pathloss, and general "fairness" requirements. Base stations in the same cooperation cluster employ...