Network MIMO With Linear Zero-Forcing Beamforming: Large System Analysis, Impact of Channel Estimation, and Reduced-Complexity Scheduling - Hoon Huh; Tulino, A. M.; Caire, G. (IEEE transactions on information theory, 2012)
Keywords: 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