On the asymptotic optimality of opportunistic norm-based user selection with hard SINR constraint

Authors:
Xi Zhang;Eduard A. Jorswieck;Björn Ottersten;Arogyasvsami Paulraj
Affiliations:
Signal Processing Laboratory, ACCESS Linnaeus Center, Royal Institute of Technology, Stockholm, SE, Sweden;Communications Laboratory, Faculty of Electrical Engineering and Information Technology, Dresden University of Technology, Dresden, Germany;Signal Processing Laboratory, ACCESS Linnaeus Center, Royal Institute of Technology, Stockholm, SE, Sweden;Information Systems Laboratory, Stanford University, CA
Venue:
EURASIP Journal on Advances in Signal Processing - Multiuser MIMO Transmission with Limited Feedback, Cooperation, and Coordination
Year:
2009

Citing 10
Cited 0

Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,

Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,
On downlink beamforming with greedy user selection: performance analysis and a simple new algorithm

IEEE Transactions on Signal Processing - Part I
Opportunistic beamforming using dumb antennas

IEEE Transactions on Information Theory
On the achievable throughput of a multiantenna Gaussian broadcast channel

IEEE Transactions on Information Theory
Duality, achievable rates, and sum-rate capacity of Gaussian MIMO broadcast channels

IEEE Transactions on Information Theory
On the capacity of MIMO broadcast channels with partial side information

IEEE Transactions on Information Theory
Downlink capacity evaluation of cellular networks with known-interference cancellation

IEEE Journal on Selected Areas in Communications
On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming

IEEE Journal on Selected Areas in Communications
Multi-Antenna Downlink Channels with Limited Feedback and User Selection

IEEE Journal on Selected Areas in Communications
An overview of limited feedback in wireless communication systems

IEEE Journal on Selected Areas in Communications

Quantified Score

Hi-index	0.00

Visualization

Abstract

Recently, user selection algorithms in combination with linear precoding have been proposed that achieve the same scaling as the sum capacity of the MIMO broadcast channel. Robust opportunistic beamforming, which only requires partial channel state information for user selection, further reduces feedback requirements. In this work, we study the optimality of the opportunistic norm-based user selection system in conjunction with hard SINR requirements under max-min fair beamforming transmit power minimization. It is shown that opportunistic norm-based user selection is asymptotically optimal, as the number of transmit antennas goes to infinity when only two users are selected in high SNR regime. The asymptotic performance of opportunistic norm-based user selection is also studied when the number of users goes to infinity. When a limited number of transmit antennas and/or median range of users are available, only insignificant performance degradation is observed in simulations with an ideal channel model or based on measurement data.