Leakage-Based Robust Beamforming for Multi-Antenna Broadcast System With Per-Antenna Power Constraints and Quantized CDI

In this paper, we investigate the robust beamforming schemes for a multi-user multiple-input-single-output (MU-MISO) system with per-antenna power constraints and quantized channel direction information (CDI) feedback. Our design objective is to maximize the expectation of the weighted sum-rate perf...

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Bibliographic Details
Published in:IEEE transactions on signal processing Vol. 61; no. 21; pp. 5181 - 5192
Main Authors: Ding, Ming, Zhang, Meng, Luo, Hanwen, Chen, Wen
Format: Journal Article
Language:English
Published: New York, NY IEEE 01.11.2013
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Applied sciences
Array signal processing
Beamforming
Channels
Density
Detection, estimation, filtering, equalization, prediction
Downlink
Exact sciences and technology
Exact solutions
Feedback
Information, signal and communications theory
Interference
Leakage
MIMO
multiuser
Operations research
per-antenna power constraints
Programming
Quantization (signal)
quantized CDI
robust beamforming
Robustness
Signal and communications theory
Signal, noise
Telecommunications and information theory
Vectors
zero-forcing
Performance evaluation
Leakage
Multiple access
robust beamforming
quantized CDI
Feedback regulation
Updating
Iterative method
Power electronics
Power allocation
Beam forming
zero-forcing
Simulation
Signal processing
Density function
multiuser
per-antenna power constraints
MISO system
Antenna
ISSN:1053-587X, 1941-0476
Online Access:Get full text
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Summary:In this paper, we investigate the robust beamforming schemes for a multi-user multiple-input-single-output (MU-MISO) system with per-antenna power constraints and quantized channel direction information (CDI) feedback. Our design objective is to maximize the expectation of the weighted sum-rate performance by means of controlling the interference leakage and properly allocating the power among user equipments (UEs). First, we prove the optimality of the non-robust zero-forcing (ZF) beamforming scheme in the sense of generating the minimum amount of average inter-UE interference under quantized CDI. Then we derive closed-form expressions of the cumulative density function (CDF) of the interference leakage power for the non-robust ZF beamforming scheme, based on which we adjust the leakage thresholds and propose two robust beamforming schemes under per-antenna power constraints with an iterative process to update the per-UE power allocations using the geometric programming (GP). Simulation results show the superiority of the proposed robust beamforming schemes compared with the existing schemes in terms of the average weighted sum-rate performance.
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ISSN:1053-587X
1941-0476
DOI:10.1109/TSP.2013.2275491