NDLI: Scheduling of Multi-Antenna Broadcast Systems with Heterogeneous Users

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IEEE Communications Society

Guest Editorial Optimization of MIMO Transceivers for Realistic Communication Networks: Challenges and Opportunities

On the capacity of MIMO wireless channels with dynamic CSIT

Approaching MIMO-OFDM Capacity with Per-Antenna Power and Rate Feedback

Systematic Codebook Designs for Quantized Beamforming in Correlated MIMO Channels

Optimum Receiver Design for Correlated Rician Fading MIMO Channels with Pilot-Aided Detection

Throughput Analysis for Parallel ARQ over Correlated MIMO Channels

Fundamental Limits in MIMO Broadcast Channels

Practical Vector Dirty Paper Coding for MIMO Gaussian Broadcast Channels

Spectral Efficiency in Single-Hop Ad-Hoc Wireless Networks with Interference Using Adaptive Antenna Arrays

Impact of Pilot Design on Achievable Data Rates in Multiple Antenna Multiuser TDD Systems

Tomlinson-Harashima Precoding for Broadcast Channels with Uncertainty

Robust Power Allocation Designs for Multiuser and Multiantenna Downlink Communication Systems through Convex Optimization

Optimum Power Allocation for Single-User MIMO and Multi-User MIMO-MAC with Partial CSI

A Robust Coded MIMO FH-CDMA Transceiver for Mobile Ad Hoc Networks

Scheduling of Multi-Antenna Broadcast Systems with Heterogeneous Users

Performance Analysis of Scheduling in Multiuser MIMO Systems with Zero-Forcing Receivers

Optimization of Training and Scheduling in the Non-Coherent SIMO Multiple Access Channel

MIMO Broadcast Scheduling with Limited Feedback

Joint Beamforming and Scheduling for a Multi-Antenna Downlink with Imperfect Transmitter Channel Knowledge

Multi-Antenna Downlink Channels with Limited Feedback and User Selection

Information for Authors IEEE Journal on Selected Areas in Communication (J-SAC)

Call for Papers

Call for Papers

Call for Papers: Underwater Wireless Communications and Networks

Call for Papers: Network Infrastructure Configuration

IEEE Communications Society 2007 Board of Governors

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Scheduling of Multi-Antenna Broadcast Systems with Heterogeneous Users

Content Provider	IEEE Xplore Digital Library
Author	Jagannathan, K. Borst, S. Whiting, P. Modiano, E.
Copyright Year	1983
Abstract	We study the problem of efficiently scheduling users in a Gaussian broadcast channel with M transmit antennas and K independent receivers, each with a single antenna. We first focus on a scenario with two transmit antennas and statistically identical users, and analyze the gap between the full sum capacity and the rate that can be achieved by transmitting to a suitably selected pair of users. In particular, we consider a scheme that picks the user with the largest channel gain, and selects a second user from the next L - 1 strongest ones to form the best pair, taking channel orientations into account as well. We prove that the expected rate gap converges to 1/(L- 1) nats/symbol when the total number of users K tends to infinity. Allowing L to increase with K, it may be deduced that transmitting to a properly chosen pair of users is asymptotically optimal, while considerably reducing the feedback overhead and scheduling complexity. Next, we tackle the problem of maximizing a weighted sum rate in a scenario with heterogeneous user characteristics. We establish a novel upper bound for the weighted sum capacity, which we then use to show that the maximum expected weighted sum rate can be asymptotically achieved by transmitting to a suitably selected subset of at most MC users, where C denotes the number of distinct user classes. Numerical experiments indicate that the asymptotic results are remarkably accurate and that the proposed schemes operate close to absolute performance bounds, even for a moderate number of users.
File Size	930992
File Format	PDF
ISSN	07338716
Volume Number	25
Issue Number	7
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-09-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Broadcasting Transmitting antennas Receiving antennas Space technology Network address translation H infinity control Feedback Upper bound MIMO Downlink
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Electrical and Electronic Engineering

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