Multi-Antenna Transceiver Techniques for 3g and Beyond
Multi-Antenna Transceiver Techniques for 3g and Beyond
Wireless Communications
Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,
Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,
Capacities of Physical Layer Scheduling Strategies on a Shared Link
Wireless Personal Communications: An International Journal
On throughput-fairness tradeoff in virtual MIMO systems with limited feedback
EURASIP Journal on Wireless Communications and Networking - Special issue on fairness in radio resource management for wireless networks
Performance analysis of downlink OFDMA resource allocation with limited feedback
IEEE Transactions on Wireless Communications
A Threshold-Based Channel State Feedback Algorithm for Modern Cellular Systems
IEEE Transactions on Wireless Communications
Antenna combining for the MIMO downlink channel
IEEE Transactions on Wireless Communications
Opportunistic beamforming using dumb antennas
IEEE Transactions on Information Theory
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
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We consider a multi-antenna downlink transmission system with multiple users on a shared channel. Transmit beamforming is based on antenna selection and closed-loop (CL) diversity modes adopted from the Universal Mobile Telecommunications System (UMTS) with generalization to more than two antennas. The main contribution of the paper is to compare the performance gain of three physical layer scheduling algorithms: On-Off scheduling, Maximum signal-to-noise ratio (SNR), and Round Robin. The latter two represent respective upper and lower bounds for the scheduling gain while On-Off scheduling is a practical scheme requiring limited feedback. In particular, we concentrate on the joint effect of transmit beamforming together with scheduling. Furthermore, for scheduling we analyze the effect of feedback errors. We see that the use of transmit beamforming with an increased number of antennas reduces the gain from scheduling, but the combined gain remains substantial. We show that the On-Off strategy can reach the performance of the ideal Maximum SNR strategy if the feedback threshold is optimized. However, a low feedback bit error rate (BER) already causes degradation of the performance.