Achieving long-term fairness and optimum multiuser diversity gain in time-varying broadcast channels
IEEE Transactions on Information Theory
An analysis of scheduling and feedback for multiuser MIMO systems
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
BER performance analysis of multiuser diversity with antenna selection in MRC MIMO systems
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Outage and diversity analysis of opportunistic beamforming over Rayleigh channels
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Optimum feedback quantization in an opportunistic beamforming scheme
IEEE Transactions on Wireless Communications
Scheduling for multiuser MIMO broadcast systems: transmit or receive beamforming?
IEEE Transactions on Wireless Communications
IEEE Transactions on Wireless Communications
Performance of multiuser diversity in MIMO systems on arbitrary Nakagami-m fading channels
Wireless Communications & Mobile Computing
On the compound impact of opportunistic scheduling and D2D communications in cellular networks
Proceedings of the 16th ACM international conference on Modeling, analysis & simulation of wireless and mobile systems
Hi-index | 754.90 |
Recently proposed opportunistic beamforming exploits the multiuser diversity to reduce the feedback by not requiring the precoding information used for closed-loop schemes to be known at the transmitter. Opportunism could also be beneficially employed for other multiple-antenna transmission techniques like cophasing and antenna selection. For opportunistic beamforming and antenna selection, we give closed-form expressions for throughput that closely approximate the performance of these schemes with a Proportionally Fair scheduler (PFS) at low signal-to-noise ratios (SNRs). For large number of transmit antennas, opportunistic cophasing has similar performance as opportunistic beamforming. Asymptotic dependence of the required number of users to achieve the gains of opportunism on the number of transmit antennas is exponential for opportunistic beamforming (and cophasing for large numbers of transmit antennas), and at best linear for opportunistic antenna selection. For multiple-antenna receivers, we additionally examine an opportunistic multiple-input multiple-output (MIMO) scheme that transmits multiple data streams simultaneously to the same user.