Scheduling for multiuser MIMO downlink channels with ranking-based feedback
EURASIP Journal on Advances in Signal Processing
Code design for MIMO broadcast channels
IEEE Transactions on Communications
IEEE Transactions on Wireless Communications
Optimal multiuser MIMO linear precoding with LMMSE receiver
EURASIP Journal on Wireless Communications and Networking - 3GPP LTE and LTE Advanced
Multi-user diversity gain for oblivious and informed users in downlink channels
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Maximum sum-rate of MIMO multiuser scheduling with linear receivers
IEEE Transactions on Communications
Effect of transmit correlation on the sum-rate capacity of two-user broadcast channels
IEEE Transactions on Communications
On the trade-off between feedback and capacity in measured MU-MIMO channels
IEEE Transactions on Wireless Communications
How much does transmit correlation affect the sum-rate scaling of MIMO Gaussian broadcast channels?
IEEE Transactions on Communications
Asymptotic analysis of outage region in CDMA MIMO systems
IEEE Transactions on Information Theory
Performance of CSI-based multi-user MIMO for the LTE downlink
Proceedings of the 6th International Wireless Communications and Mobile Computing Conference
Joint power allocation and scheduling of multi-antenna OFDM system in broadcast channel
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Low complexity antenna selection scheme for multiuser MIMO broadcast systems
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Sum rates, rate allocation, and user scheduling for multi-user MIMO vector perturbation precoding
IEEE Transactions on Wireless Communications
A novel volume-based scheduling scheme for multiuser multiple-input multiple-output downlink system
RWS'10 Proceedings of the 2010 IEEE conference on Radio and wireless symposium
Multiuser MIMO achievable rates with downlink training and channel state
IEEE Transactions on Information Theory
Asymptotic analysis of precoded small cell networks
INFOCOM'10 Proceedings of the 29th conference on Information communications
User restriction scheme for feedback reduction of unitary matrix based SDMA
CCNC'10 Proceedings of the 7th IEEE conference on Consumer communications and networking conference
On wireless downlink scheduling of MIMO systems with homogeneous users
IEEE Transactions on Information Theory
OFDMA capacity analysis in MIMO channels
IEEE Transactions on Information Theory
MIMO broadcast channels with spatial heterogeneity
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
An optimized unitary beamforming technique for MIMO broadcast channels
IEEE Transactions on Wireless Communications
Superiority of superposition multiaccess with single-user decoding over TDMA in the low SNR regime
IEEE Transactions on Information Theory
How much feedback is required for TDD multi-antenna broadcast channels with user selection?
EURASIP Journal on Advances in Signal Processing
EURASIP Journal on Wireless Communications and Networking
Low Complexity Antenna Selection Scheme for Multicarrier MIMO Broadcast Communication
Journal of Signal Processing Systems
USC SDR, an easy-to-program, high data rate, real time software radio platform
Proceedings of the second workshop on Software radio implementation forum
Hi-index | 755.14 |
We compare the capacity of dirty-paper coding (DPC) to that of time-division multiple access (TDMA) for a multiple-antenna (multiple-input multiple-output (MIMO)) Gaussian broadcast channel (BC). We find that the sum-rate capacity (achievable using DPC) of the multiple-antenna BC is at most min(M,K) times the largest single-user capacity (i.e., the TDMA sum-rate) in the system, where M is the number of transmit antennas and K is the number of receivers. This result is independent of the number of receive antennas and the channel gain matrix, and is valid at all signal-to-noise ratios (SNRs). We investigate the tightness of this bound in a time-varying channel (assuming perfect channel knowledge at receivers and transmitters) where the channel experiences uncorrelated Rayleigh fading and in some situations we find that the dirty paper gain is upper-bounded by the ratio of transmit-to-receive antennas. We also show that min(M,K) upper-bounds the sum-rate gain of successive decoding over TDMA for the uplink channel, where M is the number of receive antennas at the base station and K is the number of transmitters.