Linear precoded cooperative transmission protocol for wireless broadcast channels
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 3
On the selection of semi-orthogonal users for zero-forcing beamforming
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 2
Efficient linear precoding in downlink cooperative cellular networks with soft interference nulling
Allerton'09 Proceedings of the 47th annual Allerton conference on Communication, control, and computing
MIMO downlink scheduling with non-perfect channel state knowledge
IEEE Transactions on Communications
Fair user selection for zero-forcing precoding in multi-user MISO systems
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Multiuser MISO transmitter optimization for intercell interference mitigation
IEEE Transactions on Signal Processing
Design and experimental evaluation of multi-user beamforming in wireless LANs
Proceedings of the sixteenth annual international conference on Mobile computing and networking
Efficient weighted sum rate maximization with linear precoding
IEEE Transactions on Signal Processing
Cooperative multi-cell block diagonalization with per-base-station power constraints
IEEE Journal on Selected Areas in Communications - Special issue on cooperative communications in MIMO cellular networks
Linear precoding in cooperative MIMO cellular networks with limited coordination clusters
IEEE Journal on Selected Areas in Communications - Special issue on cooperative communications in MIMO cellular networks
Optimal multiuser zero forcing with per-antenna power constraints for network MIMO coordination
EURASIP Journal on Wireless Communications and Networking - Special issue on multimedia communications over next generation wireless networks
NEMOx: scalable network MIMO for wireless networks
Proceedings of the 19th annual international conference on Mobile computing & networking
| Hi-index | 35.69 |
We consider the problem of linear zero-forcing precoding design and discuss its relation to the theory of generalized inverses in linear algebra. Special attention is given to a specific generalized inverse known as the pseudo-inverse. We begin with the standard design under the assumption of a total power constraint and prove that precoders based on the pseudo-inverse are optimal among the generalized inverses in this setting. Then, we proceed to examine individual per-antenna power constraints. In this case, the pseudo-inverse is not necessarily the optimal inverse. In fact, finding the optimal matrix is nontrivial and depends on the specific performance measure. We address two common criteria, fairness and throughput, and show that the optimal generalized inverses may be found using standard convex optimization methods. We demonstrate the improved performance offered by our approach using computer simulations.