Precoding and Signal Shaping for Digital Transmission
Precoding and Signal Shaping for Digital Transmission
Convex Optimization
On suboptimum receivers for DS-CDMA with BPSK modulation
Signal Processing
Random matrix theory and wireless communications
Communications and Information Theory
On overloaded vector precoding for single-user MIMO channels
IEEE Transactions on Wireless Communications
On the complexity of sphere decoding in digital communications
IEEE Transactions on Signal Processing
Linear transmit processing in MIMO communications systems
IEEE Transactions on Signal Processing - Part I
Precoding in multiantenna and multiuser communications
IEEE Transactions on Wireless Communications
A statistical-mechanics approach to large-system analysis of CDMA multiuser detectors
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
On the capacity loss due to separation of detection and decoding
IEEE Transactions on Information Theory
Randomly spread CDMA: asymptotics via statistical physics
IEEE Transactions on Information Theory
Communication Over MIMO Broadcast Channels Using Lattice-Basis Reduction
IEEE Transactions on Information Theory
Vector Precoding for Wireless MIMO Systems and its Replica Analysis
IEEE Journal on Selected Areas in Communications
| Hi-index | 35.68 |
We propose different convex alphabet relaxation schemes for vector precoding in MIMO broadcast channels using binary, quaternary and octonary modulation. Expressions are presented for the probability of the different precoding schemes to achieve interference-free communication over singular channels. The energy of transmission is evaluated in the many user limit using the replica method from statistical physics. An alternative channel inversion technique is proposed which makes purely real binary alphabets perform as well as their complex extensions, resulting in reduced complexity in the optimization process. The relevance of the asymptotic analysis is confirmed by finite size simulations.