Elements of information theory
Elements of information theory
Understanding digital subscriber line technology
Understanding digital subscriber line technology
On Limits of Wireless Communications in a Fading Environment when UsingMultiple Antennas
Wireless Personal Communications: An International Journal
Approaching the MIMO capacity with a low-rate feedback channel in V-BLAST
EURASIP Journal on Applied Signal Processing
Space Division Multiple Access With a Sum Feedback Rate Constraint
IEEE Transactions on Signal Processing - Part II
IEEE Transactions on Signal Processing
Iterative water-filling for Gaussian vector multiple-access channels
IEEE Transactions on Information Theory
Sum power iterative water-filling for multi-antenna Gaussian broadcast channels
IEEE Transactions on Information Theory
Adaptive modulation and MIMO coding for broadband wireless data networks
IEEE Communications Magazine
Turbo-BLAST: performance evaluation in correlated Rayleigh-fading environment
IEEE Journal on Selected Areas in Communications
Error propagation on power allocation in generalized layered space-time coding communication systems
APCC'09 Proceedings of the 15th Asia-Pacific conference on Communications
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This paper generalizes the information-theoretic optimality of minimum mean square error successive interference cancellation in layered space-time coding with rate and power control. Based on this derivation, a new concept relying on partial feedback is introduced, whose core idea is to exploit an additional degree of freedom relative to the partitioning of transmit antennas. Taking into account this additional degree of freedom, together with power control and decoding order, allows the reduction of the quantization noise induced by the use of finite discrete-rate sets at the transmitter. However, the simultaneous optimization of all those degrees of freedom proves to be computationally intensive and would result in a tremendous feedback load. Practical algorithms are thus proposed to achieve this optimization with a reasonable complexity and a limited amount of feedback. Monte-Carlo simulations show that those algorithms perform close to the theoretical limits.