On Limits of Wireless Communications in a Fading Environment when UsingMultiple Antennas
Wireless Personal Communications: An International Journal
MIMO Systems in Random Uncorrelated, Correlated and Deterministic Radio Channels
Wireless Personal Communications: An International Journal
On the Performance of Link Adaptation Techniques in MIMO Systems
Wireless Personal Communications: An International Journal
Joint bit allocation and precoding for MIMO systems with decision feedback detection
IEEE Transactions on Signal Processing
Optimal minimum distance-based precoder for MIMO spatial multiplexing systems
IEEE Transactions on Signal Processing
Bit loading with BER-constraint for multicarrier systems
IEEE Transactions on Wireless Communications
Array gain and capacity for known random channels with multiple element arrays at both ends
IEEE Journal on Selected Areas in Communications
Optimal precoding for orthogonalized spatial multiplexing in closed-loop MIMO systems
IEEE Journal on Selected Areas in Communications
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This paper proposes an efficient bit-loading algorithm for Multiple-Input-Multiple-Output transmission over spatially correlated channels with perfect Channel State Information at both link ends. Based on water-filling principle, the algorithm does not assume the well-known gap approximation and accounts for the spatial correlation effects through the initial bit allocation. The result is the optimal distribution of bits and power over the eigenmodes for multiple antenna systems. We report the performance evaluations in the presence of spatial correlation in order to illustrate the efficiency and the robustness of our bit-loading algorithm in realistic environments. The simulation results demonstrate that our algorithm leads to significant improvements. In addition, these results show that our algorithm achieves the maximal diversity order, as well as exhibiting a high extra coding gain.