Elements of information theory
Elements of information theory
Convex Optimization
Robust power allocation algorithms for MIMO OFDM systems with imperfect CSI
IEEE Transactions on Signal Processing
An overview of peak-to-average power ratio reduction techniques for multicarrier transmission
IEEE Wireless Communications
Bit-interleaved coded modulation
IEEE Transactions on Information Theory
Modulation and coding for linear Gaussian channels
IEEE Transactions on Information Theory
Optimum power allocation for parallel Gaussian channels with arbitrary input distributions
IEEE Transactions on Information Theory
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This paper introduces a joint bit loading and power allocation algorithm for systems combining bit-interleaved coded modulation (BICM) with multicarrier transmission. The proposed algorithm maximizes the mutual information, so it can be regarded as a generalization of mercury/waterfilling policy that incorporates bit loading. The followed approach relies on irregular modulation and power to cast the problem in the framework of convex optimization. This allows to derive the optimum solution without resorting to greedy algorithms, embedding the bit loading in the definition of an equivalent constellation such that the complexity increase with respect to mercury/waterfilling is negligible. While irregular modulation plays a key role in algorithm definition, it is proved that only a few subcarriers employ it and it is shown that a practical low complexity algorithm can be obtained with minimal losses that does not use irregular modulation.