Elements of information theory
Elements of information theory
Convex Optimization
Bit-Interleaved Coded Modulation
Foundations and Trends in Communications and Information Theory
Power control and beamforming for systems with multiple transmit and receive antennas
IEEE Transactions on Wireless Communications
Fading channels: information-theoretic and communications aspects
IEEE Transactions on Information Theory
Multiaccess fading channels. II. Delay-limited capacities
IEEE Transactions on Information Theory
Optimum power control over fading channels
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Mutual information and minimum mean-square error in Gaussian channels
IEEE Transactions on Information Theory
Convergence Analysis and Optimal Scheduling for Multiple Concatenated Codes
IEEE Transactions on Information Theory
Optimum power allocation for parallel Gaussian channels with arbitrary input distributions
IEEE Transactions on Information Theory
A Tight Lower Bound to the Outage Probability of Discrete-Input Block-Fading Channels
IEEE Transactions on Information Theory
Outage analysis of the hybrid free-space optical and radio-frequency channel
IEEE Journal on Selected Areas in Communications - Special issue on optical wireless communications
Outage exponents of block-fading channels with power allocation
IEEE Transactions on Information Theory
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We consider power allocation strategies for arbitrary input channels with peak, average and peak-to-average power ratio (PAPR) constraints. We are focusing on systems with a fixed and finite input constellation, as encountered in most practical systems. Generalizing previous results, we derive the optimal power allocation scheme that minimizes the outage probability of block-fading channels with arbitrary input constellations, subject to PAPR constraints. We further show that the signal-to-noise ratio exponent for any finite peak-to-average power ratio is the same as that of the peak-power limited problem, resulting in an error floor. We also derive the optimal power allocation strategies that maximize the ergodic capacity for arbitrary input channels, subject to average and PAPR constraints.We show that capacities with peak-to-average power ratio constraints, even for small ratios, are close to capacities without peak-power restrictions. For both delay-limited and ergodic block-fading channels, the optimal power allocation strategies rely on the first derivative of the input-output mutual information, which may be computationally prohibitive for efficient practical implementation. To overcome this limitation, we develop suboptimal power allocation schemes that resemble the traditional water-filling technique. The suboptimal power allocation schemes significantly reduce computational and storage requirements, while enjoying minimal performance losses as compared to optimal schemes.