Optimization by Vector Space Methods
Optimization by Vector Space Methods
Optimal training for time-selective wireless fading channels using cutoff rate
EURASIP Journal on Applied Signal Processing
Pilot-assisted estimation of MIMO fading channel response and achievable data rates
IEEE Transactions on Signal Processing
Average-rate optimal PSAM transmissions over time-selective fading channels
IEEE Transactions on Wireless Communications
The noncoherent rician fading Channel-part I: structure of the capacity-achieving input
IEEE Transactions on Wireless Communications
Noncoherent Rician fading Channel-part II: spectral efficiency in the low-power regime
IEEE Transactions on Wireless Communications
Capacity of fading channels with channel side information
IEEE Transactions on Information Theory
Capacity of a mobile multiple-antenna communication link in Rayleigh flat fading
IEEE Transactions on Information Theory
Unitary space-time modulation for multiple-antenna communications in Rayleigh flat fading
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Capacity and mutual information of wideband multipath fading channels
IEEE Transactions on Information Theory
The capacity of discrete-time memoryless Rayleigh-fading channels
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Broad-band fading channels: signal burstiness and capacity
IEEE Transactions on Information Theory
Bandwidth scaling for fading multipath channels
IEEE Transactions on Information Theory
Fading channels: how perfect need "perfect side information" be?
IEEE Transactions on Information Theory
Spectral efficiency in the wideband regime
IEEE Transactions on Information Theory
Optimal placement of training for frequency-selective block-fading channels
IEEE Transactions on Information Theory
How much training is needed in multiple-antenna wireless links?
IEEE Transactions on Information Theory
Capacity bounds via duality with applications to multiple-antenna systems on flat-fading channels
IEEE Transactions on Information Theory
Capacity-achieving probability measure for conditionally Gaussian channels with bounded inputs
IEEE Transactions on Information Theory
Characterization and computation of optimal distributions for channel coding
IEEE Transactions on Information Theory
Capacity Per Unit Energy of Fading Channels With a Peak Constraint
IEEE Transactions on Information Theory
Channel Uncertainty in Ultra-Wideband Communication Systems
IEEE Transactions on Information Theory
Channel Coherence in the Low-SNR Regime
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Achievable rate of MIMO channels with data-aided channel estimation and perfect interleaving
IEEE Journal on Selected Areas in Communications
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
On energy efficiency of pilot assisted modulation schemes
Sarnoff'10 Proceedings of the 33rd IEEE conference on Sarnoff
Hi-index | 754.84 |
In this paper, the capacity and energy efficiency of training-based communication schemes employed for transmission over a priori unknown Rayleigh block-fading channels are studied. Initially, the case in which the product of the estimate error and transmitted signal is assumed to be Gaussian noise is considered. In this case, it is shown that bit energy requirements grow without bound as the signal-to-noise ratio (SNR) goes to zero, and the minimum bit energy is achieved at a nonzero SNR value below which one should not operate. The effect of the block length on both the minimum bit energy and the SNR value at which the minimum is achieved is investigated. Flash training and transmission schemes are analyzed and shown to improve the energy efficiency in the low-SNR regime. In the second part of this paper, the capacity and energy efficiency of training-based schemes are investigated when the channel input vector in each coherence block is subject to peak power constraints. The capacity-achieving input structure is characterized and the magnitude distribution of the optimal input is shown to be discrete with a finite number of mass points. The capacity, bit energy requirements, and optimal resource allocation strategies are obtained through numerical analysis. The improvements in energy efficiency when ON-OFF keying (OOK) with fixed peak power and vanishing duty cycle is employed are studied.