On the Capacity of the Peak-Limited and Band-Limited Channel

We investigate the peak-power limited (PPL) Additive White Gaussian Noise (AWGN) channels in which the signal is band-limited, and its instantaneous power cannot exceed the power <i>P</i>. This model is relevant to many communication systems; however, its capacity is still unknown. We use a new geometry-based approach which evaluates the maximal entropy of the transmitted signal by assessing the volume of the body, in the space of Nyquist-rate samples, comprising all the points the transmitted signal can reach. This leads to lower bounds on capacity which are tight at high Signal to Noise Ratios (SNRs). We find lower bounds on capacity, expressed as power efficiency, that were higher than the known ones by a factor of 3.3 and 8.6 in the low-pass and the band-pass cases, respectively. The gap to the upper bounds is reduced to a power ratio of 1.5. The new bounds are numerically evaluated for FDMA-style signals with limited duration and also are derived in the general case as a conjecture. The penalty in power efficiency due to the peak power constraint is roughly 6 dB at high SNRs. Further research is needed to develop effective modulation and coding for this channel.

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Publication Details

Journal
Entropy
Published
2024-12-03
DOI
https://doi.org/10.3390/e26121049
Citations
3
Primary Topic
Advanced Wireless Communication Techniques
Type
article
Field-Weighted Citation Impact
0.63
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article

On the Capacity of the Peak-Limited and Band-Limited Channel

Shlomo Shamai, Michael Peleg
3 citations
Entropy
Advanced Wireless Communication Techniques
0.63
article

On the Capacity of the Peak-Limited and Band-Limited Channel

Shlomo Shamai, Michael Peleg
article en
3 citations

Abstract

We investigate the peak-power limited (PPL) Additive White Gaussian Noise (AWGN) channels in which the signal is band-limited, and its instantaneous power cannot exceed the power <i>P</i>. This model is relevant to many communication systems; however, its capacity is still unknown. We use a new geometry-based approach which evaluates the maximal entropy of the transmitted signal by assessing the volume of the body, in the space of Nyquist-rate samples, comprising all the points the transmitted signal can reach. This leads to lower bounds on capacity which are tight at high Signal to Noise Ratios (SNRs). We find lower bounds on capacity, expressed as power efficiency, that were higher than the known ones by a factor of 3.3 and 8.6 in the low-pass and the band-pass cases, respectively. The gap to the upper bounds is reduced to a power ratio of 1.5. The new bounds are numerically evaluated for FDMA-style signals with limited duration and also are derived in the general case as a conjecture. The penalty in power efficiency due to the peak power constraint is roughly 6 dB at high SNRs. Further research is needed to develop effective modulation and coding for this channel.

EntropyVol. 26(12)
Technion – Israel Institute of Technology (IL)
Affordable and clean energy
Openalex Percentile: Top 30%
Advanced Wireless Communication Techniques
0.63
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