JOURNAL ARTICLE

Low SNR Capacity of Fading Channels with Peak and Average Power Constraints

Abstract

Flat-fading channels that are correlated in time are considered under peak and average power constraints. For discrete-time channels, a new upper bound on the capacity per unit time is derived. A low SNR analysis of a full-scattering vector channel is used to derive a complimentary lower bound. Together, these bounds allow us to identify the exact scaling of channel capacity for a fixed peak to average ratio, as the average power converges to zero. The upper bound is also asymptotically tight as the average power converges to zero for a fixed peak power. For a continuous time infinite bandwidth channel, Viterbi identified the capacity for M-FSK modulation. Recently, Zhang and Laneman showed that the capacity can be achieved with non-bursty signaling (QPSK). An additional contribution of this paper is to obtain similar results under peak and average power constraints

Keywords:
Fading Upper and lower bounds Channel capacity Mathematics Channel (broadcasting) Bandwidth (computing) Scaling Topology (electrical circuits) Power (physics) Control theory (sociology) Phase-shift keying Statistics Computer science Telecommunications Bit error rate Physics Mathematical analysis Combinatorics Geometry

Metrics

19
Cited By
4.03
FWCI (Field Weighted Citation Impact)
15
Refs
0.94
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Wireless Communication Techniques
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Cooperative Communication and Network Coding
Physical Sciences →  Computer Science →  Computer Networks and Communications
Wireless Communication Networks Research
Physical Sciences →  Computer Science →  Computer Networks and Communications
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