JOURNAL ARTICLE

Capacity of amplify-and-forward multi-hop relaying systems under adaptive transmission

Golnaz FarhadiNorman C. Beaulieu

Year: 2010 Journal:   IEEE Transactions on Communications Vol: 58 (3)Pages: 758-763   Publisher: IEEE Communications Society

Abstract

The capacity of amplify-and-forward multi-hop relaying systems under different adaptive transmission schemes over Nakagami-m fading channels is considered. Accurate theoretical approximations for the capacity of these systems are derived in terms of the characteristic function of the reciprocal of the instantaneous received signal-to-noise ratio. An accurate theoretical approximation for the probability of outage is also obtained. The accuracy of the expressions obtained is verified by Monte Carlo simulation. It is shown that a system with optimal power and rate adaptation outperforms the system with truncated channel inversion adaptive technique. Systems employing optimal rate adaptation with constant power achieve almost the same capacity as those with optimal rate and power adaptation at large values of signal-to-noise ratio. However, the capacity performance of a system with the truncated channel inversion adaptive technique is better than the corresponding system employing optimal rate adaptation with constant power for small values of signal-to-noise ratio.

Keywords:
Fading Channel capacity Nakagami distribution Signal-to-noise ratio (imaging) Computer science Control theory (sociology) Noise power Communications system Adaptive system Channel (broadcasting) Electronic engineering Topology (electrical circuits) Mathematics Power (physics) Telecommunications Engineering Physics

Metrics

48
Cited By
10.01
FWCI (Field Weighted Citation Impact)
14
Refs
0.98
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Cooperative Communication and Network Coding
Physical Sciences →  Computer Science →  Computer Networks and Communications
Full-Duplex Wireless Communications
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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