JOURNAL ARTICLE

Multihop Cognitive Relaying Over Composite Multipath/Shadowing Channels

Gervais N. KamgaKaïs Ben FredjSonia Aı̈ssa

Year: 2014 Journal:   IEEE Transactions on Vehicular Technology Vol: 64 (8)Pages: 3807-3812   Publisher: Institute of Electrical and Electronics Engineers

Abstract

The composite multipath/shadowing model is key to accurate modeling of real-world wireless channels, due to the combination of the effects of both fading and shadowing. However, the fundamental limits of spectrum-sharing cognitive radio have not been studied for such propagation conditions, leaving a gap in the analysis of these systems and, hence, the communication strategies that can be built upon toward improving performance. In this paper, we consider a primary/secondary spectrum-sharing network and study the performance of the secondary's multihop link by taking the composite multipath/shadowing model, which is described by the generalized- $K$ distribution, for the radio channels. In the multihop system, communication between secondary users (SUs) is assisted by intermediate relay terminals, under coexistence constraints with the primary users (PUs) . We assess the performance of the multihop system, first by deriving the moment generating function (mgf) and the probability density function (pdf) of the upper bounded end-to-end signal-to-noise ratio in closed form. The result is then used to obtain closed-form expressions of bounds on the ergodic capacity and the average bit error rate (ABER) , under the resource sharing constraints. The theoretical results are assessed with numerical analysis for different operating conditions.

Keywords:
Cognitive radio Multipath propagation Shadow mapping Fading Computer science Ergodic theory Topology (electrical circuits) Wireless Moment-generating function Relay Computer network Algorithm Probability density function Mathematics Channel (broadcasting) Telecommunications Engineering Statistics Electrical engineering Physics Artificial intelligence

Metrics

21
Cited By
2.40
FWCI (Field Weighted Citation Impact)
13
Refs
0.92
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Cooperative Communication and Network Coding
Physical Sciences →  Computer Science →  Computer Networks and Communications
Cognitive Radio Networks and Spectrum Sensing
Physical Sciences →  Computer Science →  Computer Networks and Communications
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