JOURNAL ARTICLE

Performance analysis of cognitive underlay two-way relay networks with interference and imperfect channel state information

Hoang Van ToanVo Nguyen Quoc BaoKhoa N. Le

Year: 2018 Journal:   EURASIP Journal on Wireless Communications and Networking Vol: 2018 (1)   Publisher: Springer Nature

Abstract

Abstract In this paper, we evaluate two-way relay communication systems in cognitive radio environments. The proposed model includes two subsystems: a primary system and a secondary system. The primary system consists of a primary transmitter and a primary receiver while the secondary includes two terminals exchanging their data via an intermediate relay node. Each network node is equipped with a single antenna and operates under a half-duplex mode. The channel state information (CSI) interference from the secondary node to the primary receiver is assumed imperfect. Using analytical methods, this paper derives the interference probability from the secondary system to the primary receiver and an optimal back-off control power coefficient for the secondary transmitter. To evaluate the secondary system quality, an explicit expression for the system outage probability (OP) and its closed form in the high signal-to-noise region (SNR) is presented. Theoretical results are verified using Monte-Carlo simulation.

Keywords:
Underlay Computer science Transmitter Relay Node (physics) Channel state information Cognitive radio Interference (communication) Channel (broadcasting) Relay channel Secondary source Cognitive network Computer network Telecommunications Signal-to-noise ratio (imaging) Power (physics) Wireless

Metrics

14
Cited By
1.35
FWCI (Field Weighted Citation Impact)
39
Refs
0.82
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Full-Duplex Wireless Communications
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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