JOURNAL ARTICLE

Spectrally encoded code‐division multiple access for cognitive radio networks

Shahla NajafiMahrokh G. Shayesteh

Year: 2014 Journal:   IET Communications Vol: 8 (2)Pages: 184-198   Publisher: Institution of Engineering and Technology

Abstract

Recent studies have revealed that spectrum congestion is due to the inefficient usage of spectrum against the availability. Cognitive radio is viewed as an approach for improving the utilisation of radio spectrum. The spectrally encoded (spread‐time) code‐division multiple access (SE‐CDMA) technique (which is regarded as the dual of spread spectrum CDMA) is considered and its performance in cognitive radio networks is studied. In cognitive network spectrum, overlay and underlay techniques are employed to enable the primary and secondary users to coexist while improving the overall spectrum efficiency. It is shown that SE‐CDMA provides considerable flexibility to design overlay and underlay waveforms that are scenario‐dependent. The performance of SE‐CDMA method is evaluated in additive white Gaussian noise and fading channels in terms of both primary and secondary users. Moreover, its performance is compared with cognitive radio using soft‐decision spectrally modulated spectrally encoded waveforms. The results indicate the efficiency of SE‐CDMA.

Keywords:
Cognitive radio Underlay Computer science Code division multiple access Computer network Additive white Gaussian noise Overlay Fading Spectral efficiency Spread spectrum Telecommunications Electronic engineering Signal-to-noise ratio (imaging) Wireless Engineering Channel (broadcasting)

Metrics

4
Cited By
0.74
FWCI (Field Weighted Citation Impact)
26
Refs
0.74
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Wireless Communication Networks Research
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced Wireless Communication Techniques
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Cognitive Radio Networks and Spectrum Sensing
Physical Sciences →  Computer Science →  Computer Networks and Communications

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