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Energy and spectrum efficiency in predictive-cooperative cognitive radio networks

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Abstract

In this paper, a new predictive-cooperative spectrum sensing (PCSS) scheme is presented which exploits the benefits of both spectrum prediction and cooperative spectrum sensing in a cognitive radio network (CRN). The spectrum efficiency (SE) and energy efficiency (EE) with PCSS are evaluated when the CRN traffic is high. Then, the SE and EE tradeoff problem is formulated via joint optimization of the sensing duration and PCSS decision threshold. Results are presented which show that the proposed PCSS scheme provides a significant improvement in SE and EE compared to well-known schemes in the literature. The decision threshold and sensing time are optimized considering the SE and EE. The effect of balancing SE and EE requirements is also investigated while maximizing the EE and satisfying an SE constraint. Results are presented which show a 34% and 52% gain in EE and SE, respectively, with PCSS compared to cooperative spectrum sensing scheme when the sensing duration and decision threshold are jointly optimized.

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Victoria, Victoria, BC, V8W 2Y2, Canada

    Nagwa Shaghluf & T. Aaron Gulliver

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  1. Nagwa Shaghluf
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  2. T. Aaron Gulliver
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Correspondence to Nagwa Shaghluf.

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Shaghluf, N., Gulliver, T.A. Energy and spectrum efficiency in predictive-cooperative cognitive radio networks. Wireless Netw 27, 5297–5311 (2021). https://doi.org/10.1007/s11276-021-02786-w

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  • DOI: https://doi.org/10.1007/s11276-021-02786-w

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