Improved Spectrum Sensing Based on Polar Codes for Cognitive Radio Networks

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Author(s): Idriss Chana (ESTM, Moulay Ismail University of Meknès, Morocco), Reda Benkhouya (Ibn Tofail University, Morocco), Abdallah Rhattoy (Moulay Ismail University, Morocco)and Youssef Hadi (Ibn Tofail University, Morocco)
Copyright: 2019
Pages: 28
Source title: Sensing Techniques for Next Generation Cognitive Radio Networks
Source Author(s)/Editor(s): Ashish Bagwari (Uttrakhand Technical University, India), Jyotshana Bagwari (Uttrakhand Technical University, India)and Geetam Singh Tomar (THDC Institute of Hydropower Engineering and Technology, India)
DOI: 10.4018/978-1-5225-5354-0.ch013

Keywords: Information Science Reference / Media & Communications / Networking and Telecommunications / Wireless Systems

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Abstract

One challenge of a sensing technique is reducing sensing time while ensuring good effective data rate. In fact, once compressive sensing based on sub-Nyquist sampling is adopted, sensing time can be reduced by saving number of samples. This increases the probability of missed detection which causes collisions with primary service and worsens channel imperfections. In such case erasures occur in addition to errors. In this chapter, the authors propose a new technique to correct erasures while keeping sensing time at a desired level. Based on polar code and low complexity decoding algorithm, the proposed technique exhibits for high code rates better performance in terms of bit error rate (BER) compared to two existing techniques based on other codes, namely low-density parity check (LDPC) and BCH.

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Improved Spectrum Sensing Based on Polar Codes for Cognitive Radio Networks

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