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Channel coding for cooperative wideband spectrum sensing under imperfect reporting channels

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Abstract

In this paper, cooperative wideband spectrum sensing (CWSS) performance under imperfect reporting channels is investigated, and algorithms are developed to overcome the reporting channel errors. The channel model is proposed to model the channel between CSU and fusion center (FC). First, the modified performance metrics are derived for the partial band Nyquist sampling-based CWSS (PBNS-CWSS) algorithm under perfect reporting channels. This analysis is then extended to include imperfect reporting channels. Experiments show that the performance of PBNS-CWSS is greatly affected by the reporting channel errors. Two algorithms based on channel codes, namely, repetition code-based CWSS (RepC-CWSS) and hamming code-based CWSS, are proposed. Complete theoretical analysis is carried out for proposed algorithms and validated using Monte–Carlo simulations. It is demonstrated using experiments that the RepC-CWSS algorithm very effectively reduces the effects of reporting channel errors. By properly choosing the repetition length, the effects of reporting channel errors can be removed. However, the RepC-CWSS suffers from a low information rate due to higher redundancy and higher delay in decision making at FC. The HamC-CWSS algorithm performs almost identical to Rep-CWSS and also resolves the issues with RepC-CWSS. It is also demonstrated that the proposed algorithms outperforms recently proposed state-of-the-art algorithms.

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Funding

This work is funded by Sardar Vallabhbhai National Institute of Technology (SVNIT), Surat, Gujarat, India, under Seed Money Grant (Dean(R &C)/Seed Money /2020-21/1474).

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  1. Electronics Engineering, Sardar Vallabhbhai National Institute of Technology, Ichhchhanath, Surat, Gujarat, 395007, India

    Kamal Captain

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Captain, K. Channel coding for cooperative wideband spectrum sensing under imperfect reporting channels. Wireless Netw 28, 3213–3230 (2022). https://doi.org/10.1007/s11276-022-03035-4

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