Spectrum sensing in optical wireless communication network

• Published in: Transactions on emerging telecommunications technologies 2020-04, Vol.31 (4), p.n/a
• Main Author: Wu, Wei‐Chiang
• Format: Article
• Language: English
• ISSN: 2161-3915; 2161-3915
• DOI: 10.1002/ett.3716

The main focus of this paper is on the issue of spectrum sensing or channel awareness in an optical wireless scattering communication network. We propose two spectrum sensing algorithms to detect M‐ary pulse‐position modulation signal under Poisson channel statistic. The first algorithm premises on symbol‐by‐symbol block processing, in which the photon‐counting receiver collects the received photons during a symbol interval and a Neyman‐Pearson decision rule is developed to determine the optimum decision threshold, whereas the second algorithm is based on chip‐level sequential as well as diversity detection. Performances of both algorithms are extensively analyzed in terms of the detection probability, the false alarm probability, the average detection delay, and the average false alarm run length. Simulation results demonstrate that scheme 2 outperforms scheme 1 under different scenarios. We also analyze the existing algorithm on the considered signal model and verify the effectiveness of the proposed algorithms over existing spectrum sensing algorithm. The contribution of this work is as following: (1) This work proposes two novel spectrum sensing methods that can be applied in optical wireless scattering communication network to detect the MPPM signal. (2) The proposed sequential as well as diversity algorithm (as depicted in the above figure) is real time and outperforms existed algorithm. (3) Performances are extensively analyzed in terms of the detection probability, the false alarm probability, the average detection delay and the average false alarm run length.