Short packet communication in underlay cognitive network assisted by an intelligent reflecting surface |
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Authors: | Pham Ngoc Son Tran Trung Duy Pham Viet Tuan Tan-Phuoc Huynh |
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Affiliation: | 1. Faculty of Electrical and Electronics Engineering, Ho Chi Minh City University of Technology and Education, Ho Chi Minh City, Vietnam;2. Department of Electrical Engineering, Posts and Telecommunications Institute of Technology, Ho Chi Minh City, Vietnam;3. Faculty of Physics, University of Education, Hue University, Hue City, Vietnam;4. School of Computing and Information Technology, Eastern International University (EIU), Binh Duong, Vietnam |
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Abstract: | We propose short packet communication in an underlay cognitive radio network assisted by an intelligent reflecting surface (IRS) composed of multiple reconfigurable reflectors. This scheme, called the IRS protocol, operates in only one time slot (TS) using the IRS. The IRS adjusts its phases to give zero received cumulative phase at the secondary destination, thereby enhancing the end-to-end signal-to-noise ratio. The transmitting power of the secondary source is optimized to simultaneously satisfy the multi-interference constraints, hardware limitations, and performance improvement. Simulation and analysis results of the average block error rates (BLERs) show that the performance can be enhanced by installing more reconfigurable reflectors, increasing the blocklength, lowering the number of required primary receivers, or sending fewer information bits. Moreover, the proposed IRS protocol always outperforms underlay relaying protocols using two TSs for data transmission, and achieves the best average BLER at identical transmission distances between the secondary source and secondary destination. The theoretical analyses are confirmed by Monte Carlo simulations. |
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Keywords: | block error rate intelligent reflecting surface reconfigurable intelligent surface short packet communication underlay cognitive radio |
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