2019/12/21 by Constantinos Psomas, Psomas, Constantinos, Ioannis Krikidis +1 · 1 citation
Biochemistry, Genetics and Molecular Biology · Engineering · #Advanced Wireless Communication Technologies #FOS: Computer and information sciences #FOS: Electrical engineering #Information Theory (cs.IT) #Ocular Disorders and Treatments #Signal Processing (eess.SP) #Underwater Vehicles and Communication Systems #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1912.10347
openalex publication_date 2019/12/21 · openalex created_date 2022/07/26 · openalex updated_date 2026/07/30
The employment of intelligent reflecting surfaces (IRSs) is a potential and\npromising solution to increase the spectral and energy efficiency of wireless\ncommunication networks. Despite their many advantages, IRS-aided communications\nhave limitations as they are subject to high propagation losses. To overcome\nthis, the phase rotation (shift) at each element needs to be designed in such a\nway as to increase the channel gain at the destination. However, this increases\nthe system's complexity as well as its power consumption. In this paper, we\npresent an analytical framework for the performance of random rotation-based\nIRS-aided communications. Under this framework, we propose four low-complexity\nand energy efficient schemes, based on a coding or a selection approach. Both\nof these approaches employ random phase rotations and require limited knowledge\nof channel state information. Specifically, the coding-based schemes use\ntime-varying random phase rotations to produce an equivalent time-varying\nchannel. On the other hand, the selection-based schemes select a partition of\nthe IRS elements based on the received signal power at the destination.\nAnalytical expressions for the achieved outage probability and energy\nefficiency of each scheme are derived. It is demonstrated that all schemes can\nprovide significant performance gains as well as full diversity order.\n