Large Intelligent Surface-Assisted Wireless Communication Exploiting Statistical CSI
Top Cited Papers
Open Access
- 26 June 2019
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Vehicular Technology
- Vol. 68 (8), 8238-8242
- https://doi.org/10.1109/tvt.2019.2923997
Abstract
Large intelligent surface (LIS)-assisted wireless communications have drawn attention worldwide. With the use of low-cost LIS on building walls, signals can be reflected by the LIS and sent out along desired directions by controlling its phases, thereby providing supplementary links for wireless communication systems. In this study, we evaluate the performance of an LIS-assisted large-scale antenna system by formulating a tight approximation of the ergodic capacity and investigate the effect of the phase shifts on the ergodic capacity in different propagation scenarios. In particular, we propose an optimal phase shift design based on the ergodic capacity approximation and statistical channel state information. Furthermore, we derive the requirement on the quantization bits of the LIS to promise an acceptable capacity degradation. Numerical results show that using the proposed phase shift design can achieve the maximum ergodic capacity, and a 2-bit quantizer is sufficient to ensure capacity degradation of no more than 1 bit/s/Hz.Keywords
Funding Information
- National Science Foundation
- Distinguished Young Scholars of China (61625106)
- National Natural Science Foundation of China (61531011)
- Scientific Research Foundation of Graduate School of Southeast University (YBPY1860)
- Ministry of Science and Technology, Taiwan (MOST 107-2221-E-110-026)
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