Treffer: Reconfigurable Intelligent Surface Empowered Underlaying Device-to-Device Communication

Title:
Reconfigurable Intelligent Surface Empowered Underlaying Device-to-Device Communication
Authors:
Yang, Gang, Liao, Yating, Liang, Ying Chang, Tirkkonen, Olav
Contributors:
Department of Communications and Networking, Communications Theory, University of Electronic Science and Technology of China, Aalto-yliopisto, Aalto University
Source:
2021 IEEE Wireless Communications and Networking Conference (WCNC). :1-6
Publisher Information:
IEEE, 2021.
Publication Year:
2021
Subject Terms:
Passive beamforming, 0508 media and communications, ta213, Iterative algorithm, 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, Power allocation, Reconfigurable intelligent surfaces, 02 engineering and technology, Device-to-device communication, 12. Responsible consumption
Document Type:
Fachzeitschrift Article<br />Conference object
File Description:
application/pdf
DOI:
10.1109/wcnc49053.2021.9417307
Access URL:
https://arxiv.org/pdf/2006.02103
https://arxiv.org/abs/2006.02103
https://dblp.uni-trier.de/db/journals/corr/corr2006.html#abs-2006-02103
https://aaltodoc.aalto.fi/handle/123456789/113868
Rights:
IEEE Copyright
Accession Number:
edsair.doi.dedup.....8aaf1fd62b90b744d8af78c388519b5f
Database:
OpenAIRE

Weitere Informationen

Reconfigurable intelligent surfaces (RIS) are a new and revolutionary technology to achieve spectrum-, energy- and cost-efficient wireless networks. This paper studies the resource allocation for RIS-empowered device-to-device (D2D) communication underlaying a cellular network, in which an RIS is employed to enhance desired signals and suppress interference between paired D2D and cellular links. We maximize the sum rate of D2D users and cellular users by jointly optimizing the resource reuse indicators, the transmit power and the RIS’s passive beamforming. To solve the formulated non-convex problem, we first propose an efficient user-pairing scheme based on relative channel strength to determine the resource reuse indicators. Then, the transmit power and the RIS’s passive beamforming are jointly optimized by an iterative algorithm, based on the techniques of alternating optimization, successive convex approximation, Lagrangian dual transform and quadratic transform. Numerical results show that the proposed design outperforms the traditional D2D network without RIS.