Journal
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
Volume 39, Issue 10, Pages 3051-3066Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSAC.2021.3088679
Keywords
NOMA; Optimization; Interference; Decoding; Wireless communication; Trajectory; Three-dimensional displays; Intelligent reflecting surfaces; non-orthogonal multiple access; placement optimization; unmanned aerial vehicles
Funding
- Beijing Natural Science Foundation [L192032]
- National Key Research and Development Program of China [2019YFB1406500]
- Key Project Plan of Blockchain in Ministry of Education of the People's Republic of China [2020KJ010802]
- Shandong Province Key Research and Development Program, China [2019JZZY020901]
- National Natural Science Foundation of China [61771066]
- U.S. National Science Foundation [CCF-1908308]
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The study investigates intelligent reflecting surface (IRS) enhanced multi-unmanned aerial vehicle (UAV) non-orthogonal multiple access (NOMA) networks, proposes a new transmission framework, and develops a block coordinate descent (BCD)-based iterative algorithm. Optimization of UAV placement, IRS reflection matrix, and NOMA decoding orders maximizes the total rate of the network.
Intelligent reflecting surface (IRS) enhanced multi-unmanned aerial vehicle (UAV) non-orthogonal multiple access (NOMA) networks are investigated. A new transmission framework is proposed, where multiple UAV-mounted base stations employ NOMA to serve multiple groups of ground users with the aid of an IRS. The three-dimensional (3D) placement and transmit power of UAVs, the reflection matrix of the IRS, and the NOMA decoding orders among users are jointly optimized for maximization of the sum rate of considered networks. To tackle the formulated mixed-integer non-convex optimization problem with coupled variables, a block coordinate descent (BCD)-based iterative algorithm is developed. Specifically, the original problem is decomposed into three subproblems, which are alternately solved by exploiting the penalty-based method and the successive convex approximation technique. The proposed BCD-based algorithm is demonstrated to be able to obtain a stationary point of the original problem with polynomial time complexity. Numerical results show that: 1) the proposed NOMA-IRS scheme for multi-UAV networks achieves a higher sum rate compared to the benchmark schemes, i.e., orthogonal multiple access (OMA)-IRS and NOMA without IRS; 2) the use of IRS is capable of providing performance gain for multi-UAV networks by both enhancing channel qualities of UAVs to their served users and mitigating the inter-UAV interference; and 3) optimizing the UAV placement can make the sum rate gain brought by NOMA more distinct due to the flexible decoding order design.
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