Resource Allocation and 3D Trajectory Design for Power-Efficient IRS-Assisted UAV-NOMA Communications

被引:56
作者
Cai, Yuanxin [1 ,2 ]
Wei, Zhiqiang [3 ,4 ]
Hu, Shaokang [2 ]
Liu, Chang [2 ]
Ng, Derrick Wing Kwan [2 ]
Yuan, Jinhong [2 ]
机构
[1] Beijing Informat Sci & Technol Univ, Key Lab Informat & Commun Syst, Minist Informat Ind, Beijing 100101, Peoples R China
[2] Univ New South Wales, Sch Elect Engn & Telecommun, Sydney, NSW 2052, Australia
[3] Xi An Jiao Tong Univ, Sch Math & Stat, Xian 710049, Peoples R China
[4] Friedrich Alexander Univ Erlangen Nuremberg FAU, Inst Digital Commun, D-91054 Erlangen, Germany
基金
澳大利亚研究理事会; 中国国家自然科学基金;
关键词
Unmanned aerial vehicle (UAV); intelligent reflecting surface (IRS); resource allocation; energy efficiency; non-orthogonal multiple access (NOMA); INTELLIGENT REFLECTING SURFACE; CHANNEL ESTIMATION; WIRELESS NETWORK; OPTIMIZATION; PERFORMANCE; SYSTEMS;
D O I
10.1109/TWC.2022.3183300
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, an intelligent reflecting surface (IRS) is introduced to assist an unmanned aerial vehicle (UAV) communication system based on non-orthogonal multiple access (NOMA) for serving multiple ground users. We aim to minimize the average total system energy consumption by jointly designing the resource allocation strategy, the three dimensional (3D) trajectory of the UAV, as well as the phase control at the IRS. The design is formulated as a non-convex optimization problem taking into account the maximum tolerable outage probability constraint and the individual minimum data rate requirement. To circumvent the intractability of the design problem due to the altitude-dependent Rician fading in UAV-to-user links, we adopt the deep neural network (DNN) approach to accurately approximate the corresponding effective channel gains, which facilitates the development of a low-complexity suboptimal iterative algorithm via dividing the formulated problem into two subproblems and address them alternatingly. Numerical results demonstrate that the proposed algorithm can converge to an effective solution within a small number of iterations and illustrate some interesting insights: (1) IRS enables a highly flexible UAV's 3D trajectory design via recycling the dissipated radio signal for improving the achievable system data rate and reducing the flight power consumption of the UAV; (2) IRS provides a rich array gain through passive beamforming in the reflection link, which can substantially reduce the required communication power for guaranteeing the required quality-of-service (QoS); (3) Optimizing the altitude of UAV's trajectory can effectively exploit the outage-guaranteed effective channel gain to save the total required communication power enabling power-efficient UAV communications; (4) NOMA communications offer higher degrees of freedom (DoF) than that of the conventional orthogonal multiple access (OMA) scheme to minimize the average power consumption via optimizing the UAV's trajectory.
引用
收藏
页码:10315 / 10334
页数:20
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