Energy-Efficient Design of IRS-NOMA Networks

Combining intelligent reflecting surface (IRS) and non-orthogonal multiple access (NOMA) is an effective solution to enhance communication coverage and energy efficiency. In this paper, we focus on an IRS-assisted NOMA network and propose an energy-efficient algorithm to yield a good tradeoff between the sum-rate maximization and total power consumption minimization. We aim to maximize the system energy efficiency by jointly optimizing the transmit beamforming at the BS and the reflecting beamforming at the IRS. Specifically, the transmit beamforming and the phases of the low-cost passive elements on the IRS are alternatively optimized until the convergence. Simulation results demonstrate that the proposed algorithm in IRS-NOMA can yield superior performance compared with the conventional OMA-IRS and NOMA with a random phase IRS.

[1]  Jiaru Lin,et al.  Exploiting Intelligent Reflecting Surfaces in Multi-Antenna Aided NOMA Systems. , 2019, 1910.13636.

[2]  Arthur Sousa de Sena,et al.  What Role Do Intelligent Reflecting Surfaces Play in Non-Orthogonal Multiple Access? , 2020 .

[3]  Kai Yang,et al.  Energy-Efficient Base Station Association and Beamforming for Multi-Cell Multiuser Systems , 2020, IEEE Transactions on Wireless Communications.

[4]  Jianyue Zhu,et al.  Power Efficient IRS-Assisted NOMA , 2019, IEEE Transactions on Communications.

[5]  Mohamed-Slim Alouini,et al.  Smart radio environments empowered by reconfigurable AI meta-surfaces: an idea whose time has come , 2019, EURASIP Journal on Wireless Communications and Networking.

[6]  Rui Zhang,et al.  Towards Smart and Reconfigurable Environment: Intelligent Reflecting Surface Aided Wireless Network , 2019, IEEE Communications Magazine.

[7]  George K. Karagiannidis,et al.  On the Application of Quasi-Degradation to MISO-NOMA Downlink , 2016, IEEE Transactions on Signal Processing.

[8]  Rui Zhang,et al.  Intelligent Reflecting Surface-Assisted Multiple Access With User Pairing: NOMA or OMA? , 2020, IEEE Communications Letters.

[9]  Victor C. M. Leung,et al.  Energy-Efficient Resource Allocation for Downlink Non-Orthogonal Multiple Access Network , 2016, IEEE Transactions on Communications.

[10]  Chau Yuen,et al.  Reconfigurable Intelligent Surfaces for Energy Efficiency in Wireless Communication , 2018, IEEE Transactions on Wireless Communications.

[11]  Daniel Pérez Palomar,et al.  Rank-Constrained Separable Semidefinite Programming With Applications to Optimal Beamforming , 2010, IEEE Transactions on Signal Processing.

[12]  Nan Yang,et al.  Non-Orthogonal Multiple Access: Achieving Sustainable Future Radio Access , 2019, IEEE Communications Magazine.

[13]  Qingqing Wu,et al.  Intelligent Reflecting Surface Enhanced Wireless Network via Joint Active and Passive Beamforming , 2018, IEEE Transactions on Wireless Communications.

[14]  Mohamed-Slim Alouini,et al.  Smart Radio Environments Empowered by AI Reconfigurable Meta-Surfaces: An Idea Whose Time Has Come , 2019, ArXiv.

[15]  Ying-Chang Liang,et al.  Intelligent Reflecting Surface Assisted Non-Orthogonal Multiple Access , 2019, 2020 IEEE Wireless Communications and Networking Conference (WCNC).

[16]  Alister G. Burr,et al.  Energy Efficient Beamforming Design for MISO Non-Orthogonal Multiple Access Systems , 2019, IEEE Transactions on Communications.