Joint beamforming and power allocation for multi-IRS- assisted NOMA-SWIPT cooperative transmission model

doi:10.11772/j.issn.1001-9081.2024111643

Journal of Computer Applications ›› 2025, Vol. 45 ›› Issue (11): 3682-3691.DOI: 10.11772/j.issn.1001-9081.2024111643

• Network and communications • Previous Articles

Joint beamforming and power allocation for multi-IRS- assisted NOMA-SWIPT cooperative transmission model

Mengjia GE¹, Jing DAI², Yuchen LI¹, Lili PAN¹, Xiaorong JING²

^1.AVIC Chengdu Aircraft Industrial （Group） Corporation Limited，Chengdu Sichuan 610092，China
^2.School of Communications and Information Engineering，Chongqing University of Posts and Telecommunications，Chongqing 400065，China

Received:2024-11-20 Revised:2025-01-06 Accepted:2025-01-08 Online:2025-01-15 Published:2025-11-10
About author:DAI Jing， born in 1998， M. S. candidate. His research interests include IRS-assisted communication.
JING Xiaorong， born in 1974， Ph. D.， professor. His research interests include wireless communication signal processing.
Supported by:
National Natural Science Foundation of China(U23A20279)

面向多IRS辅助的NOMA-SWIPT协作传输模型的联合波束成形与功率分配

葛孟佳¹, 戴景², 李昱辰¹, 潘莉丽¹, 景小荣²

^1.航空工业成都飞机工业（集团）有限责任公司，成都 610092
^2.重庆邮电大学通信与信息工程学院，重庆 400065

作者简介:戴景（1998—），男，江西丰城人，硕士研究生，主要研究方向：IRS辅助通信
景小荣（1974—），男，甘肃平凉人，教授，博士，主要研究方向：无线通信信号处理。
基金资助:
国家自然科学基金资助项目(U23A20279)

Abstract

Abstract:

To address the challenges caused by the rapid development of the Fifth-Generation （5G） mobile Internet of Things （IoT）， including spectrum shortages， coverage blind zones， and power supply deficiencies， by integrating Intelligent Reflecting Surfaces （IRS）， Simultaneous Wireless Information and Power Transfer （SWIPT）， and Non-Orthogonal Multiple Access （NOMA） technologies， a multi-IRS-assisted NOMA-SWIPT cooperative transmission model was proposed. Based on this model， a non-convex optimization problem was formulated with the goal of maximizing system sum rate， and a two-stage joint beamforming （including active beamforming of base stations and passive beamforming of IRS） and power allocation optimization algorithm was then proposed to solve this problem. During the solution process， to decouple the variables to be optimized， a popular optimization method was first used to solve for the passive beamforming in the cooperative transmission phase. Then， the Block Coordinate Descent （BCD） algorithm was applied to decompose the non-convex problem into four sub-problems through alternating iteration， which were later solved using methods such as quadratic transformation and Successive Convex Approximation （SCA）. Simulation results show that compared with schemes of no SWIPT and Orthogonal Multiple Access （OMA）， the proposed cooperative transmission model and its corresponding optimization algorithm improves the system sum rate by approximately 0.5 bit·s^-1·Hz^-1 and 1.5 bit·s^-1·Hz^-1， respectively， and has more robust convergence characteristics.

Key words: Intelligent Reflecting Surfaces (IRS), Non-Orthogonal Multiple Access (NOMA), Simultaneous Wireless Information and Power Transfer (SWIPT), Block Coordinate Descent (BCD), Successive Convex Approximation (SCA)

摘要：

面对第五代（5G）移动物联网（IoT）快速发展所引起的频谱资源短缺、盲区覆盖及供能不足等挑战，融合智能反射表面（IRS）、无线携能通信（SWIPT）及非正交多址接入（NOMA）技术，提出一种多IRS辅助NOMA-SWIPT协作传输模型；并以此模型为基础，以最大化系统和速率为目标，构建一非凸优化问题，进而提出一种基于两阶段的联合波束成形（包括基站主动波束成形和IRS被动波束成形）和功率分配优化算法对此问题进行求解。在求解过程中，为了对待优化变量进行解耦，首先利用流行的优化方法对协作传输阶段的被动波束成形进行求解，其次利用块坐标下降（BCD）算法通过交替迭代将非凸问题拆解为4个子问题，进而利用二次变化、连续凸逼近（SCA）等方法求解这些子问题。仿真结果表明，与无SWIPT的方案和正交频分复用（OMA）等方案相比，所提协作传输模型及其优化算法的系统和速率分别提升约0.5 bit·s^-1·Hz^-1和1.5 bit·s^-1·Hz^-1，而且具有更稳健的收敛特性。

关键词: 智能反射表面, 非正交多址, 无线携能通信, 块坐标下降, 连续凸逼近

CLC Number:

TN929

Mengjia GE, Jing DAI, Yuchen LI, Lili PAN, Xiaorong JING. Joint beamforming and power allocation for multi-IRS- assisted NOMA-SWIPT cooperative transmission model[J]. Journal of Computer Applications, 2025, 45(11): 3682-3691.

葛孟佳, 戴景, 李昱辰, 潘莉丽, 景小荣. 面向多IRS辅助的NOMA-SWIPT协作传输模型的联合波束成形与功率分配[J]. 《计算机应用》唯一官方网站, 2025, 45(11): 3682-3691.

Figures/Tables 10

Fig. 1 Multi-IRS-assisted NOMA-SWIPT system model

Fig. 2 Time domain resource allocation

Fig. 3 Alternating optimization flow based on BCD algorithm

Tab. 1 Some parameter settings

参数名称	值
莱斯因子（ $κ$ ）	3
背景噪声功率（ $σ 2$ /dBm）	90
线性能量收割效率（ $η$ ）	0.7
BS到中心终端的路径损耗指数（ $a 1$ ）	1.8
BS到边缘终端的路径损耗指数（ $a 2$ ）	2.8
中心终端到边缘终端的路径损耗指数（ $a 3$ ）	1.6
BS到IRS的路径损耗指数（ $a 4$ ）	2
IRS到中心终端的路径损耗指数（ $a 5$ ）	2
IRS到边缘终端的路径损耗指数（ $a 6$ ）	2.2

Tab. 1 Some parameter settings

参数名称	值
莱斯因子（ $κ$ ）	3
背景噪声功率（ $σ 2$ /dBm）	90
线性能量收割效率（ $η$ ）	0.7
BS到中心终端的路径损耗指数（ $a 1$ ）	1.8
BS到边缘终端的路径损耗指数（ $a 2$ ）	2.8
中心终端到边缘终端的路径损耗指数（ $a 3$ ）	1.6
BS到IRS的路径损耗指数（ $a 4$ ）	2
IRS到中心终端的路径损耗指数（ $a 5$ ）	2
IRS到边缘终端的路径损耗指数（ $a 6$ ）	2.2

Fig. 4 System sum rate versus BS transmit power

Fig. 5 System sum rate versus number of IRS units

Fig. 6 System sum rate versus number of BS antennas

Fig. 7 System sum rate versus the minimum transmission rate of terminal

Fig. 8 Impact of distance between IRS and BS on system sum rate

Fig. 9 System sum rate versus of different transmission schemes versus iterations

References 18

[1]	DING Z， VINCENT POOR H. A simple design of IRS-NOMA transmission［J］. IEEE Communications Letters， 2020， 24（5）： 1119-1123.
[2]	PANG L， WU W， ZHANG Y， et al. Joint power allocation and hybrid beamforming for downlink mmWave-NOMA systems［J］. IEEE Transactions on Vehicular Technology， 2021， 70（10）： 10173-10184.
[3]	SUN X， YAN S， YANG N， et al. Downlink NOMA transmission for low-latency short-packet communications［C］// Proceedings of the 2018 IEEE International Conference on Communications Workshops. Piscataway： IEEE， 2018： 1-6.
[4]	NOROUZI S， CHAMPAGNE B， CAI Y. Joint optimization framework for user clustering， downlink beamforming， and power allocation in MIMO NOMA systems［J］. IEEE Transactions on Communications， 2023， 71（1）： 214-228.
[5]	CHEN L， HU B， XU G， et al. Energy-efficient power allocation and splitting for mmWave beamspace MIMO-NOMA with SWIPT［J］. IEEE Sensors Journal， 2021， 21（14）： 16381-16394.
[6]	XU Y， SHEN C， DING Z， et al. Joint beamforming and power-splitting control in downlink cooperative SWIPT NOMA systems［J］. IEEE Transactions on Signal Processing， 2017， 65（18）： 4874-4886.
[7]	TANG J， LUO J， LIU M， et al. Energy efficiency optimization for NOMA with SWIPT［J］. IEEE Journal of Selected Topics in Signal Processing， 2019， 13（3）： 452-466.
[8]	TANG J， YU Y， LIU M， et al. Joint power allocation and splitting control for SWIPT-enabled NOMA systems［J］. IEEE Transactions on Wireless Communications， 2020， 19（1）： 120-133.
[9]	COSTANZO A， MASOTTI D， PAOLINI G， et al. Evolution of SWIPT for the IoT world： near- and far-field solutions for simultaneous wireless information and power transfer［J］. IEEE Microwave Magazine， 2021， 22（12）： 48-59.
[10]	LI Z， CHEN W， WU Q， et al. Joint beamforming design and power splitting optimization in IRS-assisted SWIPT NOMA networks［J］. IEEE Transactions on Wireless Communications， 2022， 21（3）： 2019-2033.
[11]	WU Q， ZHANG R. Joint active and passive beamforming optimization for intelligent reflecting surface assisted SWIPT under QoS constraints［J］. IEEE Journal on Selected areas in Communications， 2020， 38（8）： 1735-1748.
[12]	LIU Q， LU M， LI N， et al. Joint beamforming and power splitting optimization for RIS-assisted cooperative SWIPT NOMA systems［C］// Proceedings of the 2022 IEEE Wireless Communications and Networking Conference. Piscataway： IEEE， 2022： 1-6.
[13]	LI Y， JIANG M， ZHANG Q， et al. Joint beamforming design in multi-cluster MISO NOMA reconfigurable intelligent surface-aided downlink communication networks［J］. IEEE Transactions on Communications， 2021， 69（1）： 664-674.
[14]	XIE X， FANG F， DING Z. Joint optimization of beamforming， phase-shifting and power allocation in a multi-cluster IRS-NOMA network［J］. IEEE Transactions on Vehicular Technology， 2021， 70（8）： 7705-7717.
[15]	李昱辰，巫峻译，葛孟佳，等.RIS辅助的多簇NOMA-DFRC系统中的联合波束成形与功率分配［J］.计算机应用，2025，45（4）： 1256-1262.
	LI Y C， WU J Y， GE M J， et al. Joint beamforming and power allocation in RIS-assisted multi-cluster NOMA-DFRC system［J］. Journal of Computer Applications， 2025， 45（4）： 1256-1262.
[16]	WU S， GUO C， DENG Z， et al. Optimizing age of information in adaptive NOMA/OMA/cooperative-SWIPT-NOMA system［J］. IEEE Transactions on Wireless Communications， 2022， 21（12）： 11125-11138.
[17]	SHEN K， YU W. Fractional programming for communication systems — part Ⅱ： uplink scheduling via matching［J］. IEEE Transactions on Signal Processing， 2018， 66（10）： 2631-2644.
[18]	SHEN K， YU W. Fractional programming for communication systems — part Ⅰ： power control and beamforming［J］. IEEE Transactions on Signal Processing， 2018， 66（10）： 2616-2630.

Joint beamforming and power allocation for multi-IRS- assisted NOMA-SWIPT cooperative transmission model

面向多IRS辅助的NOMA-SWIPT协作传输模型的联合波束成形与功率分配

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