Joint Beamforming Optimization for RIS-Assisted Dual-Functional Radar-Communication Systems
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摘要: 双功能雷达通信系统(DFRC)是有效解决未来网络频谱资源拥挤问题的理想技术之一，该文引入了可重构智能表面(RIS)技术，旨在提升用户的加权和速率和系统的探测性能。首先在雷达功率约束和可重构智能表面的恒定模约束以及通信的整体功率预算下，构建了通信用户的加权和速率和系统探测性能最大化的优化模型。通过联合优化基站的主动波束和可重构智能表面的无源被动波束形成，该文设计了一种有效的基于加权最小均方误差、分式规划和流形优化的交替优化算法，将非凸优化问题转化为两个子问题并利用迭代进行求解。仿真结果表明，所提方案对解决该问题的有效性和对用户加权和速率在较低迭代次数下达到收敛，并且可使用户的加权和速率上限提升0.86 bit/(s·Hz)和使系统探测更具方向性。Abstract: Dual-functional Radar-Communication Systems (DFRC) is one of the ideal technologies to effectively solve the problem of network spectrum resource congestion in the future, in this paper, Reconfigurable Intelligent Surface (RIS) technology is introduced to improve the weighted sum rate of users and the detection performance of the system. First, under the radar power constraint, the constant mode constraint of reconfigurable intelligent surface and the overall power budget of communication, an optimization model is built to maximize the weighted sum rate of communication users and the detection performance of the system. By jointly optimizing the active beam of the base station and the passive beam forming of the reconfigurable intelligent surface, an effective alternative optimization algorithm based on weighted least mean square error, fractional programming and manifold optimization is designed. The non-convex optimization problem is transformed into two subproblems and solved by iteration. The simulation results show that the proposed scheme is effective in solving the problem and the user weighted sum rate converges at a lower number of iterations, and it can increase the user's weighted sum rate upper limit by 0.86 bit/(s·Hz) and make the system detection more directional.
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[1] BROWN P. 75.4 Billion devices connected to the internet of things by 2025[EB/OL]. https://electronics360.globalspec.com/article/6551/75.4 billion devices connected to the internet of things by 2025.2022.9, 2016. [2] LIU Fan, MASOUROS C, PETROPULU A P, et al. Joint radar and communication design: Applications, state-of-the-art, and the road ahead[J]. IEEE Transactions on Communications, 2020, 68(6): 3834–3862. doi: 10.1109/TCOMM.2020.2973976 [3] PAUL B, CHIRIYATH A R, and BLISS D W. Survey of RF communications and sensing convergence research[J]. IEEE Access, 2017, 5: 252–270. doi: 10.1109/ACCESS.2016.2639038 [4] HASSANIEN A, AMIN M G, ZHANG Y D, et al. Signaling strategies for dual-function radar communications: An overview[J]. IEEE Aerospace and Electronic Systems Magazine, 2016, 31(10): 36–45. doi: 10.1109/MAES.2016.150225 [5] CHIRIYATH Alex R, PAUL Bryan, BLISS Daniel W. Radar-Communications Convergence: Coexistence, Cooperation, and Co-Design[J]. IEEE Transactions on Cognitive Communications and Networking, 2017, 3(1): 1–12. doi: 10.1109/TCCN.2017.2666266 [6] BLUNT S D, YATHAM P, and STILES J. Intrapulse radar-embedded communications[J]. IEEE Transactions on Aerospace and Electronic Systems, 2010, 46(3): 1185–1200. doi: 10.1109/TAES.2010.5545182 [7] BLUNT S D, METCALF J G, BIGGS C R, et al. Performance characteristics and metrics for intra-pulse radar-embedded communication[J]. IEEE Journal on Selected Areas in Communications, 2011, 29(10): 2057–2066. doi: 10.1109/JSAC.2011.111215 [8] CIUONZO D, DE MAIO A, FOGLIA G, et al. Intrapulse radar-embedded communications via multiobjective optimization[J]. IEEE Transactions on Aerospace and Electronic Systems, 2015, 51(4): 2960–2974. doi: 10.1109/TAES.2015.140821 [9] HASSANIEN A, AMIN M G, ABOUTANIOS E, et al. Dual-function radar communication systems: A solution to the spectrum congestion problem[J]. IEEE Signal Processing Magazine, 2019, 36(5): 115–126. doi: 10.1109/MSP.2019.2900571 [10] HASSANIEN A, HIMED B, and AMIN M G. Transmit/receive beamforming design for joint radar and communication systems[C]. 2018 IEEE Radar Conference, Oklahoma City, USA, 2018: 1481–1486. [11] WU Qingqing, ZHANG Shuowen, ZHENG Beixiong, et al. Intelligent reflecting surface-aided wireless communications: A tutorial[J]. IEEE Transactions on Communications, 2021, 69(5): 3313–3351. doi: 10.1109/TCOMM.2021.3051897 [12] LU Wei, DENG Bin, FANG Qiqing, et al. Intelligent reflecting surface-enhanced target detection in MIMO radar[J]. IEEE Sensors Letters, 2021, 5(2): 7000304. doi: 10.1109/LSENS.2021.3052753 [13] LIU Rang, LI Ming, LIU Yang, et al. Joint transmit waveform and passive beamforming design for RIS-aided DFRC systems[J]. IEEE Journal of Selected Topics in Signal Processing, 2022, 16(5): 995–1010. doi: 10.1109/JSTSP.2022.3172788 [14] WANG Xinyi, FEI Zesong, ZHENG Zhong, et al. Joint waveform design and passive beamforming for RIS-assisted dual-functional radar-communication system[J]. IEEE Transactions on Vehicular Technology, 2021, 70(5): 5131–5136. doi: 10.1109/TVT.2021.3075497 [15] GUO Huayan, LIANG Yingchang, CHEN Jie, et al. Weighted sum-rate maximization for intelligent reflecting surface enhanced wireless networks[C]. 2019 IEEE Global Communications Conference, Waikoloa, USA, 2019: 1–6. [16] STOICA P, LI Jian, and XIE Yao. On probing signal design for MIMO radar[J]. IEEE Transactions on Signal Processing, 2007, 55(8): 4151–4161. doi: 10.1109/TSP.2007.894398 [17] CHRISTENSEN S S, AGARWAL R, DE CARVALHO E, et al. Weighted sum-rate maximization using weighted MMSE for MIMO-BC beamforming design[C]. 2009 IEEE International Conference on Communications, Dresden, Germany, 2009: 1–6. [18] XU Chengcheng, CLERCKX B, ZHANG Jianyun, et al. Multi-antenna joint radar and communications: Precoder optimization and weighted sum-rate vs probing power tradeoff[J]. IEEE Access, 2020, 8: 173974–173982. doi: 10.1109/ACCESS.2020.3025156 [19] SHEN Kaiming and YU Wei. Fractional programming for communication systems—Part I: Power control and beamforming[J]. IEEE Transactions on Signal Processing, 2018, 66(10): 2616–2630. doi: 10.1109/TSP.2018.2812733 [20] LIU Rang, LI Ming, LIU Qian, et al. Joint symbol-level precoding and reflecting designs for IRS-enhanced MU-MISO systems[J]. IEEE Transactions on Wireless Communications, 2021, 20(2): 798–811. doi: 10.1109/TWC.2020.3028371 [21] WU Qingqing and ZHANG Rui. Intelligent reflecting surface enhanced wireless network via joint active and passive beamforming[J]. IEEE Transactions on Wireless Communications, 2019, 18(11): 5394–5409. doi: 10.1109/TWC.2019.2936025 -
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