Transmit and Reflect Beamforming for Max-Min SINR in IRS-Aided MIMO Vehicular Networks

6G vehicular networks will require massive connectivity among vehicles and Road Side Units (RSUs) to enable number of safety and non-safety applications. Intelligent Reflecting Surface (IRS) will be a vital part of 6G vehicular networks, providing features such as enhanced line of sight communication, extended coverage range and high data rate transmission. In this paper, we consider a multiple IRSs assisted multi-vehicle Multiple-Input Multiple-Output (MIMO) communication system and optimize the transmit beamforming vectors at the transmitter and reflect beamforming (phase shifts) at each IRS to achieve max-min Quality of Service (QoS) in the form of weighted Signal-to-Interference-Plus-Noise Ratio (SINR). In particular, we divide the optimization problem into two Semidefinite Relaxation (SDR) sub-problems and solve them iteratively using the alternate optimization technique. Simulation results show that the proposed technique significantly increases the sum-rate and SINR of the vehicular network.

[1]  Sherali Zeadally,et al.  Energy-Efficient Fog Computing for 6G-Enabled Massive IoT: Recent Trends and Future Opportunities , 2022, IEEE Internet of Things Journal.

[2]  Miltiadis D. Lytras,et al.  A Fine-Grained Access Control and Security Approach for Intelligent Vehicular Transport in 6G Communication System , 2022, IEEE Transactions on Intelligent Transportation Systems.

[3]  Xiongwen Zhao,et al.  Joint 3D-Location Planning and Resource Allocation for XAPS-Enabled C-NOMA in 6G Heterogeneous Internet of Things , 2021, IEEE Transactions on Vehicular Technology.

[4]  Shaohua Wan,et al.  FedCPF: An Efficient-Communication Federated Learning Approach for Vehicular Edge Computing in 6G Communication Networks , 2021, IEEE Transactions on Intelligent Transportation Systems.

[5]  Chengwen Xing,et al.  Beamforming Optimization for Intelligent Reflecting Surface-Aided SWIPT IoT Networks Relying on Discrete Phase Shifts , 2021, IEEE Internet of Things Journal.

[6]  Sherali Zeadally,et al.  AI-Empowered Content Caching in Vehicular Edge Computing: Opportunities and Challenges , 2021, IEEE Network.

[7]  Lei Guo,et al.  Extensive Edge Intelligence for Future Vehicular Networks in 6G , 2021, IEEE Wireless Communications.

[8]  Zhou Su,et al.  Secure and Personalized Edge Computing Services in 6G Heterogeneous Vehicular Networks , 2021, IEEE Internet of Things Journal.

[9]  H. Poor,et al.  A Tutorial on Ultrareliable and Low-Latency Communications in 6G: Integrating Domain Knowledge Into Deep Learning , 2021, Proceedings of the IEEE.

[10]  Keping Yu,et al.  Attribute-Based Encryption With Parallel Outsourced Decryption for Edge Intelligent IoV , 2020, IEEE Transactions on Vehicular Technology.

[11]  Kun Yang,et al.  Multiple Intelligent Reflecting Surfaces Assisted Cell-Free MIMO Communications , 2020, 2009.13899.

[12]  Octavia A. Dobre,et al.  Robust Design for Intelligent Reflecting Surface Assisted MIMO-OFDMA Terahertz Communications , 2020, ArXiv.

[13]  Changsheng You,et al.  Intelligent Reflecting Surface-Aided Wireless Communications: A Tutorial , 2020, IEEE Transactions on Communications.

[14]  Choong Seon Hong,et al.  Asymptotic Optimality of Reconfigurable Intelligent Surfaces: Passive Beamforming and Achievable Rate , 2020, ICC 2020 - 2020 IEEE International Conference on Communications (ICC).

[15]  M. Shamim Hossain,et al.  Multi-Aspect Aware Session-Based Recommendation for Intelligent Transportation Services , 2020, IEEE Transactions on Intelligent Transportation Systems.

[16]  Xu Bao,et al.  Outage Analysis for Intelligent Reflecting Surface Assisted Vehicular Communication Networks , 2020, GLOBECOM 2020 - 2020 IEEE Global Communications Conference.

[17]  Sherali Zeadally,et al.  Vehicular Communications for ITS: Standardization and Challenges , 2020, IEEE Communications Standards Magazine.

[18]  Ya-Feng Liu,et al.  Max-Min Fairness in IRS-Aided Multi-Cell MISO Systems With Joint Transmit and Reflective Beamforming , 2020, IEEE Transactions on Wireless Communications.

[19]  Erik G. Larsson,et al.  Weighted Sum-Rate Maximization for Reconfigurable Intelligent Surface Aided Wireless Networks , 2019, IEEE Transactions on Wireless Communications.

[20]  Zhi Chen,et al.  Channel Estimation and Transmission for Intelligent Reflecting Surface Assisted THz Communications , 2019, ICC 2020 - 2020 IEEE International Conference on Communications (ICC).

[21]  M. Renzo,et al.  Channel Capacity Optimization Using Reconfigurable Intelligent Surfaces in Indoor mmWave Environments , 2019, ICC 2020 - 2020 IEEE International Conference on Communications (ICC).

[22]  Jun Fang,et al.  Intelligent Reflecting Surface-Assisted Millimeter Wave Communications: Joint Active and Passive Precoding Design , 2019, IEEE Transactions on Vehicular Technology.

[23]  Jun Zhao,et al.  Optimizations with Intelligent Reflecting Surfaces (IRSs) in 6G Wireless Networks: Power Control, Quality of Service, Max-Min Fair Beamforming for Unicast, Broadcast, and Multicast with Multi-antenna Mobile Users and Multiple IRSs , 2019, ArXiv.

[24]  Lajos Hanzo,et al.  Multicell MIMO Communications Relying on Intelligent Reflecting Surfaces , 2019, IEEE Transactions on Wireless Communications.

[25]  Ruslan Salakhutdinov,et al.  Integrating Domain-Knowledge into Deep Learning , 2019, KDD.

[26]  Mohamed-Slim Alouini,et al.  Intelligent Reflecting Surface-Assisted Multi-User MISO Communication: Channel Estimation and Beamforming Design , 2019, IEEE Open Journal of the Communications Society.

[27]  Junaid Qadir,et al.  Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and the Way Forward , 2019, IEEE Communications Surveys & Tutorials.

[28]  Wei Chen,et al.  The Roadmap to 6G: AI Empowered Wireless Networks , 2019, IEEE Communications Magazine.

[29]  M. Debbah,et al.  Asymptotic Max-Min SINR Analysis of Reconfigurable Intelligent Surface Assisted MISO Systems , 2019, IEEE Transactions on Wireless Communications.

[30]  Walid Saad,et al.  A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems , 2019, IEEE Network.

[31]  Bin Li,et al.  UAV Communications for 5G and Beyond: Recent Advances and Future Trends , 2019, IEEE Internet of Things Journal.

[32]  Xiaodai Dong,et al.  Terahertz Communication for Vehicular Networks , 2017, IEEE Trans. Veh. Technol..

[33]  Zhi-Quan Luo,et al.  Distributed Beamforming for Relay Networks Based on Second-Order Statistics of the Channel State Information , 2008, IEEE Transactions on Signal Processing.

[34]  Nikos D. Sidiropoulos,et al.  Quality of Service and Max-Min Fair Transmit Beamforming to Multiple Cochannel Multicast Groups , 2008, IEEE Transactions on Signal Processing.

[35]  Nikos D. Sidiropoulos,et al.  Transmit beamforming for physical-layer multicasting , 2006, IEEE Transactions on Signal Processing.

[36]  White Paper 5G Evolution and 6G , 2020 .