A Collaborative Optimization Scheme for Beamforming and Power Control in MIMO-Based Internet of Vehicles

Haifeng Tang, Fan Ding, Haitao Zhao (), Jingyi Wu and Xinyi Hui
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Haifeng Tang: School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
Fan Ding: School of Communications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
Haitao Zhao: School of Communications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
Jingyi Wu: School of Communications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
Xinyi Hui: School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing 210003, China

Mathematics, 2025, vol. 13, issue 18, 1-12

Abstract: Driven by advancements in communication technology, the Internet of Vehicles (IoV) has gained significant importance. Its capability for real-time information exchange and processing substantially enhances data transmission performance within multi-node distributed systems. Among core physical layer transmission technologies, beamforming and power allocation are crucial for optimizing system efficiency. However, the real-time joint optimization of the transmitter, receiver, and power allocation in MIMO-based IoV systems remains insufficiently addressed in existing research. To bridge this gap, this paper proposes a framework for the real-time joint optimization of beamforming and power allocation, aiming to maximize transmission efficiency while satisfying constant modulus constraints and power limitations. The proposed framework decomposes the problem and utilizes the CVX library to obtain a local optimum for the joint scheme. The simulation results show that compared with traditional beamforming methods, this scheme has better performance in multiple indicators, increasing the transmission rate of the system by 43%, having faster convergence speed, and improving spectral efficiency. Thus, this study achieves real-time joint optimization of MIMO beamforming and power allocation for IoV scenarios, providing crucial technical support for related designs.

Keywords: Internet of Vehicles; maximization of information reception sum rate; joint optimization scheme; beamforming (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2025
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