Advanced Spectrum Management For Next-Generation Vehicular Communication: An AI Approach

In the era of explosive growth of multimedia applications and services, with the onset of new autonomous vehicular technology demands and the demand on limited spectrum resources, the future presents an excellent opportunity for telecom, automotive, IoT and OEM industry. This opportunity requires an advanced management of available spectrum and a new mindset amongst wireless service providers that calls for reallocation of available spectrum resources to reposition them in the next-generation vehicular networking technology market. As far as innovation in vehicular technology, the business showcase with autonomous vehicles demands new approaches for their integration into contemporary vehicular communication network. The communication establishment among autonomous vehicles for long period with very little delay poses a formidable challenge. The paper proposes a decentralized approach to spectrum management amongst multiple operators. Each operator collects and evaluates data about autonomous vehicle user and manages spectrum allocation independently. So, the objective is to create an algorithm for optimal spectrum utilization and synchronization with other operators. This paper proposes an AI-based, linear programming and game-theoretic approach to cooperation between, and distributed spectrum management by, multiple wireless service providers (WSPs'). This paper explores the need for such a system that employs a suitable artificial intelligence mechanism that may provide a better solution to the problem of spectrum management.