Download PDFOpen PDF in browserDynamic Spectrum Management for Cache-Based V2V Broadcasting in Spectrum-Congested Metropolitan CitiesEasyChair Preprint 1305612 pages•Date: April 20, 2024AbstractIn densely populated metropolitan cities, the proliferation of wireless communication technologies has led to an unprecedented demand for spectrum resources, posing significant challenges for Vehicle-to-Vehicle (V2V) broadcasting systems. This abstract explores the concept of dynamic spectrum management as a means to overcome spectrum congestion and optimize cache-based V2V broadcasting in urban environments. The abstract begins by addressing the spectrum scarcity issue prevalent in metropolitan areas, exacerbated by the proliferation of diverse wireless applications and services. It underscores the importance of efficient spectrum utilization for ensuring reliable and high-performance V2V communication. Next, the abstract introduces dynamic spectrum management as a solution to mitigate spectrum congestion and enhance the efficiency of V2V broadcasting systems. Dynamic spectrum management techniques enable the adaptive allocation of spectrum resources based on real-time demand and network conditions, facilitating optimal utilization of available frequencies. The abstract discusses how dynamic spectrum management can be integrated with cache-based V2V broadcasting architectures to enhance system performance. By dynamically allocating spectrum resources to prioritize critical V2V communication tasks, such as emergency alerts and traffic safety messages, dynamic spectrum management ensures reliable and timely dissemination of information in spectrum-congested urban environments. Keyphrases: Cache-based V2V broadcasting, Dynamic Spectrum Management, Spectrum Resources, Spectrum Scarcity, Spectrum Sharing Protocols, Spectrum-congested Metropolitan Cities, Wireless Communication Technologies, emergency alerts, interference mitigation, network conditions, real-time demand, reliable communication, robust solutions, spectrum allocation, spectrum sensing, spectrum utilization, traffic efficiency, traffic safety messages
|