Supun Karunarathna, Shalitha Wijethilaka, Pasika Ranaweera, Kasun T. Hemachandra, Tharaka Samarasinghe, Madhusanka Liyanage
Journal
IEEE Access , vol. 11 , pp. 25502-25530 · 2023 · Cited by 77
Mobile and Next-Generation NetworksNetwork Optimization and Intelligence
Abstract
Metaverse is the latest technological hype in the modern world due to its potential for revolutionizing the digital visual perspective. With the COVID-19 pandemic, most industries have moved towards digitization, and the metaverse is identified as one of the most promising platforms for such a transition, as it provides a three-dimensional (3D) immersive experience for the users. Currently, most digital service providers and organizations are actively working on metaverse- based applications. In addition, there has been a rapid increase on research work involving metaverse realization. Launching a large scale metaverse in the real world is a challenging task. However, fifth-generation (5G) and beyond 5G (B5G) technologies are envisioned to improve the feasibility of pragmatic deployments. Although, there are several conceptual designs available, actual adaptations of the concepts are still limited. This survey …
Tharaka Samarasinghe, Jussi Haapola
Conference
IEEE Transactions on Intelligent Transportation Systems , vol. 24(12) , pp. 15328-15333 · 2023 · Cited by 7
Wireless CommunicationsMobile and Next-Generation NetworksIntelligent Transportation Systems
Abstract
Prioritization of data streams in cellular vehicle-to-everything (C-V2X) may lead to unfavorable packet delays in low-priority streams. This paper studies allocating multiple candidate single-subframe resources (CSRs) per vehicle as a solution. It proposes a methodology to determine the number of CSRs for each vehicle based on the total number of neighboring vehicles, and to assign the multiple data streams among them for simultaneous transmission. The numerical results highlight the achievable delay gains of the proposed approach, and its negligible impact on packet collisions.
