Periodic Reporting for period 1 - SwiftV2X (Smart mmWave and MultiRATs for Multihop Vehicle-to-Everything (V2X) Communications in Connected and Autonomous Vehicles)
Período documentado: 2021-12-01 hasta 2023-11-30
The push for improved driving experience, including the ultimate goal of driverless vehicles, has fueled the development of Connected and Autonomous Vehicles (CAVs). Connectivity is an important enabler for CAVs, as it allows for autonomous vehicles to directly participate in the intelligent transportation system (ITS) and make collective intelligent decisions. 5G mobile networks play an important role in providing vehicular connectivity as mobile networks support mobility by default. However, the density of vehicles is high in urban areas that poses challenges for the support from mobile networks. Deploying ultra-dense small cells using millimetre wave (mmWave) communication is one promising solution since ultra-dense small cells deployment addresses the network capacity and mmWave addresses the interference arisen from the dense deployment. However, due to the relatively narrow footprint of a mmWave beam, using mmWave communication for fast moving vehicles requires careful allocation to utilise its potential and avoid selfishness in radio resource usage. This project sets an ambitious goal of designing smart and dynamic algorithms to manage mmWave beam allocations in CAV environments. The project first investigates solely on the mmWave beam allocations and proposes smart algorithm using both traditional optimisation technique for benchmarking and modern machine learning algorithms for practical operation. It then studies the radio resource allocation under multi radio access technologies (multiRATs) that is the likely deployment setup before the full mmWave small cell networks become practical in the future. Finally, our study is extended to vehicle-to-vehicle communication using mmWave that can support delay sensitive message exchanges and range extension. As experimentation needs expensive infrastructure, the foreseen secondments offer partners without infrastructure on their premises to test their design on other partners that possess the infrastructure.
SwiftV2X project sets an ambitious goal of designing smart and dynamic algorithms to manage mmWave beam allocations in CAV environments. The project first investigates solely on the mmWave beam allocations and proposes smart algorithm using both traditional optimisation technique for benchmarking and modern machine learning algorithms for practical operation. It then studies the radio resource allocation under multi radio access technologies (multiRATs) that is the likely deployment setup before the full mmWave small cell networks become practical in the future. Finally, our study is extended to vehicle-tovehicle communication using mmWave that can support delay sensitive message exchanges and range extension. As experimentation needs expensive infrastructure, the foreseen secondments offer partners without infrastructure on their premises to test their design on other partners that possess the infrastructure.
SwiftV2X project has being severely affected by COVID-19, especially during 2021 and 2022, due to the pandemic breakout situation. The most critical point during the reporting period has been realizing the planned secondments, many of them have been postponed due to researchers hesitating to travel overseas (even after the situation becoming stable and normal).
SwiftV2X project has being severely affected by COVID-19, especially during 2021 and 2022, due to the pandemic breakout situation. The most critical point during the reporting period has been realizing the planned secondments, many of them have been postponed due to researchers hesitating to travel overseas (even after the situation becoming stable and normal).
To adequately support vehicular communications, mmWave small cells must provide low latency communications for traffic related critical messaging as well as high data rate communications for infotainment services. The various vehicular communication applications demanding different service requirements create
significant complication for the support of quality of service (QoS) in vehicular communications where a single network infrastructure requires to support a wide range of QoS metrics. Relying on a specific radio technology (such as mmWave) with monotone transmission characteristics constrains the QoS support. Thus, a practical approach for vehicular communications is the inclusion and coordination of various radio access technologies (RATs) to support of diversified communication services and increase radio accessibility. The main objective of our research is to propose Smart mmWave multiRATs for multihop V2X (SwiftV2X) cellular communications in the CAV environment. Our approach includes (i) smart mmWave beam allocation solution to support high data rate communications; (ii) smart cooperative multiRAT selection to compensate for the coverage of mmWave and improve radio accessibility; (iii) efficient vehicle-to-vehicle (V2V) multihop solution to enable timely exchange of critical messages for delay sensitive operations in vehicular communications. Our goal is to propose a solution for beam-aware multiRAT and multihop V2X communications.
significant complication for the support of quality of service (QoS) in vehicular communications where a single network infrastructure requires to support a wide range of QoS metrics. Relying on a specific radio technology (such as mmWave) with monotone transmission characteristics constrains the QoS support. Thus, a practical approach for vehicular communications is the inclusion and coordination of various radio access technologies (RATs) to support of diversified communication services and increase radio accessibility. The main objective of our research is to propose Smart mmWave multiRATs for multihop V2X (SwiftV2X) cellular communications in the CAV environment. Our approach includes (i) smart mmWave beam allocation solution to support high data rate communications; (ii) smart cooperative multiRAT selection to compensate for the coverage of mmWave and improve radio accessibility; (iii) efficient vehicle-to-vehicle (V2V) multihop solution to enable timely exchange of critical messages for delay sensitive operations in vehicular communications. Our goal is to propose a solution for beam-aware multiRAT and multihop V2X communications.