TY - BOOK

T1 - Resource orchestration for vehicular ad hoc networks in a multi-service environment

AU - Xhoxhi, Edmir

PY - 2024/10/25

Y1 - 2024/10/25

N2 - Vehicles equipped with ad hoc connectivity features have recently entered the European market. With these vehicles already on the roads, market penetration rates are soon anticipated to reach double digits, potentially nearing mass adoption. As vehicle automation level advances, the requirements for communication applications become increasingly stringent. However, the limited bandwidth of communication channels and the unpredictability of transmissions in wireless ad hoc networks pose significant challenges for future applications. The development of Connected Automated Vehicles creates demand for Vehicle-to-Everything services, which enable these vehicles to share and negotiate their trajectories. Meanwhile, the introduction of multiple services responsible for maneuver coordination presents further challenges in channel resource orchestration and distribution. Services that satisfy application requirements must be developed with efficient resource allocation in mind. This work identifies issues with the current architecture and the scarcity of channel resources. Initially, it proposes improvements to the state-of-the-art Maneuver Coordination Service, as a representative of advanced use cases, by including a message generation algorithm for the Maneuver Coordination Message (MCM). This algorithm utilizes surrounding information and the kinematic status of the ego-vehicle. The results show increased tracking accuracy while maintaining low channel congestion. Additionally, the issues of multiple maneuver services coexisting, such as decision divergence, priority preservation, and redundancy mitigation, have been identified. An enhancement to the MCM format has been proposed to address these issues. Finally, an application-aware resource orchestration algorithm has been proposed and compared with content-agnostic algorithms, such as the Decentralized Congestion Control (DCC). By taking a holistic approach, the results in this thesis demonstrate that application requirements can be better satisfied by considering the value that each specific message can contribute. Compared with existing methods, the resource orchestration approach presented here shows superior results in terms of maneuver coordination success and increased awareness of connected vehicles. To summarize, the findings provided in this thesis offer a precise foundation for resource orchestration in maneuver coordination scenarios and overall resource distribution in vehicular ad hoc networks.

AB - Vehicles equipped with ad hoc connectivity features have recently entered the European market. With these vehicles already on the roads, market penetration rates are soon anticipated to reach double digits, potentially nearing mass adoption. As vehicle automation level advances, the requirements for communication applications become increasingly stringent. However, the limited bandwidth of communication channels and the unpredictability of transmissions in wireless ad hoc networks pose significant challenges for future applications. The development of Connected Automated Vehicles creates demand for Vehicle-to-Everything services, which enable these vehicles to share and negotiate their trajectories. Meanwhile, the introduction of multiple services responsible for maneuver coordination presents further challenges in channel resource orchestration and distribution. Services that satisfy application requirements must be developed with efficient resource allocation in mind. This work identifies issues with the current architecture and the scarcity of channel resources. Initially, it proposes improvements to the state-of-the-art Maneuver Coordination Service, as a representative of advanced use cases, by including a message generation algorithm for the Maneuver Coordination Message (MCM). This algorithm utilizes surrounding information and the kinematic status of the ego-vehicle. The results show increased tracking accuracy while maintaining low channel congestion. Additionally, the issues of multiple maneuver services coexisting, such as decision divergence, priority preservation, and redundancy mitigation, have been identified. An enhancement to the MCM format has been proposed to address these issues. Finally, an application-aware resource orchestration algorithm has been proposed and compared with content-agnostic algorithms, such as the Decentralized Congestion Control (DCC). By taking a holistic approach, the results in this thesis demonstrate that application requirements can be better satisfied by considering the value that each specific message can contribute. Compared with existing methods, the resource orchestration approach presented here shows superior results in terms of maneuver coordination success and increased awareness of connected vehicles. To summarize, the findings provided in this thesis offer a precise foundation for resource orchestration in maneuver coordination scenarios and overall resource distribution in vehicular ad hoc networks.

U2 - 10.15488/18089

DO - 10.15488/18089

M3 - Doctoral thesis

CY - Hannover

ER -