Resource Scheduling and Cell Association in 5G-V2X
Thesis event information
Date and time of the thesis defence
Place of the thesis defence
IT138, https://oulu.zoom.us/j/62918506825?from=msft
Topic of the dissertation
Resource Scheduling and Cell Association in 5G-V2X
Doctoral candidate
Master of Science Hamza Khan
Faculty and unit
University of Oulu Graduate School, Faculty of Information Technology and Electrical Engineering, Centre for Wireless Communications
Subject of study
Communications Engineering
Opponent
Professor Jussi Kangasharju, University of Helsinki
Custos
Associate Professor Mehdi Bennis, University of Oulu
Resource Scheduling and Cell Association in 5G-V2X
The fifth-generation (5G) of wireless communication is expected to serve a wide variety of applications with heterogeneous service requirements consisting of enhanced mobile broadband (eMBB), ultra-reliable and low-latency communication (URLLC), and massive machine-type communication (mMTC). Network slicing is instrumental in coping with these diverse set of requirements and service heterogeneity.
The overarching goal of this thesis is to investigate radio resource allocation, focusing on eMBB and URLLC in the context of vehicular networks. This thesis exploits the benefits of network slicing for heterogeneous access in vehicular networks from four perspectives:
(i) development and validation of downlink resource allocation algorithms for vehicular networks with multiple slices and varying quality-of-service (QoS) constraints,
(ii) enhancement of quality-of-experience (QoE) via joint resource allocation and video quality selection in a single-slice vehicular network,
(iii) vehicle cell association and resource allocation for sum rate maximization and signalling overhead minimization in millimeter wave (mmWave) vehicular networks, and
(iv) channel state information inference to reduce the overhead of acquiring channel statistics in vehicular networks and radio resource allocation of multiple slices.
These aspects are studied using analytical tools from stochastic optimization and machine learning, while taking into account vehicular mobility, dynamic network states, and heterogeneous traffic demands. The outcome include resource allocation algorithms in a multisliced vehicular network, QoE enhancement, cell association criterion, and a novel CSI overhead reduction mechanism. The research conducted in this thesis provides key insights into the design and optimization of vehicular communication under the constraints of latency and reliability. The obtained results show significant improvement in terms of QoS/QoE requirements, sum rate improvements, and signaling overhead reductions compared to the current state of the art.
The overarching goal of this thesis is to investigate radio resource allocation, focusing on eMBB and URLLC in the context of vehicular networks. This thesis exploits the benefits of network slicing for heterogeneous access in vehicular networks from four perspectives:
(i) development and validation of downlink resource allocation algorithms for vehicular networks with multiple slices and varying quality-of-service (QoS) constraints,
(ii) enhancement of quality-of-experience (QoE) via joint resource allocation and video quality selection in a single-slice vehicular network,
(iii) vehicle cell association and resource allocation for sum rate maximization and signalling overhead minimization in millimeter wave (mmWave) vehicular networks, and
(iv) channel state information inference to reduce the overhead of acquiring channel statistics in vehicular networks and radio resource allocation of multiple slices.
These aspects are studied using analytical tools from stochastic optimization and machine learning, while taking into account vehicular mobility, dynamic network states, and heterogeneous traffic demands. The outcome include resource allocation algorithms in a multisliced vehicular network, QoE enhancement, cell association criterion, and a novel CSI overhead reduction mechanism. The research conducted in this thesis provides key insights into the design and optimization of vehicular communication under the constraints of latency and reliability. The obtained results show significant improvement in terms of QoS/QoE requirements, sum rate improvements, and signaling overhead reductions compared to the current state of the art.
Last updated: 1.3.2023