Mr Muhammad Dawood
Research Student
Brief biographical information
muhammad.dawood@plymouth.ac.ukAutomotive Cognitive Access
Future vehicular applications needed reliable and capable wireless connectivity supporting infotainment, road safety and traffic efficiency through vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications. The current trend for radio communications systems indicates a composite radio environment, where multiple Radio Access Technologies (RATs) links may be available at the same time. By considering automotive internet requirements for defining and implementing an efficient communication system; the target of research is to find an optimal service delivery platform, a general concept covering the whole area of automotive machine-type communication which to our knowledge is missing. The proposed research envisioned Automotive Cognitive Access (ACA), the concept to support and facilitate end-to-end connectivity in a heterogeneous radio access environment for vehicular communications under higher mobility and QoS constraints. ACA combines the advantages of cognitive resource management to achieve higher spectrum efficiency and the special mobility pattern of vehicle fleets.
Mr Muhammad Dawood
Recently the cloudification of mobile network functionality provides an overall umbrella and a longer evolution perspective of radio access networks, with the assumptions of Wireless-as-a-Service (WaaS) our research work additionally aims to discuss the application of Software Defined Networks, the Network Functions Virtualization and Mobile Cloud Networking concepts for improved vehicular end-to-end connectivity.
Director of studies: Prof. Dr Woldemar Fuhrmann
Other supervisors: Dr Bogdan V Ghita
Conference papers
Assay of Multipath TCP for Session Continuity in Distributed Mobility Management | |
Prospects for TV White Space access in the Evolved Packet Core Environment | |
Assay of White Space Technology Standards for Vehicular Cognitive Access |
3 Conference papers
3 publication(s) - all categories.