Defence of doctoral thesis in the field of Communications Engineering, M.Sc.(Tech.) Bikramjit Singh
M.Sc.(Tech.) Bikramjit Singh will defend the thesis "Resource Allocation for 5G Systems" on 14 December 2021 at 12 in Aalto University School of Electrical Engineering, Department of Communications and Networking, in lecture hall U006, Ekonominaukio 1, Espoo, and online in Zoom.
Opponent: Prof. Hirley Alves, University of Oulu, Finland
Custos: Prof. Olav Tirkkonen, Aalto University School of Electrical Engineering, Department of Communications and Networking
The public defense will be organized via remote technology. Follow defence: https://aalto.zoom.us/j/63552756480
Zoom Quick Guide: https://www.aalto.fi/en/services/zoom-quick-guide
In the defence arranged at campus, the organiser may check the COVID19 certificate of the participants, depending on the number of participants present (more details at: https://www.aalto.fi/en/study-at-aalto/being-a-doctoral-student-at-aalto --> Public defences).
Thesis available for public display at: https://aaltodoc.aalto.fi/doc_public/eonly/riiputus/
Doctoral theses in the School of Electrical Engineering: https://aaltodoc.aalto.fi/handle/123456789/53
The 5th generation of cellular communications is driven by three broadly classified use cases, enhanced mobile broadband (eMBB), massive machine type communication, and ultra-reliable low latency communication (URLLC). These new use cases bring a new set of problems such as provisioning of extremely high user rates, ultra-high reliability, ultra-low latency, extremely low jitter, and extremely long battery life, to name a few. This dissertation studies some of the challenges posed by new use cases and proposes solutions for enabling communication confirming new extreme requirements introduced by 5th generation systems.
The part of the dissertation studies the spectrum sharing problem in a multi-operator setting. The operators are independent and motivated by self-interest. For such operators, a novel sharing mechanism is proposed by employing game theory techniques where operators do not reveal their network-related information. The sharing persists over a long period in the form of repeated games, and thus rational operators tend to cooperate due to fear of repercussions. In the end, the performance of the sharing technique is evaluated in improving user rates in an eMBB scenario.
The efficient support for URLLC is another topic that is studied. The communication challenges are posed by stringent requirements related to extremely high rate availability and reliability. In this regard, various solutions involving multi-hop and inter-cell coordination mechanisms are proposed to improve the availability targeting a specific rate that a cell can provide at probable locations. For the improvement of reliability, solutions based on transmission repetitions are considered for low latency contention-based transmissions. The performances of the employed techniques are evaluated, and the results have shown significant improvement in 5G ultra-reliable, low latency services.
Contact information of doctoral candidate: