Defence of dissertation in the field of Communications Engineering, M.Sc. (Tech.) Hamidreza Shariatmadari

The title of thesis is “Enabling Ultra-Reliable Low-Latency Communications in 5G Networks”

The fifth generation (5G) of cellular networks aims at providing connectivity for a large number of applications. To achieve this goal, 5G has been designed considering three main service categories, known as enhanced mobile broadband (eMBB), massive machine-type communications (mMTC), and ultra-reliable low-latency communications (URLLC). The target for URLLC support in 5G is to deliver small packets within a short time (up to 1 ms) with high probability of success (at least 99.999%). The support of URLLC, along with other services, brings new challenges that should be addressed. This dissertation studies some of the challenges and proposes practical solutions to them.

This work studies radio resource allocations for the efficient support of URLLC. The stringent reliability requirement entails considering different error sources. In part, a novel link adaptation scheme is introduced which considers jointly the errors of the data and the control channels. In addition, time allocation schemes are proposed to ensure the end-to-end communication latency with optimal resource utilization.
The design of the control channel is another topic that is studied. The accuracy of control channels directly affects overall communication reliability. In this regard, various non-trivial solutions are proposed to improve the performance of control channels for URLLC support. Finally, the performance of blind retransmission schemes is evaluated. Such schemes allow reducing the communication latency and achieving high reliability without relying on a feedback channel.

Opponent:  Associate Professor James Gross, KTH Royal Institute of Technology, Sweden

Custos: Professor Riku Jäntti, Aalto University School of Electrical Engineering, Department of Communications and Networking.

Thesis web page
Contact information: Hamidreza Shariatmadari, [email protected], +358 458866745

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