Flexible duplexing and resource optimization in small cell networks

Thesis event information

Date and time of the thesis defence

Place of the thesis defence

Saalasti hall, Linnanmaa

Topic of the dissertation

Flexible duplexing and resource optimization in small cell networks

Doctoral candidate

Master of Science Mohammed Elbamby

Faculty and unit

University of Oulu Graduate School, Faculty of Information Technology and Electrical Engineering, Centre for Wireless Communication, Radio Technology

Subject of study

Communications Engineering


Professor Evgeny Kucheryavy , Tampere University of Technology


Academy of Finland Research Fellow Mehdi Bennis, University of Oulu

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Resource optimization in small cell networks

The next-generation networks are set to support a high data rate, low latency, high reliability, and diverse types of services and use cases. These requirements come at the expense of a more complex network management, and asymmetric and time-varying traffic dynamics. Accordingly, future networks will operate at different duplexing modes and with multiple access techniques. This thesis proposes novel transmission strategies and methodologies to dynamically optimize the duplexing modes and allocate resources for small cell based cellular networks.

The first part of the thesis studies dynamic time-division-duplex (TDD) operation in dynamic and asymmetric uplink (UL) and downlink (DL) traffic conditions. In the second part, we study the problem of half-duplex (HD)/full-duplex (FD) mode selection and UL/DL resource and power optimization in small cell networks. Finally, the last part of the thesis looks beyond rate maximization and focuses on ensuring low latency and high reliability in small cell networks providing edge computing services.

The research has found novel ways to optimize the wireless resources in future small cell networks. 5 conference papers and 5 journal articles were published.
Last updated: 1.3.2023