Multicell resource allocation for multicarrier networks with multiuser decoding receivers

Thesis Type: Doctorate

Institution Of The Thesis: Orta Doğu Teknik Üniversitesi, Faculty of Engineering, Department of Electrical and Electronics Engineering, Turkey

Approval Date: 2017




In recent years, techniques for exploiting interference on the receiver side to improve the performance of future cellular networks have been of interest. These studies assume multiuser decoding capability of receivers, i.e. the receivers are able to decode the interference signal as well as the intended signal. Additionally, due to the dominance of data in network traffic, user rate demands are becoming crucial for resource allocation of cells in the network. In this thesis, we propose an efficient transmission scheme for the downlink of an OFDMA multicell multiuser system with multiuser decoding capable receivers. We define a marginal rate maximization problem taking into account minimum rate demands of users and develop practical scheduling (subchannel assignment) and power allocation algorithms using Lagrangian dual decomposition and gradient methods. Through Lagrangian dual decomposition, we derive the optimal power allocation rule using multiuser decoding modes for a given subchannel assignment. We observe that the method proposed here has low computational complexity and can be easily integrated to next generation networks as well as achieving high performance in practical scenarios.