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dc.contributor.supervisorCai, Jun (Electrical and Computer Engineering)en_US
dc.contributor.authorHuang, Shiwei
dc.date.accessioned2018-01-17T16:33:20Z
dc.date.available2018-01-17T16:33:20Z
dc.date.issued2018-01en_US
dc.date.issued2016-09en_US
dc.date.issued2016-07en_US
dc.date.issued2015-06en_US
dc.date.issued2015-10en_US
dc.identifier.citationShiwei Huang, Jun Cai, Hongbin Chen, and Feng Zhao, “Low-complexity Priority-aware Interference-avoidance Scheduling for Multi-user Coexisting Wireless Networks,” IEEE Transactions on Wireless Communications, vol. 17, no. 1, pp. 112–126, Jan. 2018.en_US
dc.identifier.citationShiwei Huang and Jun Cai, “An Analysis Framework for Buffer-Aided Relaying Under Time-Correlated Fading Channels,” IEEE Transactions on Vehicular Technology, vol. 65, no. 9, pp. 6987–6999, Sept. 2016.en_US
dc.identifier.citationShiwei Huang, Jun Cai, Hongbin Chen and Hong Zhang, “Transmit Power Optimization for Amplify-and-Forward Relay Networks With Reduced Overheads,” IEEE Transactions on Vehicular Technology, vol. 65, no. 7, pp. 5033–5044, Jul. 2016.en_US
dc.identifier.citationShiwei Huang, Jun Cai and Hong Zhang, “Relay Selection for Average Throughput Maximization in Buffer-Aided Relay Networks,” in proc. of IEEE International Conference on Communications (ICC), London, UK, Jun. 2015, pp. 1994–1998.en_US
dc.identifier.citationShiwei Huang and Jun Cai, “Priority-Aware Scheduling for Coexisting Wireless Body Area Networks (Invited Paper),” in proc. of International Conference on Wireless Communications and Signal Processing (WCSP), Nanjing, China, Oct. 2015, pp. 1–5.en_US
dc.identifier.urihttp://hdl.handle.net/1993/32849
dc.description.abstractFuture wireless communication networks are expected to be more energy-efficient and to provide higher throughput, in order to satisfy the demands for the increasing number of mobile users. Resource allocation and transmission scheduling play more and more important roles in improving the performance of wireless networks, in terms of energy saving, throughput, delay, etc. In this thesis, we consider three networks with different characteristics and objectives, i.e., wireless relay networks for distant transmissions, dense multi-user coexisting networks, and device-to-device (D2D) assisted mobile edge computing systems for compute-intensive mobile applications. We aim to investigate the key resource allocation and/or transmission scheduling issues in these networks. In particular, i) a transmit power allocation scheme with reduced overheads for amplify-and-forward relay networks is proposed to reduce energy consumption, based on the two-stage stochastic programming method, ii) an analysis framework for buffer-aided decode-and-forward relay networks under time-correlated fading channels is developed and an improved link scheduling/selection policy is presented, through the analyses to two quasi-birth-death Markov chains, iii) an interference-avoidance scheduling scheme for dense multi-user coexisting networks with heterogeneous priorities and demands is presented to increase the number of admitted users, on the basis of the column generation method, and iv) a joint optimization of admission control, link scheduling, and resource management for D2D-assisted mobile edge computing is carried out, according to the branch-and-price method. Simulations are performed to verify the effectiveness of the proposed schemes where the performance of networks is shown to be improved significantly.en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.publisherIEEEen_US
dc.publisherIEEEen_US
dc.publisherIEEEen_US
dc.publisherIEEEen_US
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectWireless relay networks, Multi-user coexistence, Mobile edge computing, Resource allocation, Power control, Link scheduling, Two-stage stochastic programming, Quasi-birth-death Markov chains, Column generation, Branch-and-priceen_US
dc.titleOptimization-based resource allocation and transmission scheduling for wireless networksen_US
dc.typeinfo:eu-repo/semantics/doctoralThesis
dc.typedoctoral thesisen_US
dc.degree.disciplineElectrical and Computer Engineeringen_US
dc.contributor.examiningcommitteeYahampath, Pradeepa (Electrical and Computer Engineering) Luo, Yunhua (Mechanical Engineering) Fernando, Xavier (Electrical and Computer Engineering, Ryerson University)en_US
dc.degree.levelDoctor of Philosophy (Ph.D.)en_US
dc.description.noteMay 2018en_US


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