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dc.contributor.authorCao, Pan
dc.contributor.authorLiu, Wenjia
dc.contributor.authorThompson, John
dc.contributor.authorYang, Chenyang
dc.contributor.authorJorswieck, Eduard
dc.date.accessioned2017-11-23T13:11:13Z
dc.date.available2017-11-23T13:11:13Z
dc.date.issued2016-05-31
dc.identifier.citationCao , P , Liu , W , Thompson , J , Yang , C & Jorswieck , E 2016 , ' Semidynamic Green Resource Management in Downlink Heterogeneous Networks by Group Sparse Power Control ' , IEEE Journal of Selected Areas in Communications , vol. 34 , no. 5 , pp. 1250-1266 . https://doi.org/10.1109/JSAC.2016.2545478
dc.identifier.otherPURE: 12581478
dc.identifier.otherPURE UUID: ce700adf-ade8-46d1-bb78-f30585c07fb8
dc.identifier.otherScopus: 84976371998
dc.identifier.urihttp://hdl.handle.net/2299/19549
dc.descriptionPan Cao, Wnjia Liu, John S. Thompson, Chenyang Yang, and Eduard A. Jorswieck, 'Semidynamic Green Resource Management in Downlink Heterogeneous Networks by Group Sparse Power Control', IEEE Journal on Selected Areas in Communications, Vol. 34 (5): 1250-1266, May 2016, doi: https://doi.org/10.1109/JSAC.2016.2545478.
dc.description.abstractThis paper addresses an energy-saving problem for the downlink of a cloud-assisted heterogeneous network (HetNet) using a time-division duplex (TDD) model, which aims to minimize the base stations (BSs) sum power consumption while meeting the rate requirement of each user equipment (UE). The basic idea of this work is to make use of the scalability of system configurations such that green resource management can be employed by flexibly switching off some unnecessary hardware components, especially for off-peak traffic scenarios. This motivates us to utilize a flexible BS power consumption formulation to jointly model its signal processing and circuit power, transmit power, and backhaul transmission power. Instead of using the integer variables [1,0] to control the “on/off” two status of a BS in most previous work, we employ the group sparsity of a transmit power vector to denote the activity of each frequency carrier (FC) such that the signal processing and circuit power can be scaled with the effective bandwidth, thereby leading to multiple sleep modes for a BS in multi-FC systems. Based on this BS power model and the group sparsity concept, a simplified resource allocation scheme for joint BS-UE association, FC assignment, downlink power allocation, and BS sleep modes determination is presented, which is based on the average channel statistics computed over the coherence time of the large scale fading (LSF). This semidynamic green resource management mechanism can be formulated as a NP-hard optimization problem. In order to make it tractable, the successive convex approximation (SCA)-based algorithm is applied to efficiently find a stationary solution using a cloud-based centralized optimization. Simulation results also verify the effectiveness of the proposed mechanism under the developed BS power consumption model.en
dc.format.extent17
dc.language.isoeng
dc.relation.ispartofIEEE Journal of Selected Areas in Communications
dc.titleSemidynamic Green Resource Management in Downlink Heterogeneous Networks by Group Sparse Power Controlen
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
dc.contributor.institutionDepartment of Engineering and Technology
dc.contributor.institutionCentre for Engineering Research
dc.contributor.institutionCommunications and Intelligent Systems
dc.description.statusPeer reviewed
rioxxterms.versionVoR
rioxxterms.versionofrecordhttps://doi.org/10.1109/JSAC.2016.2545478
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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