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Energy-Efficient Resource Allocation Optimization for Multimedia Heterogeneous Cloud Radio Access Networks

Author(s): Peng, Mugen; Yu, Yuling; Xiang, Hongyu; Poor, H Vincent

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dc.contributor.authorPeng, Mugen-
dc.contributor.authorYu, Yuling-
dc.contributor.authorXiang, Hongyu-
dc.contributor.authorPoor, H Vincent-
dc.identifier.citationPeng, Mugen, Yu, Yuling, Xiang, Hongyu, Poor, H Vincent. (2016). Energy-Efficient Resource Allocation Optimization for Multimedia Heterogeneous Cloud Radio Access Networks. IEEE Transactions on Multimedia, 18 (5), 879 - 892. doi:10.1109/tmm.2016.2535722en_US
dc.description.abstractThe heterogeneous cloud radio access network (H-CRAN) is a promising paradigm that incorporates cloud computing into heterogeneous networks (HetNets), thereby taking full advantage of cloud radio access networks (C-RANs) and HetNets. Characterizing cooperative beamforming with fronthaul capacity and queue stability constraints is critical for multimedia applications to improve the energy efficiency (EE) in H-CRANs. An energy-efficient optimization objective function with individual fronthaul capacity and intertier interference constraints is presented in this paper for queue-aware multimedia H-CRANs. To solve this nonconvex objective function, a stochastic optimization problem is reformulated by introducing the general Lyapunov optimization framework. Under the Lyapunov framework, this optimization problem is equivalent to an optimal network-wide cooperative beamformer design algorithm with instantaneous power, average power, and intertier interference constraints, which can be regarded as a weighted sum EE maximization problem and solved by a generalized weighted minimum mean-square error approach. The mathematical analysis and simulation results demonstrate that a tradeoff between EE and queuing delay can be achieved, and this tradeoff strictly depends on the fronthaul constraint.en_US
dc.format.extent879 - 892en_US
dc.relation.ispartofIEEE Transactions on Multimediaen_US
dc.rightsAuthor's manuscripten_US
dc.titleEnergy-Efficient Resource Allocation Optimization for Multimedia Heterogeneous Cloud Radio Access Networksen_US
dc.typeJournal Articleen_US

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