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

PROJECT TITLE :

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

ABSTRACT:

The heterogeneous cloud radio access network (H-CRAN) may be a promising paradigm that includes 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 vital for multimedia applications to enhance the energy efficiency (EE) in H-CRANs. An energy-efficient optimization objective function with individual fronthaul capability and intertier interference constraints is presented in this paper for queue-aware multimedia H-CRANs. To resolve this nonconvex objective perform, a stochastic optimization problem is reformulated by introducing the overall Lyapunov optimization framework. Under the Lyapunov framework, this optimization downside is adore an optimal network-wide cooperative beamformer style algorithm with instantaneous power, average power, and intertier interference constraints, that can be thought to be a weighted total EE maximization problem and solved by a generalized weighted minimum mean-sq. 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.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here