Utility-Based Joint Scheduling Approach Supporting Multiple Services for CoMP-SU-MIMO in LTE-A Syste

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In this paper, we study utility-based resource allocation for users supporting multiple services in a LTE-A system with coordinated multi-point transmission for single-user multi-input multi-output(Co MP-SU-MIMO). We designed Joint Transmission Power Control(JTPC) for the selected clusters for minimizing power consumption in LTE-A systems. The objective of JTPC is to calculate the optimal transmission power for each scheduled user and subcarrier. Moreover, based on the convex optimization theory, we propose the dynamic sector selection method in which the average sector throughput and cell-edge users(UEs) rates are performed to achieve the optimal solution. Simulation results show that the system performance achieved by using the proposed suboptimal algorithm is close to that achieved by the dual decomposition method. In this paper, we study utility-based resource allocation for users supporting multiple services in a LTE-A system with coordinated multi-point transmission for single-user multi-input multi-output (Co MP-SU-MIMO) Transmission Power Control (JTPC) for the selected clusters for minimizing power consumption in LTE-A systems. The objective of JTPC is to calculate the optimal transmission power for each scheduled user and subcarrier. Moreover, based on the convex optimization theory, we propose the dynamic sector selection method in which the average sector throughput and cell-edge users (UEs) rates are performed to achieve the optimal solution. Simulation results show that the system performance achieved by using the proposed suboptimal algorithm is close to that achieved by the dual decomposition method.
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