In this paper, we study utilitybased resource allocation for users supporting multiple services in a LTEA system with coordinated multipoint transmission for singleuser multiinput multioutput （CoMPSUMIMO）. We design...In this paper, we study utilitybased resource allocation for users supporting multiple services in a LTEA system with coordinated multipoint transmission for singleuser multiinput multioutput （CoMPSUMIMO）. We designed Joint Transmission Power Control （JTPC） for the selected clusters for minimizing power consumption in LTEA 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 celledge 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.展开更多
基金partially supported by the Fundamental Research Funds for the Central Universities under Grant No.2012RC0401
文摘In this paper, we study utilitybased resource allocation for users supporting multiple services in a LTEA system with coordinated multipoint transmission for singleuser multiinput multioutput （CoMPSUMIMO）. We designed Joint Transmission Power Control （JTPC） for the selected clusters for minimizing power consumption in LTEA 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 celledge 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.
