Coordinated multi-point transmission and reception （CoMP） for single user, named as SU-CoMP, is considered as an efficient approach to mitigate inter-cell interference in orthogonal frequency division multiple acce...Coordinated multi-point transmission and reception （CoMP） for single user, named as SU-CoMP, is considered as an efficient approach to mitigate inter-cell interference in orthogonal frequency division multiple access （OFDMA） systems. Two prevalent approaches in SU-CoMP are coordinated scheduling （CS） and joint processing （JP）. Although JP in SU-CoMP has been proved to achieve a great link performance improvement for the cell-edge user, efficient resource allocation （RA） on the system level is quite needed. However, so far limited work has been done considering JP, and most existing schemes achieved the improvement of cell-edge performance at cost of the cell-average performance degradation compared to the single cell RA. In this paper, a two-phase strategy is proposed for SU-CoMP networks. CS and JP are combined to improve both cell-edge and cell-average performance. Compared to the single cell RA, simulation results demonstrate that, the proposed strategy leads to both higher cell-average and cell-edge throughput.展开更多
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supported by the National Natural Science Foundation of China (61001116)State Emphasis Special Project 2009ZX03003-011-02+1 种基金the Hi-Tech Research and Development Program of China (2009AA011506)International Scientific and Technological Cooperation Program (2010DFA11060)
文摘Coordinated multi-point transmission and reception （CoMP） for single user, named as SU-CoMP, is considered as an efficient approach to mitigate inter-cell interference in orthogonal frequency division multiple access （OFDMA） systems. Two prevalent approaches in SU-CoMP are coordinated scheduling （CS） and joint processing （JP）. Although JP in SU-CoMP has been proved to achieve a great link performance improvement for the cell-edge user, efficient resource allocation （RA） on the system level is quite needed. However, so far limited work has been done considering JP, and most existing schemes achieved the improvement of cell-edge performance at cost of the cell-average performance degradation compared to the single cell RA. In this paper, a two-phase strategy is proposed for SU-CoMP networks. CS and JP are combined to improve both cell-edge and cell-average performance. Compared to the single cell RA, simulation results demonstrate that, the proposed strategy leads to both higher cell-average and cell-edge throughput.
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.
