A Resource Scheduling Algorithm Based on User Grouping for LTE-Advanced System with Carrier Aggregation

Author(s):  
Songsong Shi ◽  
Chunyan Feng ◽  
Caili Guo
2014 ◽  
Vol 577 ◽  
pp. 1017-1021
Author(s):  
Hong Zhuo Wang ◽  
Zheng Hai Sun ◽  
Jun Wang ◽  
Fang Liu

In the paper, the resource scheduling algorithm in the downlink of LTE-Advanced (LTE-A) assuming equal power allocation among subcarriers which adopted the technology of carrier aggregation (CA) is investigated. When the independent scheduling (INS) scheme is applied, the LTE users will acquire few resources because they cannot support CA technology. And the fairness of the system is disappointing. Focusing on the problem, a novel proportional fair (PF) scheduling algorithm based on INS is proposed. In the proposed method, the system fairness is well improved without bringing high complexity to the system. And also, we design a weigh factor which is related to the number of the carriers and the percentage of LTE users in the method. The simulation results show that the proposed algorithm can effectively increase the throughput of LTE users and improve the system fairness.


Author(s):  
Le-xiang LIN ◽  
Yuan-an LIU ◽  
Fang LIU ◽  
Gang XIE ◽  
Kai-ming LIU ◽  
...  

2014 ◽  
Vol 1046 ◽  
pp. 343-347
Author(s):  
Wei Wu ◽  
Jun Sun ◽  
Tong Hui Wu

The scheduling algorithm is one of the key technologies in LTE-Advanced system. In this paper, a semi-persistent scheduling algorithm designed for the VoIP service in LTE-Advanced system is proposed. The time-frequency resource will be allocated to the users according to the semi-persistent scheduling algorithm based on the gain for each user on the certain RB. By introducing the mechanism and procedure, analyzing the proposed semi-persistent scheduling algorithm combined the source coding (SC) or modulation and coding scheme (MCS) techniques, the superiority of the proposed algorithm is shown. The simulation results indicate that the performance of the proposed semi-persistent scheduling algorithm is better than the traditional algorithms in term of resource utilization ratio, system throughput and scheduling success rate.


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