Resource scheduling in downlink LTE-advanced system with carrier aggregation

2012 ◽  
Vol 19 (1) ◽  
pp. 44-123 ◽  
Author(s):  
Le-xiang LIN ◽  
Yuan-an LIU ◽  
Fang LIU ◽  
Gang XIE ◽  
Kai-ming LIU ◽  
...  
Keyword(s):  
Resource Scheduling ◽  
Carrier Aggregation ◽  
Lte Advanced ◽  
Advanced System

Study on the Resource Scheduling Algorithm for LTE-Advanced Downlink Systems

2014 ◽  
Vol 577 ◽  
pp. 1017-1021
Author(s):  
Hong Zhuo Wang ◽  
Zheng Hai Sun ◽  
Jun Wang ◽  
Fang Liu
Keyword(s):  
Power Allocation ◽  
Scheduling Algorithm ◽  
Resource Scheduling ◽  
Carrier Aggregation ◽  
High Complexity ◽  
Proportional Fair ◽  
Lte Advanced ◽  
Simulation Results ◽  
Equal Power Allocation ◽  
Equal Power

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.

scholarly journals Adaptive Handover Decision Algorithm Based on Multi-Influence Factors through Carrier Aggregation Implementation in LTE-Advanced System

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Ibraheem Shayea ◽  
Mahamod Ismail ◽  
Rosdiadee Nordin ◽  
Hafizal Mohamad
Keyword(s):  
Outage Probability ◽  
Influence Factors ◽  
User Mobility ◽  
Carrier Aggregation ◽  
Decision Algorithm ◽  
Handover Decision ◽  
Lte Advanced ◽  
Advanced System ◽  
Better Than

Although Long Term Evolution Advanced (LTE-Advanced) system has benefited from Carrier Aggregation (CA) technology, the advent of CA technology has increased handover scenario probability through user mobility. That leads to a user’s throughput degradation and its outage probability. Therefore, a handover decision algorithm must be designed properly in order to contribute effectively for reducing this phenomenon. In this paper, Multi-Influence Factors for Adaptive Handover Decision Algorithm (MIF-AHODA) have been proposed through CA implementation in LTE-Advanced system. MIF-AHODA adaptively makes handover decisions based on different decision algorithms, which are selected based on the handover scenario type and resource availability. Simulation results show that MIF-AHODA enhances system performance better than the other considered algorithms from the literature by 8.3 dB, 46%, and 51% as average gains over all the considered algorithms in terms of SINR, cell-edge spectral efficiency, and outage probability reduction, respectively.

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