scholarly journals Load Balancing Improvement in Normal and Clustered User Distribution LTE Advanced HetNets through a Hybrid Channel-Gain Access-Aware Cell Selection Scheme

2017 ◽  
Vol 165 (4) ◽  
pp. 30-36
Author(s):  
Ajagbonna Babatunde ◽  
Abdoulie Momodou ◽  
Mohammed Aliyu
2014 ◽  
Vol 989-994 ◽  
pp. 1671-1675
Author(s):  
Zhe Liang ◽  
Yi Bing Li ◽  
Fang Ye

In LTE-A (LTE-Advanced) system, CoMP (Coordinated Multipoint Transmission) is used to improve system capacity and cell coverage. CB(Coordinated Beamforming), as a way of CoMP, using multi-cell coordination to improve the spectrum efficiency of edge users. Therefore, coordinated cell selection is important. To achieve better performance, multiple factors rather than a single one are considered in cell selection, channel gain as well as cell load is taken into account in the article. Multiple factors constitute a matrix to find the optimal coordinated cells, multi-objective optimization is used here. Simulation result shows system performance of the proposed algorithm is better than the one only considers channel gain.


2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
M. A. Gadam ◽  
Maryam Abdulazeez Ahmed ◽  
Chee Kyun Ng ◽  
Nor Kamariah Nordin ◽  
Aduwati Sali ◽  
...  

Poor cell selection is the main challenge in Picocell (PeNB) deployment in Long Term Evolution- (LTE-) Advanced heterogeneous networks (HetNets) because it results in load imbalance and intercell interference. A selection technique based on cell range extension (CRE) has been proposed for LTE-Advanced HetNets to extend the coverage of PeNBs for load balancing. However, poor CRE bias setting in cell selection inhibits the attainment of desired cell splitting gains. By contrast, a cell selection technique based on adaptive bias is a more effective solution to traffic load balancing in terms of increasing data rate compared with static bias-based approaches. This paper reviews the use of adaptive cell selection in LTE-Advanced HetNets by highlighting the importance of cell load estimation. The general performances of different techniques for adaptive CRE-based cell selection are compared. Results reveal that the adaptive CRE bias of the resource block utilization ratio (RBUR) technique exhibits the highest cell-edge throughput. Moreover, more accurate cell load estimation is obtained in the extended RBUR adaptive CRE bias technique through constant bit rate (CBR) traffic, which further improved load balancing as against the estimation based on the number of user equipment (UE). Finally, this paper presents suggestions for future research directions.


IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 64224-64240
Author(s):  
Ibtihal Ahmed Alablani ◽  
Mohammed Amer Arafah

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