scholarly journals On cell range extension in LTE-Advanced Type 1 inband relay networks

2013 ◽  
Vol 15 (4) ◽  
pp. 770-786 ◽  
Author(s):  
Abdallah Bou Saleh ◽  
Ömer Bulakci ◽  
Simone Redana ◽  
Jyri Hämäläinen
Keyword(s):  
Relay Networks ◽  
Range Extension ◽  
Lte Advanced ◽  
Cell Range

A Dynamic Flow Control Algorithm for LTE-Advanced Relay Networks

2014 ◽  
Vol 63 (1) ◽  
pp. 334-343 ◽  
Author(s):  
Ping-Chen Lin ◽  
Ray-Guang Cheng ◽  
Yu-Jen Chang
Keyword(s):  
Flow Control ◽  
Control Algorithm ◽  
Relay Networks ◽  
Dynamic Flow ◽  
Lte Advanced

scholarly journals Capacity Analysis and Optimization in Heterogeneous Network with Adaptive Cell Range Control

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Xinyu Gu ◽  
Xin Deng ◽  
Qi Li ◽  
Lin Zhang ◽  
Wenyu Li
Keyword(s):  
Heterogeneous Network ◽  
Selection Procedure ◽  
Mobile Network ◽  
Network Capacity ◽  
Network Evolution ◽  
Range Extension ◽  
Traffic Load ◽  
System Level ◽  
Small Cells ◽  
Cell Range

As an attractive means of expanding mobile network capacity, heterogeneous network is regarded as an important direction of mobile network evolution. To increase the capacity of, for example, hot spots, a typical scenario in heterogeneous network is that the coverage areas of low power nodes (LPNs) are overlapped with macrocell. To increase the utilization of small cells generated by LPNs, cell range extension (CRE) is used to extend the coverage of the small cells by adding cell specific offset (CSO) to small cells during cell selection procedure. The value of CSO, however, needs to be set carefully. In this paper, the capacity of users in macrocells, users in small cells, and users in range extension areas is analyzed thoroughly in conditions with and without CRE. Based on the analysis, an adaptive CSO updating algorithm is proposed. The proposed algorithm updates the CSO value periodically by predicting the overall capacity and a new CSO value is selected which can give the optimal overall capacity. The proposed algorithm is evaluated by system-level simulations. Simulation results indicate that the proposed algorithm can ensure a nearly optimal performance in all tested traffic load situations.

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