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Published on: February 23, 2019
Online Distributed User Association for Heterogeneous Radio Access Network.
B Bikram Kumar1, Lokesh Sharma2, Shih-Lin Wu3,4,5,6
1Department of Electrical Engineering, Chang Gung University, Taoyuan 33302, Taiwan. basaba.bikram@gmail.com.
Future radio access networks (RAN) face load imbalance challenges in heterogeneous networks (HetNet). This study introduces novel user association schemes for dynamic load balancing and improved data rates.
Area of Science:
- Telecommunications Engineering
- Wireless Communication Networks
Background:
- Future-generation radio access networks (RAN) will utilize heterogeneous network (HetNet) environments to meet diverse user equipment (UE) demands.
- Integrating multiple radio access technologies (RAT) like 2G, 3G, 4G, WLAN, and VLC is essential for HetNets.
- Traditional user association schemes (e.g., max-SINR/max-RSSI) are inadequate for HetNets, leading to base station (BS) load imbalance.
Purpose of the Study:
- To devise a novel joint-user association scheme for load balancing in densely deployed, dynamic HetNets.
- To address the challenge of load imbalance in HetNets with mobile UEs and varying channel conditions.
- To improve overall network performance by ensuring fairness in received data rates and enhancing the minimum data rate for UEs.
Main Methods:
- Development of two complex, distributed association schemes based on probability and d-choices.
- Consideration of dynamic network conditions, including UE mobility and fluctuating channel quality.
- Jointly optimizing BS load and the signal-to-interference-plus-noise ratio (SINR) experienced by UEs.
Main Results:
- The proposed schemes effectively balance the load among base stations in a dynamic HetNet environment.
- Numerical results demonstrate significant fairness in received data rates among UEs.
- An improvement in the minimum received data rate for UEs was observed, validating the scheme's efficiency.
Conclusions:
- The novel joint-user association schemes provide an efficient solution for load balancing in future HetNets.
- The proposed methods enhance UE experience by ensuring fair and improved data rates.
- This work contributes to the advancement of robust and efficient wireless network management.
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