Hybrid Channel Gain Access Cell Association for Load Balancing in Downlink LTE-Advanced HetNets

2016 ◽  
Author(s):  
M.A. Gadam ◽  
Chee Kyun Ng ◽  
Nor Kamariah Nordin ◽  
Aduwati Sali ◽  
Fazirulhisyam Hashim
Keyword(s):  
Load Balancing ◽  
Channel Gain ◽  
Lte Advanced ◽  
Cell Association ◽  
Gain Access

Hybrid channel gain prioritized access-aware cell association with interference mitigation in LTE-Advanced HetNets

2016 ◽  
Vol 29 (18) ◽  
pp. 2650-2668 ◽  
Author(s):  
M.A. Gadam ◽  
Chee Kyun Ng ◽  
Nor Kamariah Nordin ◽  
Aduwati Sali ◽  
Fazirulhisyam Hashim
Keyword(s):  
Interference Mitigation ◽  
Channel Gain ◽  
Lte Advanced ◽  
Cell Association

scholarly journals A Submodular Optimization Framework for Outage-Aware Cell Association in Heterogeneous Cellular Networks

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Gongchao Su ◽  
Bin Chen ◽  
Xiaohui Lin ◽  
Hui Wang ◽  
Lemin Li
Keyword(s):  
Load Balancing ◽  
Small Cell ◽  
Base Stations ◽  
Maximization Problem ◽  
Proportional Fairness ◽  
Submodular Optimization ◽  
Outage Performance ◽  
Cell Association ◽  
Outage Probabilities ◽  
Utility Maximization Problem

In cellular heterogeneous networks (HetNets), offloading users to small cell base stations (SBSs) leads to a degradation in signal to interference plus noise ratio (SINR) and results in high outage probabilities for offloaded users. In this paper, we propose a novel framework to solve the cell association problem with the intention of improving user outage performance while achieving load balancing across different tiers of BSs. We formulate a combinatorial utility maximization problem with weighted BS loads that achieves proportional fairness among users and also takes into account user outage performance. A formulation of the weighting parameters is proposed to discourage assigning users to BSs with high outage probabilities. In addition, we show that the combinatorial optimization problem can be reformulated as a monotone submodular maximization problem and it can be readily solved via a greedy algorithm with lazy evaluations. The obtained solution offers a constant performance guarantee to the cell association problem. Simulation results show that our proposed approach leads to over 30% reduction in outage probabilities for offloaded users and achieves load balancing across macrocell and small cell BSs.

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