Interference Mitigation and Dynamic User Association for Load Balancing in Heterogeneous Networks

2019 ◽  
Vol 68 (8) ◽  
pp. 7578-7592 ◽  
Author(s):  
Noha Hassan ◽  
Xavier Fernando
Keyword(s):  
Load Balancing ◽  
Heterogeneous Networks ◽  
Interference Mitigation ◽  
User Association

Joint User Association and User Scheduling for Load Balancing in Heterogeneous Networks

2018 ◽  
Vol 17 (5) ◽  
pp. 3211-3225 ◽  
Author(s):  
Xin Ge ◽  
Xiuhua Li ◽  
Hu Jin ◽  
Julian Cheng ◽  
Victor C. M. Leung
Keyword(s):  
Load Balancing ◽  
Heterogeneous Networks ◽  
User Association ◽  
User Scheduling

scholarly journals Joint Load Balancing and Interference Mitigation in 5G Heterogeneous Networks

2017 ◽  
Vol 16 (9) ◽  
pp. 6032-6046 ◽  
Author(s):  
Trung Kien Vu ◽  
Mehdi Bennis ◽  
Sumudu Samarakoon ◽  
Merouane Debbah ◽  
Matti Latva-aho
Keyword(s):  
Load Balancing ◽  
Heterogeneous Networks ◽  
Interference Mitigation ◽  
Joint Load

scholarly journals User Association Strategy for Energy Efficiency and Interference Mitigation of Heterogeneous Networks

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Samira Achki ◽  
Layla Aziz ◽  
Fatima Gharnati ◽  
Abdellah Ait Ouahman
Keyword(s):  
Heterogeneous Networks ◽  
Interference Mitigation ◽  
Mobile Users ◽  
User Association ◽  
Minimal Cost ◽  
Ahp Method ◽  
Optimal Method ◽  
Weighted Function ◽  
Association Strategy ◽  
The Cost

The necessity of the use of several mobile services increases every day. This requires the consumption of energy rates. Hence, minimizing the energy and interferences of mobile users are major concerns of Heterogeneous Networks (HetNet). This paper aims to improve the energy of mobile users by minimizing a weighted function. To consider significant weights values, we have exploited the multicriteria AHP method. The cost function represents the cost of users toward available BS. It includes the essential criteria influencing energy consumption. Moreover, we introduce an optimal user association based on their minimal cost values. Simulation results prove that the optimal method has saved more energy and reduced network interferences.

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