Dynamic Clustering for Power Effective Small Cell Deployment in HetNet 5G Networks

被引:11
|
作者
Dghais, Wael [1 ,2 ,4 ]
Souilem, Malek [1 ,3 ,4 ]
Chi, Hao Ran [1 ]
Radwan, Ayman [1 ]
Taha, Abd-Elhamid M. [5 ]
机构
[1] Inst Telecomun, Campus Univ Santiago, P-3810193 Aveiro, Portugal
[2] Univ Sousse, Inst Super Sci Appl & Technol Sousse, Sousse, Tunisia
[3] Univ Sousse, Ecole Natl Ingenieurs Sousse, Sousse, Tunisia
[4] Univ Monastir, Lab Elec Microelec, Monastir, Tunisia
[5] Alfaisal Univ, Elect Engn Dept, Riyadh 11533, Saudi Arabia
关键词
data clustering; load balancing; interference management; fuzzy-c-means clustering algorithm heterogeneous network; small cells; hot spots; WIRELESS NETWORKS; GAME;
D O I
10.1109/icc40277.2020.9149059
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper presents an improved algorithm for small cell (SCs) deployment in the heterogeneous network (HetNet) future generations of mobile networks. The sequential and fixed number of the SCs deployment is formulated as a joint optimization of load balancing and interference (JOLBI) minimization over the number and locations of the distributed user equipment (UE) forming a hotspot (HS). Then, the SCs are adaptively powered ON or OFF according to outcomes of the proposed clustering algorithms applied to the UEs' distribution. The conceived integrated solution of the JOBLI and clustering algorithm does not only satisfy the coverage constraint and maximize the minimum user throughput of the HetNet, but also enables an energy effective SCs deployment. The simulation results show that this JOLBI and clustering algorithm enables a power saving of the whole network by 35% when HS of UEs are considered in the network simulations.
引用
收藏
页数:5
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