A survey on sleep mode techniques for ultra-dense networks in 5G and beyond

2021 ◽  
pp. 108567
Author(s):  
Fatima Salahdine ◽  
Johnson Opadere ◽  
Qiang Liu ◽  
Tao Han ◽  
Ning Zhang ◽  
...  
Keyword(s):  
Sleep Mode ◽  
Dense Networks

An Optimal Switching-off eNB Selection Algorithm in LTE Hyper-dense Networks

2015 ◽  
Vol 7 (4) ◽  
pp. 57-68
Author(s):  
Ding Fei ◽  
Tong En ◽  
Pan Zhiwen ◽  
You Xiaohu ◽  
Song Aigu
Keyword(s):  
Energy Conservation ◽  
Conservation Strategy ◽  
Sleep Mode ◽  
Optimal Switching ◽  
Coverage Area ◽  
Dense Networks ◽  
Network Load ◽  
Simultaneous Switching ◽  
Saving Effect

Although the application of the exhaustive search (ES) algorithm in the energy conservation strategy can realize the simultaneous switching off of multiple eNBs in the existing eNB-based (Evolved Node B) networks, it fails to satisfy the practical requirement of network deployment with the heavy computation burden. On account of this, this paper proposes an optimal switching-off eNB selection (OSS) algorithm in homogeneous networks. By selecting a certain cell within the coverage of multiple eNBs, the OSS algorithm can make an evaluation of the increment of network load caused by the switching off of various eNBs in the coverage area. Then it can sort one by one all of the eNBs that are to be switched off under the condition that the QoS (Quality of service) requirement of all of the users has been met. Afterwards, the OSS algorithm will switch the users according to the principle of least network load increment and eventually find an eNB that shows the optimal energy saving effect in sleep mode. The simulation results reveal that the OSS algorithm can satisfy the requirement of efficient energy conservation in wireless networks. Additionally, with low computational complexity, it also will facilitate network deployment.

Energy-Efficient Mobility-Aware Caching Algorithms for Clustered Small Cells in Ultra-Dense Networks

2019 ◽  
Vol 68 (7) ◽  
pp. 6833-6846 ◽  
Author(s):  
Iman Keshavarzian ◽  
Zolfa Zeinalpour-Yazdi ◽  
Aliakbar Tadaion
Keyword(s):  
Energy Efficient ◽  
Small Cells ◽  
Dense Networks

scholarly journals An Adaptive Cell Selection Scheme for 5G Heterogeneous Ultra-Dense Networks

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 64224-64240
Author(s):  
Ibtihal Ahmed Alablani ◽  
Mohammed Amer Arafah
Keyword(s):  
Cell Selection ◽  
Selection Scheme ◽  
Dense Networks
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