Paper Info
Title
Load Analysis And Sleep Mode Optimization For Energy-Efficient 5g Small Cell Networks
Abstract
Dense deployment of small cells is seen as one of the major approaches for addressing the traffic demands in next-generation wireless networks. However, dense deployment of large number of small cells necessitates effective techniques for placing under-loaded small cells into sleep mode, so as to save energy. Such techniques should be low complexity and should not also compromise quality of service of users such as short access delay, while they can also result in significant energy savings for delay-tolerant network traffic. In this study, we introduce energy efficient, low-complexity techniques for load-based sleep mode optimization in densely deployed 5G small cell networks. We define a new analytic model to characterize the distribution of the traffic load of a small cell using a Gamma distribution, find its distribution parameters, and verify the validity of the model using computer simulations. We also compare the throughput of various sleep mode techniques as a function of different delay tolerance levels, where our simulation results show that the proposed technique achieves the highest throughput.
Year
Venue
Keywords
2017
2017 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS (ICC WORKSHOPS)
5G, delay tolerant network (DTN), energy-efficiency, heterogeneous network, sleep mode, small cell network
Field
DocType
ISSN
Wireless network,Traffic generation model,Efficient energy use,Computer science,Computer network,Cellular traffic,Quality of service,Real-time computing,Small cell,Throughput,Sleep mode
Conference
2164-7038
Citations 
PageRank 
References 
3
0.37
8
Authors
2
Name
Order
Citations
PageRank
Haluk Celebi1392.26
Ismail Güvenç22041153.03