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Non-Orthogonal Multiple Access for Ultra-Dense Cellular Networks with Base Station Sleeping
5G World Forum, 2020The high throughput demand from mobile subscribers can be satisfied by utilizing small cell aided ultra dense networks (UDNs). However, excessive deployment of such cells in UDNs results in significant increase in energy consumption of the network.
Garima Chopra +3 more
semanticscholar +1 more source
Dynamic sleeping algorithm of base station based on spatial features
2014 21st International Conference on Telecommunications (ICT), 2014Since access networks are deployed to support peak traffic, part of base stations always keep active during off-peak period, resulting energy dissipation. In this paper, we propose a dynamic Base Station (BS) sleeping algorithm to reduce energy consumption, which exploits dynamic characteristics of mobile data traffic on time and spatial dimensions ...
Hui Liu, Hongyan Cui, Jianya Chen
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Energy-efficient 5G cloud RAN with virtual BBU server consolidation and base station sleeping
Comput. Networks, 2020Heterogeneous network (HetNet) deployment where macro cells are overlaid by small cells is considered a de-facto solution for meeting the ever increasing mobile traffic demand in fifth generation (5G) networks.
Tshiamo Sigwele +2 more
semanticscholar +1 more source
Small Cell Base Station Sleep Strategies for Energy Efficiency
IEEE Transactions on Vehicular Technology, 2016Small cell networks offer a promising and viable approach to meeting the increasing demand for high-data-rate wireless applications. With the expected increase in the number of small cell deployments, energy efficiency (EE) is a crucial system design parameter that demands consideration from an eco-sustainability perspective.
Chang Liu +2 more
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A Base Station Sleep Management Scheme Based on Simulated Annealing Algorithm
2021With the advent of 5G, the energy consumption of communication industry also increases, among which the base station (BS) energy consumption accounts for 43% of the total energy consumption of mobile communication.In order to reduce the communication energy consumption, the BS sleep technology can make the BS with low load enter the sleep state ...
Wenchao Yang +3 more
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DeepNap: Data-Driven Base Station Sleeping Operations Through Deep Reinforcement Learning
IEEE Internet of Things Journal, 2018Base station (BS) sleeping is an effective way to reduce the energy consumption of mobile networks. Previous efforts to design sleeping control algorithms mainly rely on stochastic traffic models and analytical derivation.
Jingchu Liu +3 more
semanticscholar +1 more source
Base-Station Sleep Management in Open-Access Femtocell Networks
IEEE Transactions on Vehicular Technology, 2016In this paper, we focus on enhancing the energy efficiency in open-access femtocell networks where many femto base stations (BSs) are deployed in a large public area such as airports, shopping malls, etc. In those areas, the femtocells are overlapped and underutilized during most of the operation time because femto BSs are densely deployed to support ...
Juhee Kim +2 more
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A Base Station Sleeping Strategy in Heterogeneous Cellular Networks Based on User Traffic Prediction
IEEE Transactions on Green Communications and NetworkingReal-time traffic in a cellular network varies over time and often shows tidal patterns, such as the day/night traffic pattern. With this characteristic, we can reduce the energy consumption of a cellular network by consolidating workloads spreading over
Xinyu Wang +4 more
semanticscholar +1 more source
Computing-Aware Base Station Sleeping Mechanism in H-CRAN-Cloud-Edge Networks
IEEE Transactions on Cloud Computing, 2019In this paper, a power minimization problem using base station sleeping is proposed for heterogeneous cloud radio access networks (H-CRANs) taking into account the computing delay constraints.
Ali A. Alnoman, A. Anpalagan
semanticscholar +1 more source
Traffic-aware base station sleeping in dense cellular networks
2010 IEEE 18th International Workshop on Quality of Service (IWQoS), 2010The energy consumption of information and communication technology (ICT) industry has become a serious problem, which mostly comes from the network infrastructure, rather than the mobile terminals. In this paper, we consider densely deployed cellular networks where the coverage of base stations (BSs) overlaps and the traffic intensity varies over time ...
Jie Gong +3 more
openaire +1 more source