Energy reduction in small cell networks by a random on/off strategy

Celebi, Haluk; Maxemchuk, Nicholas F.; Li, Yun; Güvenç, İsmail

doi:10.1109/glocomw.2013.6824982

Cited by 12 publications

(8 citation statements)

References 8 publications

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“…Capacity gain depends on the transmit power gain. In fact, it is shown in [8] that transmit power gain is a function of the idle cell density. If the idle cell density is small with respect to active and sleep cell densities, potential transmit power gain is large.…”

Section: Simulation and Discussionmentioning

confidence: 99%

Capacity and Energy-Efficiency of Delayed Access Scheme for Small Cell Networks

Celebi

Güvenç

Schulzrinne

2019

2019 Wireless Telecommunications Symposium (WTS)

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Data applications may typically tolerate a moderate delay before packet transmission between user equipment (UE) and cell begins. This delay can be taken advantage to reduce the communication distance, improve coverage probability, and increase overall energy-efficiency of the small cell network. To demonstrate such merits, we suggest a simple access scheme and analyze the distribution of coverage probability and throughput as a function of delay and transmit distance. Sufficient number of small base stations (SBSs) handle the peak traffic load. To improve energy-efficiency of the network, a number of SBSs are switched off at low traffic periods. Energy-efficiency can be further improved by turning all of the SBSs on and off, rather than selecting a subset and leaving them off. By doing so, coverage probability and bit-rate can be improved by delaying their transmissions and waiting for a closer SBS to become available. Results show that by turning SBSs on and off continuously and taking advantage of initial delay to connect a SBS yield an order of magnitude improvement in energy-efficiency, improves the coverage probability significantly at low signal to interference and noise (SINR) regime.

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Section: Simulation and Discussionmentioning

confidence: 99%

Capacity and Energy-Efficiency of Delayed Access Scheme for Small Cell Networks

Celebi

Güvenç

Schulzrinne

2019

2019 Wireless Telecommunications Symposium (WTS)

Self Cite

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“…It can be observed that sleeping mode operation for energy efficiency improvements in SBSs will also introduce a source of latency. In [173], the energy-efficiency versus delay trade-off is investigated and optimality conditions for UE's transmit power is derived. By postponing the access of the users, energy efficiency of the system can be improved.…”

Section: J Cran and Other Aspectsmentioning

confidence: 99%

A Survey on Low Latency Towards 5G: RAN, Core Network and Caching Solutions

Parvez

Rahmati

Güvenç

et al. 2018

IEEE Commun. Surv. Tutorials

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766

395

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The fifth generation (5G) wireless network technology is to be standardized by 2020, where main goals are to improve capacity, reliability, and energy efficiency, while reducing latency and massively increasing connection density. An integral part of 5G is the capability to transmit touch perception type real-time communication empowered by applicable robotics and haptics equipment at the network edge. In this regard, we need drastic changes in network architecture including core and radio access network (RAN) for achieving end-to-end latency on the order of 1 ms. In this paper, we present a detailed survey on the emerging technologies to achieve low latency communications considering three different solution domains: RAN, core network, and caching. We also present a general overview of 5G cellular networks composed of software defined network (SDN), network function virtualization (NFV), caching, and mobile edge computing (MEC) capable of meeting latency and other 5G requirements.

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“…Therefore, further expanding the neighborhood increases the cost of the BSs which can be seen for ε d ≤ 200 m. Clustering with only loadbased similarity, θ = 0, displays similar behavior as the joint similarity. The main reason is that the load-based similarity uses (9) to determine the existence of edges. Therefore, the limitation based on the distance implicitly appears in the load-based similarity as well.…”

Section: B Reductions Of Energy Consumption and Time Loadmentioning

confidence: 99%

“…Although these interesting works enable notable energy reductions in small cell networks, they do not provide thorough analytical studies on the convergence and the optimality of the solution obtained from the proposed algorithms. In addition, some of practical problems of small cells such as the selfish behavior of BSs, the inefficient BS switching between ON and OFF, the underutilized radio spectrum as well as the potential undesirable outages at BSs are not taken into account [8], [9], [11].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Clustering and on/off Strategies for Wireless Small Cell Networks

Samarakoon

Bennis

Saad

et al. 2016

IEEE Trans. Wireless Commun.

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In this paper, a novel cluster-based approach for maximizing the energy efficiency of wireless small cell networks is proposed. A dynamic mechanism is proposed to group locallycoupled small cell base stations (SBSs) into clusters based on location and traffic load. Within each formed cluster, SBSs coordinate their transmission parameters to minimize a cost function which captures the tradeoffs between energy efficiency and flow level performance, while satisfying their users' quality-of-service requirements. Due to the lack of inter-cluster communications, clusters compete with one another in order to improve the overall network's energy efficiency. This inter-cluster competition is formulated as a noncooperative game between clusters that seek to minimize their respective cost functions. To solve this game, a distributed learning algorithm is proposed using which clusters autonomously choose their optimal transmission strategies based on local information. It is shown that the proposed algorithm converges to a stationary mixed-strategy distribution which constitutes an epsilon-coarse correlated equilibrium for the studied game. Simulation results show that the proposed approach yields significant performance gains reaching up to 36% of reduced energy expenditures and up to 41% of reduced fractional transfer time compared to conventional approaches. Index Terms-Smallcell networks; energy efficiency; learning; game theory; 5G. Sumudu Samarakoon received his B. Sc. (Hons.) degree in Electronic and Telecommunication Engineering from the University of Moratuwa, Sri Lanka and the M. Eng. degree from the Asian Institute of Technology, Thailand in 2009 and 2011, respectively. He is currently persuading Dr. Tech degree in Communications Engineering in University of Oulu, Finland. Sumudu is also a member of the research staff of the Centre for Wireless Communications (CWC), Oulu, Finland. His main research interests are in heterogeneous networks, radio resource management, machine learning, and game theory.

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Energy reduction in small cell networks by a random on/off strategy

Cited by 12 publications

References 8 publications

Capacity and Energy-Efficiency of Delayed Access Scheme for Small Cell Networks

Capacity and Energy-Efficiency of Delayed Access Scheme for Small Cell Networks

A Survey on Low Latency Towards 5G: RAN, Core Network and Caching Solutions

Dynamic Clustering and on/off Strategies for Wireless Small Cell Networks

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