Cell Zooming for Power Efficient Base Station Operation

Balasubramaniam, Ramapriya; Nagaraj, Santosh; Sarkar, Mitali; Paolini, Christopher; Khaitan, Paras

doi:10.1109/iwcmc.2013.6583618

Cited by 50 publications

(44 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The traffic load dependent power consumption of MBS is calculated using Equation (12). Then, the power consumption of MBS is calculated using Equation (11). After that, the traffic load dependent power consumption of SBS is calculated using Equation (10).…”

Section: Of 28mentioning

confidence: 99%

“…In [10], as an extension of the original cell zooming scheme, the authors proposed an efficient energy saving scheme for BSs, where BSs are turned off when traffic load is very low and active BSs extend the cell coverage by increasing the transmission power. In [11], the authors proposed three cell zooming schemes, i.e., continuous, discrete, and fuzzy schemes. In continuous cell zooming scheme, a BS controls transmit power to cover its farthest user.…”

mentioning

confidence: 99%

See 1 more Smart Citation

An Efficient Energy Saving Scheme for Base Stations in 5G Networks with Separated Data and Control Planes Using Particle Swarm Optimization

Kang

Chung

2017

Energies

View full text Add to dashboard Cite

Abstract:Reducing energy consumption of mobile communication networks has gained significant attentions since it takes a major part of the total energy consumption of information and communication technology (ICT). In this paper, we consider 5G networks with heterogeneous macro cells and small cells, where data and control planes are separated. We consider two types of data traffic, i.e., low rate data traffic and high rate data traffic. In basic separation architecture, a macro cell base station (MBS) manages control signals, while a small cell base station (SBS) manages both low rate data traffic and high rate data traffic. In the considered modified separation architecture, an MBS manages control signals and low rate data traffic, while an SBS manages high rate data traffic. Then, an efficient energy saving scheme for base stations (BSs) is proposed, where the state of a BS is determined depending on the number of user equipments (UEs) that request high rate data traffic and the number of UEs that exist under the overlapping areas commonly covered by the considered BS and the neighbor BSs. We formulate an optimization problem for the proposed energy saving scheme and obtain the solution using particle swarm optimization (PSO). Numerical results show that the proposed energy saving scheme in the modified separated network architecture has better energy efficiency compared to the conventional energy saving schemes in both basic and modified separated network architectures. Also, the proposed energy saving scheme has lower aggregate delay.

show abstract

Section: Of 28mentioning

confidence: 99%

mentioning

confidence: 99%

An Efficient Energy Saving Scheme for Base Stations in 5G Networks with Separated Data and Control Planes Using Particle Swarm Optimization

Kang

Chung

2017

Energies

View full text Add to dashboard Cite

show abstract

“…Since then, many researchers proposed a number of feasible cell zooming algorithms that satisfied best power-saving and the constrained QoS [6]. A common notice from some previous works was [7][8][9][10][11][12] that it is necessarily important to know the traffic spatial distribution in the network in order to perform more energy-efficient cell zooming while maintaining the compromised QoS. At the same time, the challenge given was how to cope with the requirement of massive information exchange in search of traffic spatial distribution.…”

Section: Introductionmentioning

confidence: 99%

“…Recently, the authors of [12] developed and evaluated state-of-the-art dynamic cell zooming algorithms called discrete zooming, fuzzy zooming and continuous zooming. In these cell zooming algorithms, location-management strategies are required in order to know the traffic spatial distribution which is essential information to perform efficient cell zooming.…”

Section: Introductionmentioning

confidence: 99%

“…In these cell zooming algorithms, location-management strategies are required in order to know the traffic spatial distribution which is essential information to perform efficient cell zooming. Then, the continuous cell zooming algorithm showed a better performance in terms of power saving capability compared to fuzzy and discrete cell zooming algorithms (see in [12,13]). According to the concept of continuous cell zooming algorithm, periodic location update scheme is the most feasible location management strategy to know the user location for cell zooming operation [13].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Performance Analysis of Adaptive Location Update Schemes for Continuous Cell Zooming Algorithm in Wireless Networks

Tun

Kunavut²

2016

View full text Add to dashboard Cite

Abstract. To reduce the transmitted power of base stations in mobile wireless networks, continuous cell zooming algorithm is a feasible dynamic cell zooming algorithm. In this algorithm, location management is required in order to know the locations of users. Movement-based Update is not compatible and the application of Convention Periodic Update (CPU) scheme in continuous cell zooming algorithm can lead to a high signaling cost. Thus, aiming to highlight the effectiveness of newly proposed location update schemes, Time-Adaptive Periodic Update (TAPU) and Location-Adaptive Periodic Update (LAPU), a simulation-based performance analysis is conducted. Applying in continuous cell zooming algorithm, the performances of TAPU and LAPU are compared to that of Convention Periodic Update (CPU) scheme in terms of transmitted power ratio, outage ratio and the number of update messages. The performances of TAPU and LAPU are analyzed in a network with different number of users and in a network with different average moving speeds of users. The results show that compared to CPU, both TAPU and LAPU have no significant effect on power saving capability of continuous cell zooming algorithm in every scenario. Meanwhile, LAPU and TAPU give a significant reduction of update messages in every scenario. In terms of QoS effect, LAPU gives approximately the same outage ratio as CPU and a higher outage ratio occurs in TAPU.

show abstract

Enhanced MIH (media independent handover) for collaborative green wireless communications

Ameur

Esseghir

Khoukhi

et al. 2015

Int J Communication

View full text Add to dashboard Cite

Summary In this paper, we address the issue of energy saving in wireless communication networks; a special interest is given to heterogeneous networks (HetNets) which are supposed to be the key feature of the future communication networks, namely, the 5G cellular networks . In a HetNet, different communication technologies coexist; with the use of vertical handovers, the users could switch between the different operating ones. Our work aims to make the used protocols for vertical handover collaborative, in such a way to reduce the overall network energy consumption. Our study is based on Media Independent Handover (MIH) protocol . We bring modifications into this later for energy saving purposes in order to create a green collaborative MIH protocol. The proposed enhancements on MIH protocol allow gathering detailed information about network state and using them as statistics and indicators to manage network density according to traffic load and users location. Our experiments are performed using NS2.29 with National Institute of Standards and Technology (NIST) add‐on which implements the MIH protocol (802.21). By comparing the results while using our proposed contribution and the conventional MIH protocol, we can see that the modifications done allow a significant improvement in terms of energy saving while maintaining reliability. Copyright © 2015 John Wiley & Sons, Ltd.

show abstract

Cell Zooming for Power Efficient Base Station Operation

Cited by 50 publications

References 7 publications

An Efficient Energy Saving Scheme for Base Stations in 5G Networks with Separated Data and Control Planes Using Particle Swarm Optimization

An Efficient Energy Saving Scheme for Base Stations in 5G Networks with Separated Data and Control Planes Using Particle Swarm Optimization

Performance Analysis of Adaptive Location Update Schemes for Continuous Cell Zooming Algorithm in Wireless Networks

Enhanced MIH (media independent handover) for collaborative green wireless communications

Contact Info

Product

Resources

About