Energy-Efficient Base Station Deployment in Heterogeneous Networks

Coskun, Cemil Can; Ayanoğlu, Ender

doi:10.1109/lwc.2014.2356203

Cited by 26 publications

(26 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Node deployment problems also appear in the context of cellular networks [9]- [11]. Coskun et al [9] analyze the BS deployment in heterogeneous cellular networks including macro and micro BSs.…”

Section: Related Work and Applicationsmentioning

confidence: 99%

“…The corresponding average distortion is the total channel capacity divided by the total power and the corresponding constraint requires a capacity threshold. In [9], a greedy algorithm is proposed to optimize the micro BS deployment. Zhang et al [10] consider a multi-tier cellular network where BSs are placed in multiple tiers.…”

Section: Related Work and Applicationsmentioning

confidence: 99%

See 1 more Smart Citation

A Source Coding Perspective on Node Deployment in Two-Tier Networks

Guo

Koyuncu

Jafarkhani

2018

IEEE Trans. Commun.

View full text Add to dashboard Cite

Abstract-Multi-tier networks have many applications in different fields. We define a novel two-tier quantizer that can be applied to different node deployment problems including the energy conservation in two-tier wireless sensor networks (WSNs) consisting of N access points (APs) and M fusion centers (FCs). We aim at finding an optimal deployment of APs and FCs to minimize the average weighted total, or Lagrangian, of sensor and AP powers. For one fusion center, M = 1, we show that the optimal deployment of APs is simply a linear transformation of the optimal N -level quantizer for density f , and the sole FC should be located at the geometric centroid of the sensing field. We also provide the exact expression of the AP-Sensor power function and prove its convexity. For more than one fusion center, M > 1, we provide a necessary condition for the optimal deployment. Furthermore, to numerically optimize the AP and FC deployment, we propose three Lloyd-like algorithms and analyze their convergence. Simulation results show that our algorithms outperform the existing algorithms.

show abstract

Section: Related Work and Applicationsmentioning

confidence: 99%

Section: Related Work and Applicationsmentioning

confidence: 99%

A Source Coding Perspective on Node Deployment in Two-Tier Networks

Guo

Koyuncu

Jafarkhani

2018

IEEE Trans. Commun.

View full text Add to dashboard Cite

show abstract

“…To lower the consumption, it is found that an improved and efficient deployment of SCs must be taken into consideration for economical and environmental advantages. Several solutions and strategies related to improvements of energy efficiency such as change in BS hardware, heterogeneous deployments, resource management, and network deployments are proposed . In Reference , authors have presented the effect on power consumption in heterogeneous cellular network with MCs and varying SCs.…”

Section: Introductionmentioning

confidence: 99%

Effect on energy efficiency with small cell deployment in heterogeneous cellular networks

Borah

Hussain

Bora

2019

Internet Technology Letters

View full text Add to dashboard Cite

Recently, data demand has grown explosively due to tremendous growth in cellular traffic. To meet the user's data requirement, Small cells (SCs) have been overlaid with existing macro cell (MC) leading to heterogeneity to the network. Although SCs enhances system throughput, to find the required number of SCs and energy efficiency of such network is of concern for vendors. Looking at the real‐world scenario of user's distribution in a geographical area, authors consider the SCs (eg, Picocells) deployment as uniform or cluster based (user‐density and k‐means). The work considers uniform deployment of SCs modeled as homogeneous Poisson Point Process (PPP) and user clusters are considered for user‐density‐based and k‐means‐based deployment. The locations for SCs is considered in the cell boundaries and hotspot regions where user density is highly consistent, huge gathering takes place, mobility is seldom and data demand is high such as at railway stations, shopping malls, working farms and organization, etc. The downlink performances in terms of average user throughput, system capacity and network energy efficiency for these three deployments of SC base‐stations in a heterogeneous network are explored. User distributions are modeled by adopting Cox process (also known as doubly stochastic poison process) and cluster process in the heterogeneous network operating area. It is observed that energy efficiency in terms of bps per watt decreases after a certain number of SCs for uniform and k‐means‐based deployment. The results show better performance for user‐density‐based SCs deployment compared to uniform and k‐means one.

show abstract

“…As regards to AP selection, a range of sophisticated strategies have been conceived for large-scale wireless access networks relying for example on game theory [11], [12], on price theory [13], [14], on Markov decision processes (MDP) [15], etc. Most of them aim for balancing the traffic load of the APs, as well as for providing an improved QoS [16], [17], [18].…”

Section: Introductionmentioning

confidence: 99%

Network Association Strategies for an Energy Harvesting Aided Super-WiFi Network Relying on Measured Solar Activity

Wang

Jiang

Han

et al. 2016

IEEE J. Select. Areas Commun.

View full text Add to dashboard Cite

Abstract-The 'super-WiFi' network concept has been proposed for nationwide Internet access in the USA. However, the traditional mains power supply is not necessarily ubiquitous in this large-scale wireless network. Furthermore, the non-uniform geographic distribution of both the based stations and of the teletraffic requires carefully considered user-association. Relying on the rapidly developing energy harvesting techniques, we focus our attention on the sophisticated access point selection strategies conceived for the energy harvesting aided super-WiFi network. Explicitly, we propose a solar radiation model relying on the historical solar activity observation data provided by the University of Queensland, followed a beneficial radiation parameter estimation method. Furthermore, we formulate both a Markov decision process (MDP) as well as a partially observable Markov decision process (POMDP) for supporting the users' decisions on beneficially selecting access points. Moveover, we conceived iterative algorithms for implementing our MDP and POMDP based AP-selection, respectively. Finally, our performance results are benchmarked against a range of traditional decision-making algorithms. Index Terms-Super WiFi network, access point selection algorithm, energy harvesting model, MDP, POMDP.

show abstract

Energy-Efficient Base Station Deployment in Heterogeneous Networks

Cited by 26 publications

References 16 publications

A Source Coding Perspective on Node Deployment in Two-Tier Networks

A Source Coding Perspective on Node Deployment in Two-Tier Networks

Effect on energy efficiency with small cell deployment in heterogeneous cellular networks

Network Association Strategies for an Energy Harvesting Aided Super-WiFi Network Relying on Measured Solar Activity

Contact Info

Product

Resources

About