Energy-Aware Dynamic Sectorization of Base Stations in Multi-Cell OFDMA Networks

Hossain, Md. Farhad; Munasinghe, Kumudu S.; Jamalipour, Abbas

doi:10.1109/wcl.2013.080813.130481

Cited by 11 publications

(28 citation statements)

References 10 publications

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“…Assuming that AMC (Adaptive Modulation and Coding) is used, then spectral efficiency ( ) (bps/Hz) when user is served by is given by [7] …”

Section: Resource Allocation Method Assuming That There Arementioning

confidence: 99%

“…To make ES action be executed more efficiently, ESM defined by 3GPP in SON use cases [16] and self-organized BS cooperation method [19] will be adopted in this paper as a suitable management policy and compensation method. As optimization objects are discrete matrix and continuous matrix and the constraints are nonlinear, from [7], we can derive that this problem is a nonconvex optimization problem and is hard to be resolved. To make the optimization model be executed under practical networks, we should take the following four points with low-complexity methods into considerations.…”

Section: Key Points For Resolving the Modelmentioning

confidence: 99%

“…From [7], we can assume that traffic per hour is unchanged, which makes it possible to take the traffic prediction only from each hour. (2) According to traffic prediction results and regional network information, the centralized SON determines the BS mode and traffic accommodation policies.…”

Section: Management Proceduresmentioning

confidence: 99%

“…According to [7], in LTE system, ( ) is generally set as 0. Based on RB conflict principle, I ( ) can be written as…”

Section: Distribution User Allocation Algorithm (Duaa)mentioning

confidence: 99%

“…And these technologies can be classified into two categories: one is aiming at decreasing power at one time point, and the other is going to save energy during entire time domains. For the first category, BS sleep control is resolved through characterizing energydelay tradeoff [6], dynamic sectorization [7] for cells, or stochastic analysis of optimal Base Station energy [8], and so forth. However, these solutions ignore traffic fluctuations and cannot evaluate temporal ES gains.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Energy-Saving Management Mechanism Based on Hybrid Energy Supplies for LTE Heterogeneous Networks

Yu¹,

Feng

Li³

et al. 2016

Mobile Information Systems

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Aiming at the lack of integrated energy-saving (ES) methods based on hybrid energy supplies in LTE heterogeneous networks, a novel ES management mechanism considering hybrid energy supplies and self-organized network (SON) is proposed. The mechanism firstly constructs ES optimization model with hybrid energy supplies. And then a SON framework is proposed to resolve the model under practical networks. According to the framework, we divide the ES problem into four stages, which are traffic variation prediction, regional Base Station (BS) mode determination, BS-user association, and power supply. And four corresponding low-complexity algorithms are proposed to resolve them. Simulations are taken on under LTE underlay heterogeneous networks. Compared with other algorithms, results show that our mechanism can save 47.4% energy consumption of the network, while keeping coverage, interference, and service quality above acceptable levels, which takes on great green-economy significance.

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“…Assuming that AMC (Adaptive Modulation and Coding) is used, then spectral efficiency ( ) (bps/Hz) when user is served by is given by [7] …”

Section: Resource Allocation Method Assuming That There Arementioning

confidence: 99%

Section: Key Points For Resolving the Modelmentioning

confidence: 99%

Section: Management Proceduresmentioning

confidence: 99%

“…According to [7], in LTE system, ( ) is generally set as 0. Based on RB conflict principle, I ( ) can be written as…”

Section: Distribution User Allocation Algorithm (Duaa)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Energy-Saving Management Mechanism Based on Hybrid Energy Supplies for LTE Heterogeneous Networks

Yu¹,

Feng

Li³

et al. 2016

Mobile Information Systems

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Traffic‐aware two‐dimensional dynamic network provisioning for energy‐efficient cellular systems

Hossain

Munasinghe

Jamalipour

2014

Trans. Emerging Tel. Tech.

Self Cite

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Conventional peak-traffic-based provisioning of cellular mobile networks leads to a significant wastage of electrical energy. Therefore, we propose a novel traffic-aware two-dimensional dynamic network provisioning mechanism for enhancing the energy efficiency in orthogonal frequency division multiple access (OFDMA)-based cellular systems. Proposed scheme, named as joint dynamic sectorisation and switching of base station (BS), adaptively provisions cellular access networks by switching the redundant BSs as well as sectors into sleep mode. Quality of service, namely, user data rate, service continuity and network coverage, is also maintained. Because of the high complexity of the formulated generalised energy optimisation problem, the two dimensions (i.e. sector switching and BS switching) are decoupled in time-domain into two sub-problems, each executing its own heuristically guided algorithm. Moreover, a novel exponentially weighted moving average (EWMA)-based load factor estimator is employed for reducing the occurrence of network provisioning. System performance is evaluated using extensive simulations demonstrating substantial energy savings. In addition, impact on the spectral efficiency and resource utilisation is presented. Effectiveness of joint dynamic sectorisation and switching of BS is further validated by comparing with the individual application of sectorisation and BS switching. Furthermore, for realistic traffic patterns, use of EWMA estimator achieves over 40% reduction in network provisioning events without compromising energy-saving performance.

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Multiobjective self‐optimization of the cellular architecture for green 5G networks

Ferhi

Sethom

Choubani

et al. 2018

Trans Emerging Tel Tech

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Cellular architecture, energy efficiency, and self‐optimizing network are key features to meet the forecast requirements of the fifth‐generation networks. Frequently, the major optimization focus is on maximizing the data rate, but many other objectives are considered ahead to be optimized in the standardization of green fifth‐generation networks such as ubiquitous coverage, cost, availability, latency, automation, energy efficiency, load balancing, mobility, and awareness, which are often conflicting objectives. In this paper, we propose a multiobjective evolutionary framework using a real traffic profile and three‐dimensional beamforming to ensure green self‐optimization of the network cellular layouts. The framework is based on a genetic algorithm (GA) handling conflicting objectives: coverage, capacity, energy efficiency, load balancing, and mobility. The simulation results show a dynamic and automated design of the network layouts following the spatial and temporal fluctuation of the traffic. The sectors are switched‐on, shaped, and switched‐off only where and when required for both macro and virtual small cell layers.

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Energy-Aware Dynamic Sectorization of Base Stations in Multi-Cell OFDMA Networks

Cited by 11 publications

References 10 publications

Energy-Saving Management Mechanism Based on Hybrid Energy Supplies for LTE Heterogeneous Networks

Energy-Saving Management Mechanism Based on Hybrid Energy Supplies for LTE Heterogeneous Networks

Traffic‐aware two‐dimensional dynamic network provisioning for energy‐efficient cellular systems

Multiobjective self‐optimization of the cellular architecture for green 5G networks

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