Traffic-aware user association technique for dynamic on/off switching of small cells

Elbassiouny, Shady O.; Elhamy, A.; Ibrahim, Amany

doi:10.1109/wcnc.2015.7127583

Cited by 9 publications

(2 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Joint user association and resource allocation is investigated in [10], and a belief propagation algorithm is proposed for joint user association, sub-channel allocation, and power control. Energy-efficient and traffic-aware user association are studied in [11] and [12], correspondingly. The results show that exploiting the available context-aware information, for example, users' measurements and requirements, as well as knowledge of the network, can improve energy-and spectrum-efficiency when performing the user association.…”

Section: A Motivation and Contributionmentioning

confidence: 99%

Distributed User Association in Energy Harvesting Small Cell Networks: A Probabilistic Bandit Model

Hossain

2017

IEEE Trans. Wireless Commun.

View full text Add to dashboard Cite

We consider a distributed downlink user association problem in a small cell network, where small cells obtain the required energy for providing wireless services to users through ambient energy harvesting. Since energy harvesting is opportunistic in nature, the amount of harvested energy is a random variable, without any a priori known characteristics. Moreover, since users arrive in the network randomly and require different wireless services, the energy consumption is a random variable as well.In this paper, we propose a probabilistic framework to mathematically model and analyze the random behavior of energy harvesting and energy consumption in dense small cell networks. Furthermore, as acquiring (even statistical) channel and network knowledge is very costly in a distributed dense network, we develop a bandit-theoretical formulation for distributed user association when no information is available at users.

show abstract

Section: A Motivation and Contributionmentioning

confidence: 99%

Distributed User Association in Energy Harvesting Small Cell Networks: A Probabilistic Bandit Model

Hossain

2017

IEEE Trans. Wireless Commun.

View full text Add to dashboard Cite

show abstract

“…Joint user association and resource allocation is investigated in [10], where a belief propagation algorithm is proposed for joint user association, sub-channel allocation, and power control. Energy-efficient and traffic-aware user association are studied in [11] and [12], correspondingly. Both studies show the potential of exploiting the available context-aware information, for example, users' measurements and requirements, as well as knowledge of the network, to associate the users in an energy-and spectrum-efficient way.…”

Section: Introductionmentioning

confidence: 99%

Distributed User Association in Energy Harvesting Small Cell Networks: An Exchange Economy With Uncertainty

Hossain¹

2017

IEEE Trans. on Green Commun. Netw.

View full text Add to dashboard Cite

We consider a distributed user association problem in the downlink of a small cell network, where small cells obtain the required energy for providing wireless services to users through ambient energy harvesting. Since energy harvesting is opportunistic in nature, the amount of harvested energy is a random variable, without a priori known characteristics. We model the network as a competitive market with uncertainty, where self-interested small cells, modeled as consumers, are willing to maximize their utility scores by selecting users, represented by commodities.The utility scores of small cells depend on the amount of harvested energy, formulated as natures' state. Under this model, the problem is to assign users to small cells, so that the aggregate network utility is maximized. The solution is the general equilibrium under uncertainty, also called Arrow-Debreu equilibrium. We show that in our setting, such equilibrium not only exists, but also is unique and is Pareto optimal in the sense of expected aggregate network utility. We use the Walras' tatonnement process with some modifications in order to implement the equilibrium efficiently.

show abstract

An Interference Contribution Rate Based Small Cells On/Off Switching Algorithm for 5G Dense Heterogeneous Networks

et al. 2018

View full text Add to dashboard Cite

Traffic-aware user association technique for dynamic on/off switching of small cells

Cited by 9 publications

References 2 publications

Distributed User Association in Energy Harvesting Small Cell Networks: A Probabilistic Bandit Model

Distributed User Association in Energy Harvesting Small Cell Networks: A Probabilistic Bandit Model

Distributed User Association in Energy Harvesting Small Cell Networks: An Exchange Economy With Uncertainty

An Interference Contribution Rate Based Small Cells On/Off Switching Algorithm for 5G Dense Heterogeneous Networks

Contact Info

Product

Resources

About