Mobile association problem in heterogenous wireless networks with mobility

Coucheney, Pierre; Hyon, Emmanuel; Kélif, Jean-Marc

doi:10.1109/pimrc.2013.6666684

Cited by 7 publications

(10 citation statements)

References 12 publications

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“…Very few research efforts have been made by considering user mobility and content caching jointly. Some schemes such as the work of Coucheney et al consider either users' mobility or users' file demand information. Besides, there exist few contributions that considered mobility and caching together such as users' mobility‐aware caching and user‐association and user behavior aware cell‐association .…”

Section: Related Workmentioning

confidence: 99%

“…7 Mainly, LB schemes are devised under certain objectives, such as users' DL rate maximization, [9][10][11][12] overall network energy efficiency optimization, 18 cell capacity and coverage optimization, 8 global outage probability minimization 19 and network mobility management. 20 Load balancing schemes can be classified into a reactive or proactive scheme, based on their mode of operation. Reactive LB schemes ignore incipient cell congestion and activate CIOs after one or more cells become congested.…”

Section: Related Workmentioning

confidence: 99%

“…Therefore, LB mechanism is considered as an indispensable approach for network resource optimization . Mainly, LB schemes are devised under certain objectives, such as users' DL rate maximization, overall network energy efficiency optimization, cell capacity and coverage optimization, global outage probability minimization and network mobility management . Load balancing schemes can be classified into a reactive or proactive scheme, based on their mode of operation.…”

Section: Related Workmentioning

confidence: 99%

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Leveraging mobility and content caching for proactive load balancing in heterogeneous cellular networks

Manzoor

Mazhar

Asghar

et al. 2019

Trans Emerging Tel Tech

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Evolution of cellular networks into dynamic, dense, and heterogeneous networks have introduced new challenges for cell resource optimization, especially in the imbalanced traffic load regions. Numerous load balancing schemes have been proposed to tackle this issue; however, they operate in a reactive manner that confines their ability to meet the top‐notch quality of experience demands. To address this challenge, we propose a novel proactive load balancing scheme. Our framework learns users' mobility and demands statistics jointly to proactively cache future contents during their stay at lightly loaded cells, which results in quality of experience maximization and load minimization. System level simulations are performed and compared with the state‐of‐the‐art reactive schemes.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Leveraging mobility and content caching for proactive load balancing in heterogeneous cellular networks

Manzoor

Mazhar

Asghar

et al. 2019

Trans Emerging Tel Tech

View full text Add to dashboard Cite

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“…and N th is the thermal noise power. In numerical implementations presented in section IV use the fluid model [6] to simplify the calculations of (8) and (9). We now derive in the next section the QoS indicators of the heterogeneous network.…”

Section: Sinrmentioning

confidence: 99%

“…They obtain expressions for some characteristic times, optimal cell sizes and maximum velocities satisfying criteria leading to a successful communication. Authors of [9] model mobility in an heterogeneous network (WiFi and HSDPA cells) using migration rates following Markov Modulated Poisson Process. Using the optimal policy of the association problem, authors show that mobility improves performance under certain assumptions.…”

Section: Introductionmentioning

confidence: 99%

Impact of mobility on QoS in heterogeneous wireless networks

Touati

Kélif

Coupechoux

2015

2015 IEEE International Conference on Communication Workshop (ICCW)

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This paper develops a model evaluating the impact of mobility in heterogeneous wireless networks by the way of analytical expressions of the spatio-temporal evolution of QoS indicators. Such formulas are obtained by introducing a multiuser averaged mobility pattern named density of users. Among the set of densities, we use a Gaussian form of this quantity, which results from a modeling method based on the maximum entropy principle. Numerical results show the temporal variations of the QoS indicators and highlight the combined effects of network heterogeneity due to the presence of macro and small cells, and traffic variations due to mobility.

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User Association in 5G Networks: A Survey and an Outlook

Dan-tong

Wang

Chen

et al. 2016

IEEE Commun. Surv. Tutorials

496

272

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The fifth generation (5G) mobile networks are envisioned to support the deluge of data traffic with reduced energy consumption and improved quality of service (QoS) provision. To this end, the key enabling technologies, such as heterogeneous networks (HetNets), massive multiple-input multiple-output (MIMO) and millimeter wave (mmWave) techniques, are identified to bring 5G to fruition. Regardless of the technology adopted, a user association mechanism is needed to determine whether a user is associated with a particular base station (BS) before the data transmission commences. User association plays a pivotal role in enhancing the load balancing, the spectrum efficiency and the energy efficiency of networks. The emerging 5G networks introduce numerous challenges and opportunities for the design of sophisticated user association mechanisms. Hence, substantial research efforts are dedicated to the issues of user association in HetNets, massive MIMO networks, mmWave networks and energy harvesting networks. We introduce a taxonomy as a framework for systematically studying the existing user association algorithms. Based on the proposed taxonomy, we then proceed to present an extensive overview of the state-of-the-art in user association conceived for HetNets, massive MIMO, mmWave and energy harvesting networks. Finally, we summarize the challenges as well as opportunities of user association in 5G and provide design guidelines and potential solutions for sophisticated user association mechanisms.Comment: 26 pages; accepted to appear in IEEE Communications Surveys and Tutorial

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Mobile association problem in heterogenous wireless networks with mobility

Cited by 7 publications

References 12 publications

Leveraging mobility and content caching for proactive load balancing in heterogeneous cellular networks

Leveraging mobility and content caching for proactive load balancing in heterogeneous cellular networks

Impact of mobility on QoS in heterogeneous wireless networks

User Association in 5G Networks: A Survey and an Outlook

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