Mobility management in HetNets: a learning-based perspective

Simsek, Meryem; Bennis, Mehdi; Güvenç, İsmail

doi:10.1186/s13638-015-0244-2

Cited by 32 publications

(11 citation statements)

References 23 publications

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“…In [30], a MAB based distributed channel selection is proposed to use vacant cellular channels in device to device (D2D) communication. To enhance handover process and increase throughput, MAB techniques based context-aware mobility management scheme is studied in [31]. In [32], dynamic rate adaptation and channel selection from free primary users have been proposed in cognitive radio systems using MAB, which yields extensive throughput improvements.…”

Section: Related Workmentioning

confidence: 99%

CBRS Spectrum Sharing between LTE-U and WiFi: A Multiarmed Bandit Approach

Parvez

Sriyananda

Güvenç

et al. 2016

Mobile Information Systems

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The surge of mobile devices such as smartphone and tablets requires additional capacity. To achieve ubiquitous and high data rate Internet connectivity, effective spectrum sharing and utilization of the wireless spectrum carry critical importance. In this paper, we consider the use of unlicensed LTE (LTE-U) technology in the 3.5 GHz Citizens Broadband Radio Service (CBRS) band and develop a multiarmed bandit (MAB) based spectrum sharing technique for a smooth coexistence with WiFi. In particular, we consider LTE-U to operate as a General Authorized Access (GAA) user; hereby MAB is used to adaptively optimize the transmission duty cycle of LTE-U transmissions. Additionally, we incorporate downlink power control which yields a high energy efficiency and interference suppression. Simulation results demonstrate a significant improvement in the aggregate capacity (approximately 33%) and cell-edge throughput of coexisting LTE-U and WiFi networks for different base station densities and user densities.

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Section: Related Workmentioning

confidence: 99%

CBRS Spectrum Sharing between LTE-U and WiFi: A Multiarmed Bandit Approach

Parvez

Sriyananda

Güvenç

et al. 2016

Mobile Information Systems

Self Cite

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“…However, the use of the set of cell switching procedures and parameters designed for a macro cellular network can degrade the mobility performance in HetNets [4], albeit the same set is used at present [5]. The poor mobility performance in HetNets with high speed users can be serious problems [6], [7], [8]. The authors of [4] show that the mobility performance strongly depends on the cell size and the user speed in HetNets.…”

Section: Introductionmentioning

confidence: 99%

“…The authors in [11] also proposed keeping the high speed users under the macro service but additionally consider the QoS of the application and so, three speed levels are used for the decision. The authors in [7] also proposed a context-aware mobility management procedure for Het-Nets, in which the resources are allocated to the users based on their velocities and historical data rates. The authors in [12] proposed network controlled macro cell mobility, while the small cell mobility is proposed to be UE autonomous.…”

Section: Introductionmentioning

confidence: 99%

Versatile Controllability over Cell Switching for Speedy Users in LTE HetNets

Kawser¹,

Islam²,

Rahim³

et al. 2017

RADIOENGINEERING

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The heterogeneous networks (HetNets) are regarded as a promising solution in LTE-Advanced for ubiquitous and cost effective broadband user experience. But there are challenges to support seamless mobility in Het-Nets, especially, when the user speed is high. In this paper, we investigate these challenges and study the scopes to address them for the improvement of cell edge performance. The study indicates the requirement of enhanced and versatile controllability over adaptation of cell switching parameters that simultaneously depends on variation in user speeds, traffic loads, street patterns, types of cells involved in switching, and so forth. We propose a scheme to scale cell switching parameters that incorporates Doppler spread estimation and adapts smoothly to various changes. Both the eNodeB and the UE participate in a versatile control over the scaling. Limited simulations have been performed to partially reflect the outcome of the proposed scheme.

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“…The paper "Mobility Management in HetNets: A Learning Based Perspective" by Simsek et al [17] proposes a history-based context-aware mobility management (MM) procedure for small-cell HetNets. It makes use of reinforcement learning techniques and inter-cell coordination for improving the handover and throughput performance of UEs.…”

Section: Deployment and Management In Small Cell Networkmentioning

confidence: 99%

Technical advances in the design and deployment of future heterogeneous networks

Kliks

Pérez‐Romero

Boukhatem

et al. 2015

J Wireless Com Network

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The trend in wireless communications systems is the enhancement of the network infrastructure with the introduction of small cells, where a specific geographical area is served by low-range, low-power access points. The result is the creation of a heterogeneous topology where macrocells coexist with a variety of small-cell types. In this editorial article we briefly summarize the recent technical advances in the design and deployment of future heterogeneous networks addressed in the papers that compose this special issue. In particular the following aspects are considered: the design of interference and radio resource management algorithms, the analysis of the energy efficiency and power control issues in heterogeneous networks, the concept of coordination in small cell networks, key backhaul aspects of HetNets, deployment issues and overall management strategies.

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Mobility management in HetNets: a learning-based perspective

Cited by 32 publications

References 23 publications

CBRS Spectrum Sharing between LTE-U and WiFi: A Multiarmed Bandit Approach

CBRS Spectrum Sharing between LTE-U and WiFi: A Multiarmed Bandit Approach

Versatile Controllability over Cell Switching for Speedy Users in LTE HetNets

Technical advances in the design and deployment of future heterogeneous networks

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