Distributed $\alpha$-Optimal User Association and Cell Load Balancing in Wireless Networks

Kim, Hongseok; Veciana, Gustavo de; Yang, Xue; Venkatachalam, M.

doi:10.1109/tnet.2011.2157937

Cited by 285 publications

(249 citation statements)

References 20 publications

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“…For proportional fairness, the validity that user k is connected to either resource 1 or 2, and that the BS allocates an equal resource bandwidth to users can be confirmed by [18] and [19].…”

Section: System Modelmentioning

confidence: 99%

Investigation on Power Control Algorithm in Joint Control Method of Autonomous Cell Association and Power Control for Heterogeneous Networks

Matsui

Ito

Higuchi

2016

Journal of Signal Processing

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This paper proposes a power control algorithm for our previously reported joint control method for autonomous cell association and transmission power control of picobase stations (BSs) in heterogeneous networks with intercell interference coordination (ICIC), where low transmission-power pico-BSs are overlaid onto a high transmission-power macro-BS. We previously proposed a two-step power control algorithm whose calculation complexity is relatively low. However, the algorithm does not necessarily find the optimal solution for the given problem. Therefore, in this paper, we propose an iterative power control algorithm that always finds the optimal solution and compares the algorithm to the previous one. Based on numerical results, we show that the new optimal algorithm achieves a higher geometric mean user throughput than the previous one. However, we also show that the throughput gain is small and the previous algorithm achieves a higher geometric mean user throughput than the optimal one when we assume the same computational complexity.

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Section: System Modelmentioning

confidence: 99%

Investigation on Power Control Algorithm in Joint Control Method of Autonomous Cell Association and Power Control for Heterogeneous Networks

Matsui

Ito

Higuchi

2016

Journal of Signal Processing

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“…In contrast to traffic shaping through forced handovers, coverage adaption through power adaptation does not only affect the ongoing calls, but effectively changes the coverage area and thus changes the association of all users in the coverage area. Only a few papers have reported work in this area [79]- [84].…”

Section: B) Lb Through Power Adaptation(pa)mentioning

confidence: 99%

A Survey of Self Organisation in Future Cellular Networks

Aliu

Imran

et al. 2013

IEEE Commun. Surv. Tutorials

379

217

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This article surveys the literature over the period of the last decade on the emerging field of self organisation as applied to wireless cellular communication networks. Self organisation has been extensively studied and applied in adhoc networks, wireless sensor networks and autonomic computer networks; however in the context of wireless cellular networks, this is the first attempt to put in perspective the various efforts in form of a tutorial/survey. We provide a comprehensive survey of the existing literature, projects and standards in self organising cellular networks. Additionally, we also aim to present a clear understanding of this active research area, identifying a clear taxonomy and guidelines for design of self organising mechanisms. We compare strength and weakness of existing solutions and highlight the key research areas for further development. This paper serves as a guide and a starting point for anyone willing to delve into research on self organisation in wireless cellular communication networks.

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“…A framework for user association in infrastructurebased wireless network that considered optimal throughput, delay and load equalisation was proposed in [11].…”

Section: Related Workmentioning

confidence: 99%

Auction‐based competition of hybrid small cells for dropped macrocell users

Basutli

Lambotharan

2017

IET signal process.

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We propose an auction‐based beamforming and user association algorithm for a wireless network consisting of a macrocell and multiple small cell access points (SCAs). The SCAs compete for serving the macrocell base station (MBS) users (MUs). The corresponding user association problem is solved by the proposed bid‐wait auction method. The authors considered two scenarios. In the first scenario, the MBS initially admits the largest possible set of MUs that it can serve simultaneously and then auctions off the remaining MUs to the SCAs, who are willing to admit guest users in addition to their commitments to serve their own host users. This problem is solved by the proposed forward bid‐wait auction. In the second scenario, the MBS aims to offload as many MUs as possible to the SCAs and then admits the largest possible set of remaining MUs. This is solved by the proposed backward bid‐wait auction. The proposed algorithms provide a solution that is very close to the optimum solution obtained by using a centralised global optimisation.

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Distributed $\alpha$-Optimal User Association and Cell Load Balancing in Wireless Networks

Cited by 285 publications

References 20 publications

Investigation on Power Control Algorithm in Joint Control Method of Autonomous Cell Association and Power Control for Heterogeneous Networks

Investigation on Power Control Algorithm in Joint Control Method of Autonomous Cell Association and Power Control for Heterogeneous Networks

A Survey of Self Organisation in Future Cellular Networks

Auction‐based competition of hybrid small cells for dropped macrocell users

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