Optimizing Client Association for Load Balancing and Fairness in Millimeter-Wave Wireless Networks

Athanasiou, George; Weeraddana, Pradeep Chathuranga; Fischione, Carlo; Tassiulas, Leandros

doi:10.1109/tnet.2014.2307918

Cited by 102 publications

(87 citation statements)

References 36 publications

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“…Each user's contribution to the estimated BS profit, where the user was connected to at time t − 1 is subtracted (lines [8][9][10][11]. The algorithm estimates the resources needed/available in each BS, w ij (t), the expected revenue, R ij (t), and the expected satisfaction, σ ij (t) (line 13).…”

Section: Qoe-aware Association Algorithmmentioning

confidence: 99%

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A quality of experience-aware association algorithm for 5G heterogeneous networks

Trakas

Adelantado

Verikoukis

2017

2017 IEEE International Conference on Communications (ICC)

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Abstract-The rise of Over The Top (OTT) content providers and the introduction of numerous applications has been driving the growth of mobile data traffic in the past few years. The applications' various Quality of Service (QoS) requirements as well as the use of multiple devices per user have increased the traffic heterogeneity, pressing the telecommunications industry to the deployment of 5G networks in 2020. At the same time, the rise of OTT providers has also led to the decrease of the Mobile Network Operators' (MNOs) revenues. Under these circumstances, the MNOs need to guarantee the users' Quality of Experience (QoE) requirements, while ensuring the sustainability of a 5G investment. To this end, we consider a 5G Heterogeneous Network (HetNet) deployment where MNOs use a QoE-based charging scheme. We propose a heuristic, QoE-aware user association algorithm to maximize the MNO profit, while providing high QoE. Simulation results show that the proposed algorithm can handle traffic heterogeneity by achieving substantial profit and QoE gains, compared to a baseline SINR-based scheme.

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Section: Qoe-aware Association Algorithmmentioning

confidence: 99%

“…The user association problem in a SC network operating in the 60-GHz band is studied in [8]. The authors' objective is the minimization of the maximum resource utilization in the system.…”

Section: Introductionmentioning

confidence: 99%

A quality of experience-aware association algorithm for 5G heterogeneous networks

Trakas

Adelantado

Verikoukis

2017

2017 IEEE International Conference on Communications (ICC)

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“…The authors [4,18,19] proposed distributed algorithms for assigning users to SCAs using auctioning, heuristic beamforming designs, Stackelberg games and evolutionary games. Despite all these auction-based algorithms reported in [20,21], algorithms that considered multiple user access through spatial beamforming and auctioning mechanism have not been reported in the literature, which is the focus of this paper.…”

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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“…Finally, the resource allocation problem of users association has been recently addressed in future millimeter-wave access networks. For example, the authors in [21] propose a MILP aimed at minimizing the maximum AP utilization in the network and at ensuring a fair load distribution. Due to the lower stability of the millimeter-wave channel, the problem the authors address is more challenging as several events can violate the efficient operation of the network (e.g., line-of-sight may be compromised by moving obstacles).…”

Section: Related Workmentioning

confidence: 99%

Minimizing the impact of the handover for mobile users in WLAN: A study on performance optimization

Zola

Kassler

2016

Computer Networks

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IEEE 802.11 based Wireless LANs are an important piece in today's communication infrastructure in order to provide high speed wireless Internet access to static or quasi mobile users. For large WLAN deployments (i.e. Campus or enterprise WLAN), it is important to understand the impact of user mobility and handovers on the system performance. In this article, we have developed a performance model for a set of networked 802.11 based WLAN Access Points, which is based on a Mixed Integer Linear Program (MILP). The objective function tries simultaneously to maximize the total system rate while at the same time minimizing the number of handovers for a configurable handover signaling rate. Because of the conflicting nature of the two objective functions, such multi-objective optimization is difficult to explore. A detailed evaluation of the model using several scenarios involving both different numbers of static and mobile users shows that our formulation allows trading off those two objectives in a robust way.

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Optimizing Client Association for Load Balancing and Fairness in Millimeter-Wave Wireless Networks

Cited by 102 publications

References 36 publications

A quality of experience-aware association algorithm for 5G heterogeneous networks

A quality of experience-aware association algorithm for 5G heterogeneous networks

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

Minimizing the impact of the handover for mobile users in WLAN: A study on performance optimization

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