Throughput-aware Resource Allocation for QoS Classes in LTE Networks

Ferdosian, Nasim; Othman, Мohamed; Ali, Borhanuddin Mohd; Lun, Kweh Yeah

doi:10.1016/j.procs.2015.07.344

Cited by 17 publications

(7 citation statements)

References 12 publications

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“…The QoS objective is defined as a reduction of the average transmission rate lower than 5%. This percentage is equivalent to the degradation caused by changing the QoS classes in LTE Networks [38].…”

Section: Case Studymentioning

confidence: 99%

Energy-Aware Resource Management in Heterogeneous Cellular Networks With Hybrid Energy Sources

Fletscher¹,

Suárez²,

Grace

et al. 2019

IEEE Trans. Netw. Serv. Manage.

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Abstract-In this paper, we focus on reducing the on-grid energy consumption in Heterogeneous Radio Access Networks (HetNets) supplied with hybrid power sources (grid and renewables). The energy efficiency problem is analyzed over both short-and long-timescales by means of reactive and proactive management strategies. For short-timescale case, a renewable-energy aware User Equipment (UE)-Base Station (BS) association is proposed and analyzed for the cases when no storage infrastructure is available. For long-timescale case, a traffic flow method is proposed for load balancing in renewable energy BSs, which is combined with a model predictive controller (MPC) to include forecast capabilities of the renewable energy source behavior in order to better exploit a Green HetNet with storage support. The mechanisms are evaluated with data of solar measurements from the region of Valle de Aburrá, Medellín, Colombia and wind estimations from the Moscow region, Russian Federation. Results show how the green association proposal can reduce ongrid energy consumption in a HetNet by up to 34%, while is able to exceed the savings obtained by other methods, including the best-signal level policy by up to 15%, additionally providing high network efficiency and low computational complexity. For the long-timescale case, MPC attainable savings can be up to 22% with respect to the on-grid only Macro-BS approach. Finally, an analysis of our proposals in a common scenario is included, which highlights the relevance of storage management, although emphasizing the importance of combining reactive and proactive methods in a common framework to exploit the best of each approach.

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Section: Case Studymentioning

confidence: 99%

Energy-Aware Resource Management in Heterogeneous Cellular Networks With Hybrid Energy Sources

Fletscher¹,

Suárez²,

Grace

et al. 2019

IEEE Trans. Netw. Serv. Manage.

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show abstract

“…Ferdosian and Othman has proposed a new scheme which again divides the mobile traffic into GBR and non‐GBR groups. There are four services grouped as GBR which are conversational voice, conversational video (live‐streaming), online gaming, and nonconversational video (buffered‐stream).…”

Section: Related Workmentioning

confidence: 99%

“…Soni and Tyagi proposed an algorithm, which uses the same classification method with the algorithm defined in Ferdosian et al It divides the users into two group, GBR and non‐GBR, according to their traffic information. The algorithm tries to maximize the throughput of the non‐GBR users who increase the cell spectral efficiency.…”

Section: Related Workmentioning

confidence: 99%

QoS‐aware LTE‐A downlink scheduling algorithm: A case study on edge users

Uyan

Güngör

2019

Int J Communication

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Summary 4G/LTE‐A (Long‐Term Evolution—Advanced) is the state of the art wireless mobile broadband technology. It allows users to take advantage of high Internet speeds. It makes use of the OFDM technology to offer high speed and provides the system resources both in time and frequency domain. A scheduling algorithm running on the base station holds the allocation of these resources. In this paper, we investigate the performance of existing downlink scheduling algorithms in two ways. First, we look at the performance of the algorithms in terms of throughput and fairness metrics. Second, we suggest a new QoS‐aware fairness criterion, which accepts that the system is fair if it can provide the users with the network traffic speeds that they demand and evaluate the performance of the algorithms according to this metric. We also propose a new QoS‐aware downlink scheduling algorithm (QuAS) according to these two metrics, which increases the QoS‐fairness and overall throughput of the edge users without causing a significant degradation in overall system throughput when compared with other schedulers in the literature.

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“…In this paper, the lower QoS band is defined as a 5% reduction of the average transmission rate. This percentage is equivalent to the degradation caused by changing the QoS classes in LTE Networks [48].…”

Section: Quality-of-service Objectivementioning

confidence: 99%

Atomicity and Non-Anonymity in Population-Like Games for the Energy Efficiency of Hybrid-Power HetNets

Fletscher

Barreiro-Gómez

Ocampo‐Martínez

et al. 2018

IEEE Trans. Netw. Serv. Manage.

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In this paper, the user-base station (BS) association problem is addressed to reduce grid consumption in heterogeneous cellular networks (HetNets) powered by hybrid energy sources (grid and renewable energy). The paper proposes a novel distributed control scheme inspired by population games and designed considering both atomicity and non-anonymity -i.e., describing the individual decisions of each agent. The controller performance is considered from an energy-efficiency perspective, which requires the guarantee of appropriate qualityof-service (QoS) levels according to renewable energy availability. The efficiency of the proposed scheme is compared with other heuristic and optimal alternatives in two simulation scenarios. Simulation results show that the proposed approach inspired by population games reduces grid consumption by 12% when compared to the traditional best-signal-level association policy.

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Throughput-aware Resource Allocation for QoS Classes in LTE Networks

Cited by 17 publications

References 12 publications

Energy-Aware Resource Management in Heterogeneous Cellular Networks With Hybrid Energy Sources

Energy-Aware Resource Management in Heterogeneous Cellular Networks With Hybrid Energy Sources

QoS‐aware LTE‐A downlink scheduling algorithm: A case study on edge users

Atomicity and Non-Anonymity in Population-Like Games for the Energy Efficiency of Hybrid-Power HetNets

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