Resource Allocation with QoS Supporting in Macro-Femtocell Networks

Lee, Jong-Chan; Lee, Moon-Ho

doi:10.14257/ijmue.2015.10.1.34

Cited by 3 publications

(2 citation statements)

References 21 publications

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“…In recent years, wireless networks have been suffering from exponentially increasing demand to support various new applications and data services such as online games, Voice over IP (VoIP), Internet of Things (IoT), Vehicle-to-everything (V2X) communications, e-Health, Mobile Edge Computing (MEC), video streaming and cloud computing which require high-speed network access. Explosive demands for such applications and services increase internet traffics by 50~60% each year (Lee and Lee, 2015). It is estimated by IMT-2020 (5G) promotion group that the global mobile data traffic will grow by more than 200 times from 2010-2020 and by nearly 20,000 times from 2010-2030.…”

Section: Introductionmentioning

confidence: 99%

“…This scheme has better spectral efficiency. However, it leads to cross-tier interference that needs to be addressed (Lee and Lee, 2015;Hatoum et al, 2013). In practice, the femtocell is deployed over the existing macrocell network by spectrum sharing rather than spectrum splitting between tiers due to the scarce availability of spectrum and absence of coordination between macrocells and femtocells on spectrum allocation.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Resource Allocation in OFDMA Femtocell Based LTE and 5G Networks with QoS Guarantees

Hafez¹,

Jaamour²,

Khorzom³

2019

J. Eng. Appl. Sci.

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Expanding network capacity and guaranteeing the Quality of Service (QoS) are significant goals in fifth-Generation (5G) for high densities of mobile terminals. Femtocell-based 5G is an essential radio access technology that meets the exponentially increasing demand. Femtocells have emerged as an efficient solution for improving the capacity and coverage of wireless cellular networks, especially, for indoor wireless users. However because of the limited wireless radio resources, resource allocation is a key issue in femtocell networks. Motivated by this challenge in this study, we propose an efficient resource allocation approach that satisfies the QoS requirements for High-Priority (HP) users while serving Best-Effort (BE) users effectively as possible. The user differentiation strategy ensures the QoS guarantee uponthe priority level of each user. We consider major metrics for performance evaluation which are: the rate of rejected users, throughput satisfaction rate, spectrum spatial reuse and fairness. Dedicated simulations prove that our proposal outperforms one of the most effective techniques in the literature.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%