An MBS‐Assisted Femtocell Transmit Power Control Scheme with Mobile User QoS Guarantee in 2‐Tier Heterogeneous Femtocell Networks

Chen, Jenhui; Yang, Ching‐Chieh; Sheu, Shiann Tsong

doi:10.1155/2013/403978

Cited by 3 publications

(3 citation statements)

References 28 publications

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“…The system parameters and their values are given in Table . Note that the nominal FBS radius is the same as that used in the study of Chen et al, and the nominal FBS transmit power is the same as in the studies of Chen et al and Wang and Pedersen …”

Section: Simulation Resultsmentioning

confidence: 99%

Co‐tier downlink interference management in dense femtocell networks

Wang

Woungang

Ting

et al. 2016

Int J Communication

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With the adoption of long-term evolution standard for 4G mobile communications, the deployment of femtocell base stations (FBSs) to cope with the surging traffic in mobile wireless communication is becoming increasingly popular. However, with the random installation of FBSs, the problem of interference among FBSs is still a challenge. In this paper, assuming the presence of a femtocell management system that can control and coordinate the densely deployed FBSs, a novel power backoff scheme is proposed that determines the appropriate transmit power of each FBS so that the interference is reduced. Simulation results for randomly deployed FBSs in an environment with shadowing using MATLAB are provided, showing that our proposed methods can effectively mitigate the co-tier downlink interference while improving the system capacity in a densely deployed femtocell network with shared spectrum use. Quantitatively, the average interference is reduced by roughly 90% to 100% of dBm, and the average capacity is increased by more than 80%. These results attest to the effectiveness of the proposed scheme. KEYWORDSinterference management, femtocell base station, femtocell network, femtocell management system, spectrum usage, power consumption

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Section: Simulation Resultsmentioning

confidence: 99%

Co‐tier downlink interference management in dense femtocell networks

Wang

Woungang

Ting

et al. 2016

Int J Communication

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“…The sole purpose of the QPC is to fulfill QoS of the HeNB's users while the transmission power could be decreased, at least at low and medium traffic loads. The interference from the HeNB to the MUEs is addressed in . The power algorithm considers both the HeNBs and the UEs equipped with GPS and the eNB evaluates the distance between users and HeNBs.…”

Section: Related Workmentioning

confidence: 99%

“…So far, many power control schemes have been proposed in the literature (e.g. ). However, none of take into account the SCC services, which are characterized by ‘burstiness’ of data transmission.…”

Section: Introductionmentioning

confidence: 99%

Cloud‐aware power control for real‐time application offloading in mobile edge computing

Mach

Bečvář

2015

Trans. Emerging Tel. Tech.

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Running computationally demanding real‐time applications at the mobile user equipment (UE) is complicated because of limited battery life time of the UEs. One solution is to offload demanding computing tasks to a centralized cloud. Nevertheless, this option introduces significant delay consisting in delivery of the offloaded tasks to the cloud and back. Such delay is inconvenient for real‐time applications. To cope with high delay, a concept of mobile edge computing has been introduced. The feasible way enabling mobile edge computing is to enhance the small cell base stations (SCeNBs) with computing capabilities. However, a high density of the SCeNBs together with even low mobility of users can result in often outage situation or handover when delay sensitive data cannot be delivered from the computing SCeNBs in time and become irrelevant. In this paper, we propose distributed cloud‐aware power control algorithm, which targets to increase the ratio of delivery of computation results to the UE within required delay. Then, we enhance cloud‐aware power control by adaptive algorithm. This algorithm exploits iterative process to find appropriate time when the power control is triggered in order to further improve the performance of the cloud‐aware power control. The simulations demonstrate notable increase in the ratio of delivered offloaded tasks from the computing SCeNBs comparing with competitive schemes. At the same time, the amount of served data to the users exploiting common, non‐cloud, services is increased. As the proposed solution is distributed, related signaling overhead is negligible. Copyright © 2015 John Wiley & Sons, Ltd.

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Cloud-aware power control for cloud-enabled small cells

Mach

Bečvář

2014

2014 IEEE Globecom Workshops (GC Wkshps)

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An MBS‐Assisted Femtocell Transmit Power Control Scheme with Mobile User QoS Guarantee in 2‐Tier Heterogeneous Femtocell Networks

Cited by 3 publications

References 28 publications

Co‐tier downlink interference management in dense femtocell networks

Co‐tier downlink interference management in dense femtocell networks

Cloud‐aware power control for real‐time application offloading in mobile edge computing

Cloud-aware power control for cloud-enabled small cells

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