Green Femtocells in the IoT Era: Traffic Modeling and Challenges - An Overview

Date

2017-11-01

Author

Al-Turjman, Fadi
Ever, Enver
Zahmatkesh, Hadi

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

195
views

0
downloads

The rapid increase in numbers of communicating devices, such as smartphones, PDAs, and notebooks, is causing the demand for mobile data traffic to grow significantly. In recent years, mobile operators have been trying to find solutions to increase the network capacity in order to satisfy mobile users' requests and meet the requirements in terms of various quality of service measures in the case of high mobile data traffic. With ever increasing demand from mobile users and implementations in the area of IoT, femtocells have proved to be a promising solution for network operators to enhance coverage and capacity, and they provide high data rate services in a less expensive manner. This article describes possible femtocell applications and traffic modeling approaches in the IoT environment, and highlights potentials and challenges for IoT-femtocell-based applications.

Subject Keywords

Cellular networks

URI

https://hdl.handle.net/11511/66181

Journal

IEEE NETWORK

DOI

https://doi.org/10.1109/mnet.2017.1700062

Collections

Engineering, Article

Suggestions

OpenMETU
Core

Modelling green HetNets in dynamic ultra large-scale applications: A case-study for femtocells in smart-cities Ever, Enver; Al-Turjman, Fadi M.; Zahmatkesh, Hadi; Riza, Mustafa (2017-12-09) In recent years, with the rapid increase in the number of mobile connected devices and data traffic, mobile operators have been trying to find solutions to provide better coverage and capacity for mobile users. In this respect, deployment of femtocells is a promising solution. This paper presents performability analysis of femtocells. Unlike the existing studies, the potential reduction of the service capacity due to failures are considered as well as various performance metrics such as throughput, mean que...
Parallel and pipelined architectures for high speed ip packet forwarding Erdem, Oğuzhan; Bazlamaçcı, Cüneyt Fehmi; Department of Electrical and Electronics Engineering (2011) A substantial increase in the number of internet users and the traffic volume bring new challenges for network router design. The current routers need to support higher link data rates and large number of line cards to accommodate the growth of the internet traffic, which necessitate an increase in physical space, power and memory use. Packet forwarding, which is one of the major tasks of a router, has been a performance bottleneck in internet infrastructure. In general, most of the packet forwarding algori...
Efficient inertially aided visual odometry towards mobile augmented reality Aksoy, Yağız; Alatan, Abdullah Aydın; Department of Electrical and Electronics Engineering (2013) With the increase in the number and computational power of commercial mobile devices like smart phones and tablet computers, augmented reality applications are gaining more and more volume. In order to augment virtual objects effectively in real scenes, pose of the camera should be estimated with high precision and speed. Today, most of the mobile devices feature cameras and inertial measurement units which carry information on change in position and attitude of the camera. In this thesis, utilization of in...
A Self-Cloning Agents Based Model for High-Performance Mobile-Cloud Computing Angın, Pelin; Jin, Zhongjun (2015-07-02) The rise of the mobile-cloud computing paradigm in recent years has enabled mobile devices with processing power and battery life limitations to achieve complex tasks in real-time. While mobile-cloud computing is promising to overcome the limitations of mobile devices for real-time computing, the lack of frameworks compatible with standard technologies and techniques for dynamic performance estimation and program component relocation makes it harder to adopt mobile-cloud computing at large. Most of the avai...
Location Prediction of Mobile Phone Users Using Apriori-Based Sequence Mining with Multiple Support Thresholds Keles, Ilkcan; Ozer, Mert; Toroslu, İsmail Hakkı; Karagöz, Pınar (2014-09-19) Due to the increasing use of mobile phones and their increasing capabilities, huge amount of usage and location data can be collected. Location prediction is an important task for mobile phone operators and smart city administrations to provide better services and recommendations. In this work, we propose a sequence mining based approach for location prediction of mobile phone users. More specifically, we present a modified Apriori-based sequence mining algorithm for the next location prediction, which invo...

Citation Formats

F. Al-Turjman, E. Ever, and H. Zahmatkesh, “Green Femtocells in the IoT Era: Traffic Modeling and Challenges - An Overview,” IEEE NETWORK, pp. 48–55, 2017, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/66181.