Self-Organizing Network Solutions: A Principal Step Towards Real 4G and Beyond

Self-Organizing Network Solutions: A Principal Step Towards Real 4G and Beyond

Mohammadreza Behjati, John Cosmas
ISBN13: 9781522523420|ISBN10: 1522523421|EISBN13: 9781522523437
DOI: 10.4018/978-1-5225-2342-0.ch011
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MLA

Behjati, Mohammadreza, and John Cosmas. "Self-Organizing Network Solutions: A Principal Step Towards Real 4G and Beyond." Routing Protocols and Architectural Solutions for Optimal Wireless Networks and Security, edited by Dharm Singh, IGI Global, 2017, pp. 241-253. https://doi.org/10.4018/978-1-5225-2342-0.ch011

APA

Behjati, M. & Cosmas, J. (2017). Self-Organizing Network Solutions: A Principal Step Towards Real 4G and Beyond. In D. Singh (Ed.), Routing Protocols and Architectural Solutions for Optimal Wireless Networks and Security (pp. 241-253). IGI Global. https://doi.org/10.4018/978-1-5225-2342-0.ch011

Chicago

Behjati, Mohammadreza, and John Cosmas. "Self-Organizing Network Solutions: A Principal Step Towards Real 4G and Beyond." In Routing Protocols and Architectural Solutions for Optimal Wireless Networks and Security, edited by Dharm Singh, 241-253. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-2342-0.ch011

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Abstract

Quality of service (QoS) and network capacity are being insisted as the two dominant factors for the utmost network satisfaction within any mobile network contracts. On the other hand, the heterogeneous network (HetNets), which are constructed based on sub-network layers' cooperation between macrocell and shorter-range applications like micro, femto and relay nodes, are also introduced as an open door to the recent researches towards the desired network satisfaction for the recently upgraded networks like LTE-Advanced (LTE-A). Nevertheless, since any network cooperation is expected to include a number of challenges; this cooperation is not excluded of dealing with degrading effects, such as interference, among the sub-network elements. This chapter presents a detailed discussion in self-organizing network (SON) methodology, as a novel solution to deal with network challenges, e.g. inter-cell interference coordination (ICIC), mobility, power control, etc. to improve the network quality and capacity.

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