A Perspective on Self-Optimization in Next Generation Cellular Networks

Author:

Mishra Sumita1,Mathur Nidhi2

Affiliation:

1. Amity University, India

2. IETE, India

Abstract

During the past few decades wireless technology has seen a tremendous growth. The recent introduction of high-end mobile devices has further increased subscribers' demand for high bandwidth and quality of service. The number of nodes in future cellular systems will be too large to be configured and maintained manually. Further the mobility of users, the varying nature of the wireless channel and variation in user demand systems requires optimization of network parameters and delay in configuration may cause congestion and poor Quality of Service. Due to this increased complexity and the huge scale of wireless systems the network configuration, optimization and maintenance process performed by radio engineers has become inefficient and therefore, lot of research is being done to introduce self-optimizing capabilities within the network, which is expected to permit higher end user Quality of Service (QoS) and less operation cost and maintenance cost for telecom service providers. This chapter details the key aspects related to self optimization of next generation cellular networks.

Publisher

IGI Global

Reference13 articles.

1. 3GPP. (n.d.). Physical Layer Aspects for evolved Universal Terrestrial Radio Access (E-UTRAN), Technical Report TR 25.814. Retrieved from http://www.3gpp.org

2. 3GPP TS 32.500, “Self-organizing networks (SON); Concepts and requirements (Release 9),” V9.0.0, December 2009.

3. 3GPP TR 36.902, “E-UTRA; Self-configuring and selfoptimizing network (SON) use cases and solutions (Release 9),” V9.3.1, March 2011.

4. 3G Americas. (2011, July). The benefit of SON in LTE: self-optimization and self-organizing networks.

5. Atayero, & Luka. (n.d.). Adaptive Neuro- Fuzzy Inference System for Dynamic Load Balancing in 3GPP LTE. International Journal of Advanced Research in Artificial Intelligence, 1(1), 11–16.

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