Self-Organizing Networks: Self-Planning, Self-Optimization by Juan Ramiro, Khalid Hamied

By Juan Ramiro, Khalid Hamied

With the present explosion in community site visitors, and mounting strain on operators’ company case, Self-Organizing Networks (SON) play an important position. they're conceived to reduce human intervention in engineering tactics and whilst enhance process functionality to maximise Return-on-Investment (ROI) and safe buyer loyalty.

Written by means of major specialists within the making plans and optimization of Multi-Technology and Multi-Vendor instant networks, this publication describes the structure of Multi-Technology SON for GSM, UMTS and LTE, besides the permitting applied sciences for SON making plans, optimization and therapeutic. this can be offered regularly from a know-how viewpoint, but in addition covers a few severe enterprise features, akin to the ROI of the proposed SON functionalities and Use instances.

Key gains:

  • Follows a really Multi-Technology procedure: protecting not just LTE, but additionally GSM and UMTS, together with architectural issues of deploying SON in today’s GSM and UMTS networks
  • Features precise discussions concerning the proper trade-offs in every one Use Case
  • Includes box result of today’s GSM and UMTS SON implementations in dwell networks
  • Addresses the calculation of ROI for Multi-Technology SON, contributing to a extra entire and strategic view of the SON paradigm

This booklet will attract community planners, optimization engineers, technical/strategy managers with operators and R&D/system engineers at infrastructure and software program proprietors. it is going to even be an invaluable source for postgraduate scholars and researchers in automatic instant community making plans and optimization.Content:
Chapter 1 working cellular Broadband Networks (pages 1–19): Ken Stewart, Juan Ramiro and Khalid Hamied
Chapter 2 The Self?Organizing Networks (SON) Paradigm (pages 21–46): Frank Lehser, Juan Ramiro, Miguel A. Regueira Caumel, Khalid Hamied and Salvador Pedraza
Chapter three Multi?Technology SON (pages 47–64): Ruben Cruz, Khalid Hamied, Juan Ramiro, Lars Christoph Schmelz, Mehdi Amirijoo, Andreas Eisenblatter, Remco Litjens, Michaela Neuland and John Turk
Chapter four Multi?Technology Self?Planning (pages 65–129): Josko Zec, Octavian Stan, Rafael Angel Garcia, Nizar Faour, Christos Neophytou, Khalid Hamied, Juan Ramiro, Gabriel Ramos, Patricia Delgado Quijada, Javier Romero and Philippe Renaut
Chapter five Multi?Technology Self?Optimization (pages 131–206): Juan Ramiro, Ruben Cruz, Juan Carlos del Rio, Miguel A. Regueira Caumel, Carlos Ubeda, Szymon Stefanski, Andreas Lobinger, Juanjo Guerrero, Salvador Pedraza, Jose Outes, Josko Zec and Khalid Hamied
Chapter 6 Multi?Technology Self?Healing (pages 207–229): Juan Ramiro, Raul Moya, Juan Carlos del Rio, Mehdi Amirijoo, Remco Litjens, Khalid Hamied, Nizar Faour, Carlos Ubeda, Gustavo Hylander and Javier Munoz
Chapter 7 go back on funding (ROI) for Multi?Technology SON (pages 231–261): Juan Ramiro, Mark Austin and Khalid Hamied

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Extra resources for Self-Organizing Networks: Self-Planning, Self-Optimization and Self-Healing for GSM, UMTS and LTE

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TDD mode), or a split in allocation between paired (FDD, 698–746 MHz) and unpaired (TDD, 746–806 MHz) modes. It is unlikely, however, that this spectrum will be released before 2015. 6 GHz band (2500–2690 MHz). Of these, the 2300–2400 MHz spectrum was designated for unpaired operation as early as 2002, and has been used successfully for LTE-TDD trials at the Shanghai Expo of 2010. However, coexistence concerns with other services may limit future deployment in that band to indoor use. S. 6 GHz band plans has been considered, along with an alternative all-TDD designation favoring LTE-TDD mode.

Interference Control In order to improve signal quality and therefore throughput, LTE systems may need interference coordination, both in uplink (controlling the usage of the physical resource blocks in different sectors) and in downlink (mainly controlling the transmit power patterns). These procedures require the transmission of certain information elements through the X2 interface with the objective to facilitate packet scheduling decisions that take into consideration the interference situation in the surrounding cells [11].

This means that the parameters that are needed to start a tunnel to other network entities and receive further network settings must be available. Some of these parameters are, for example, Internet Protocol (IP) addresses, Virtual Local Area Network (VLAN) identifier, transport Quality of Service (QoS) settings, etc. 4. Planning Data Alignment for all Neighbor Nodes This Use Case manages the announcement of the new eNodeB to all neighboring nodes, as well as the corresponding alignment of their databases.

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