 It is about time that we start looking at interesting use cases which were conceived in the next generation mobile network alliance for adoption as a SON initiative and the consequent requirements which are going to emerge. Traditionally the network design and operation can be split into four categories planning, deployment, optimization and maintenance and planning being the overarching activity can even go through some changes while plan has already been made like capacity certainly changes or the technical requirements change. Similarly in deployment there is a possibility that some kind of relocation or re-association is required for the network elements like mobile station has to connect to home E node B instead of node B. Then when the network is operating it could weather or it could deteriorate in performance so some kind of continuous tracking is done using the radio parameters at the physical layer and the transport parameters at the higher layers. And lastly maintenance is a continuous activity as well which emerges from time to time like hardware, upgrade, replacement, software, upgrade, service patches, new software releases, security patches and if there is a failure so kind of failover and failure recovery mechanisms are also needed. So we can think about general next generation mobile network operator use cases so these all stem out of these four stages. Once we talk about the recommendations which were made by the telecom operators they came up with the top operational efficiency recommendations that is the use cases which must be integrated for self organizing network perspective that is these activities had to be automated whatsoever. This included operation and maintenance or management support. We know in telecom networks drive testing is something which essentially was a requirement for RF planning and deployment of the network elements like base transceiver and node bees. Then handover optimization of course soft handoff with hysteresis with thresholding so these are always required because the channel behavior varies over time. Load balancing is another concern. Cell breathing if you recall is an important concept in which the cell blooms or shrinks depending upon the transmit power requirements for a varying number of users. Then cell outage compensation what to do it's a failure recovery mechanism requirement then energy saving all the time is a concern because at the network side the energy is not a major concern but on the mobile side or the handheld device side. It's indeed a major concern because the mains are not available but these are mostly battery operated devices then common channels which are used for control signaling have to be optimized as well for a large number of users. Then interactions between home and macro base transceivers like the E node B home E node B etc. Then so on are also required for optimizing quality of service parameters and this list can go on and on but these were the top recommendations. Now these recommendations require some kind of parametrization. Parametrization means that how are you going to achieve self organizing capability on ground for that there is a control theoretic view on self organizing networks. SEPO Hamilton took it from from an IEEE paper in there the son functions are known more as a controller functions these controller functions provide input to the system as input parameters like neighbor density. The assignment of the RB channels downlink transmit power at the antenna directions polarization and switching capability of cells their current status how many of the cells are out have outages or how many are there using certain band of frequencies then handoff parameters and configuration for MIMO. Now these input parameters serve as configuration management input parameters to the overall system since our focus primarily is on telecom networks so we are using the specific jargon for telecom networks but it could be any network. However for our specific case the output parameters are going to result into change in coverage to accommodate varying degree of users across locations. There a change in capacity probably enhancing the capacity or conserving the capacity to be shared somewhere else the improving the reliability and the availability of the system. Now this view allows us to exactly know what requirements are going to emerge for the son implementation. This has been taken from SEPO Hamilton LTE self organizing networks.