The technical as well as commercial viability of future cellular systems is being challenged by the increasing complexity and heterogeneity of emerging cellular systems, coupled personal essays with decreasing per-bit revenues. The mounting obstacle to cost-effective ubiquitous mobile broad band connectivity is the semi-static design of legacy cellular systems that requires expensive skilled labor for pre-operation configuration and manual and hence inefficient post-deployment optimization during its life cycle. While LTE is emerging as a saviour against the challenge of higher data rate demands, financial forecasts predict that LTE roll-out could cost a tier one operator up to $8billion in Capital Expenditure (CAPEX) over the first 3-5 years, while adding another 30% to today’s Operational Expenditure (OPEX). Furthermore, with the advent of LTE, most operators will have to simultaneously manage four different technologies GSM, UMTS, LTE and Wi-Fi.
This will massively increase the number of system parameters to be configured and maintained optimally. Therefore, it can be envisioned that, compared to their predecessors, future cellular systems need something more, in addition to just higher capacity. This something more is the ability to self configure, self optimize and self heal. The networks with these three functionalities altogether are called Self Organization Networks (SON). SON has recently emerged as a promising paradigm that can reduce OPEX and CAPEX while at the same time yield optimal performance by reducing labour costs, eliminating human error factor and latency and accuracy limitations of manual processes. iGR forecasts $2.34 billion saving in LTE CAPEX and $4.5billion saving in LTE OPEX with full SON implementation, by 2016 in US alone.
The objective of this project is to research, investigate, propose, design and evaluate such SO functionalities in future cellular network that will enable them to adapt themselves autonomously to cope with all dynamics thehomeworkportal.com of its life cycle in a scalable, stable and agile manner in order to continuously maintain all its performance objectives of optimal capacity, QoS and energy efficiency