The Fourth Generation (4G) of cellular communications based on the Long Term Evolution (LTE) standard promises much great network capacity. This greater supply of bandwidth will stimulate the development, implementation and operation of many new applications, each with very unique quality of service, bandwidth, and performance needs.
It will be a much more complex network and this will facilitate a need for improved operations and OSS. A key driver for improving OSS for 4G systems, the so called Self Organizing Network (SON) has been introduced as part of the 3GPP LTE network framework. SON is expected to be deployed over time and ultimately have a dramatically positive effect on network operations and OSS.
Self Organizing Networks (SON) Challenges and Market Opportunities for LTE and beyond, Third Edition evaluates SON capabilities, vendors, and solutions. It analyzes the function of SON relative to LTE and evaluates the benefits of deployment and operation. The report also discusses the future of SON beyond 4G. This research includes a forecast for overall OSS/BSS revenue.
- Mobile network operators
- Wireless device manufacturers
- Wireless infrastructure providers
- OSS/BSS vendors and service providers
- Network optimization service providers
- LTE application developers and service integrators
- Managed service providers and service bureau organizations
Mind Commerce Publishing's research methodology encompasses input from a wide variety of sources.
We rely heavily upon our Subject Matter Experts (SME) in terms of their market knowledge, unique perspective, and vision. We utilize SME industry contacts as well as previous customers and participants in our market surveys and interactive interviews.
In addition, we rely upon our extensive internal database, which contains modeling, qualitative analysis, and quantitative data. We review secondary sources and compare to our primary sources to update previous findings (for prior version reports) and/or compile baseline information for technology and market modeling.
We share preliminary models with industry contacts (select previous clients, experts, and thought leaders) to verify the veracity of initial modeling. Prior to final report production (analysis, findings, and conclusions), we engage in an internal review with internal SMEs as well as cross-expertise, senior staff members to challenge results.
We believe that forecasts should be prepared as part of an integrated process which involves both quantitative as well as qualitative factors. We follow the following 3-step process for forecasting.
Step 1 - Forecasts Input:
The inputs for the present and historical revenues are derived from industry players. Financial and other quantitative data for individual sub-market categories are derived from original research and tested with interviews with major industry constituents.
Step 2 - Forecasting of Future Years:
Mind Commerce extends forecasts based on a variety of factors including demand drivers as well as supply side data. Key success factors and assumptions are considered.
Step 3 - Validation of Data:
The final step is to validate projections, which is accomplished in consultation with both internal and external industry experts, including both topic and regional experts. Adjustments are made to the forecasts based on factors identified throughout this process.