Mobile Network Operators (MNOs) are slated to begin massive 5G upgrades in parallel to existing LTE expansions. These capital expenditures tend to leave large impacts on the existing customer base through network outages, degraded performance, and physical mis-configuration from the work done at each node location. Many times the issue not found and addressed for 72+ hours.
For a single event like Super Bowl, a stadium may have over a terabyte of data passing through the serving cells. Building and optimization of a DAS is a challenging process which requires equipment validation, DAS configuration adjustments, surrounding network interference mitigation, RAN network parameter optimization, and neighbour and Layer management optimization to support heavily loaded conditions.
The recent announcement by Uber to release anonymized data for over 2 billion trips to improve urban planning through the Uber Movement site could also improve what Uber relies on the most, wireless networks. The greatest challenge to mobile wireless network is simply mobility.
To assign PCI correctly and efficiently will increase resource utilization and QoS of the LTE system for subscribers. Poor planning results in PCI conflicts or collisions which impact network performance. TTS Inc developed the PCI/RSI Audit and Adhoc planner functionality within the IMNOS platform providing speedy, accurate, and immediate results. This modules improves performance and adds engineering efficiency.
DAS systems are an effective way of adding coverage and capacity and have become an integral part of a wireless network to provide an effective solution in challenging RF environment. DAS solution deployed in various environments requires Optimization of the network in order to meet network performance requirements and excellent customer experience.
When doing any indoor small cell design, it is important to understand that every building is different. These physical difference need to be accounted for in the design. There are many soft RF considerations as well, however we will focus on the physical considerations here.
The advent of low cost operators and MVNOs in the past few years has put enormous pressure on Mobile Network Operators (MNOs) to reassess their conventional capital expenditure strategies to provide enhanced network quality and retain constantly eroding margins for the best possible ROI. MNOs have reacted to this trend by adjusting their offer mix to maintain average revenue per user (ARPU) levels and their marketing efforts to optimize their cost basis. It has become all the more important now for MNOs to consider the cost optimization opportunities relating to daily “build and run” activities.
The visualization of social media data provides insights into a highly mobile segment of the population. Knowing where people typically post and that the typical geotagged posts with GPS are from mobile devices provides insight into where MNOs need to have the best network to serve them.
Software Defined Radios (SDRs) allow operators and service providers to provide alternative equipment testing methods to the traditional heavy scanners and tests currently conducted in the field. SDRs open an opportunity to low-cost options of not just scanning predefined networks, but quickly finding competitor networks, bandwidths, and use configurations with open source stacks and crowd funded hardware.
Indoor small cells are typically installed in venues to fill in small coverage holes to provide better voice quality, data throughput speeds and reduced drop calls at a very low Installation cost compared to a conventional DAS system. As with any other wireless system small cells have to be carefully designed, installed and optimized to provide optimum coverage and quality to end users.
To maximize the use of spectrum, a mix of footprint optimization or RF shaping is required in conjunction with parameter tuning and feature optimization. Cluster/Area optimization of a LTE and 3G network with macro and oDAS layers requires a complete cell footprint view in order to effectively optimize and maintain performance in a mature wireless network.
The idea and development of tools around wireless customers events and measurements is rapidly moving forward. Despite the fears of big brother watching, which any technology has the ability to be used for less than good means, geolocation data of subscribers has the ability to truly revolutionize how wireless operators do business.