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.
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.
Once the physical considerations of a small cell design are accounted for, there is the soft side of it that also needs to be looked at to ensure if fits into the overall network and provides the desired impact. There are many soft considerations on specific parameters that are unique to each vendors in terms of load balancing, offsets and such, but we will consider some of the major soft considerations that impact the design.
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.
Engineering discussions tend to focus on how to improve the KPIs in the sense of network quality, reduce drops, improve accessibility, etc. Fixing coverage holes is always noted, but this tends to be fixing coverage the “right” way, which is typically the long term capital improvement. Long term network fixes come through large scale site build, low-band spectrum acquisition, improved hardware deployment, or alternative network types which is typically large capital expenditures
With all the talk of 3G/4G/5G wireless networks and the speeds they provide, the question really comes down to how much speed is enough? With mobile network operators (MNOs) data caps limiting overall data utilized, faster speeds really just mean reaching the limit faster
With the purpose of maximizing spectral efficiency and allow for network carrier aggregration, the roll-out of VoLTE in existing LTE networks is a critical step. With the introduction of any new voice technology, there is a need for measuring the actual voice quality of the network.
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.
Low band spectrum (400, 700, 800, 900MHz) provides clear improvement to network coverage over high band spectrum (1800, 1900, 2100, 2600MHz) for wireless networks. Low band spectrum can give twice the coverage radius of a high band site while at the same time providing 6-10dB improved signal strength at the same point.
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.
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 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.