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.
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.
RF Drivetest is the old backbone of wireless networks. As geolocation and other lower cost tools attempt to replace the drivetest, it may need to visit what type of drivetest and costs are being saved. Rather than focusing on the cost of drivetest, lets focus on how to get the most efficiency out of the drive data collected.
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.
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.
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.
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.
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