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.
With the mass adoption of social media, the consumer has found a new outlet of frustration beyond the call to customer service. Not only can they voice their complaints to any follower who notices, they may also voice their praise.
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.
Proper macro cell reduction brings numerous values in terms of engineering quality and cost savings for Distributed Antenna Systems (DAS) design, deployment and performance.
TTS fully redisigned New York Metro Station providing 100% radiocoverage with incredible Key Performance Indicator values!
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.
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.
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.
In any industry, there is continual progress made towards employee safety and overall process efficiency. Technological advances often help in achieving this goal. Unmanned small aircraft or drones could be considered one of these new tools for wireless network engineering and operations.
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.
Operators all over the world are scrambling to deploy wireless network upgrades for the support of VoLTE, LTE, and HSPA+. This comes at a high cost and time requirement for the simple fact that three main requirements are needed for any network upgrade.
With greater than 70% of wireless network traffic being indoors, the potential of WiFi calling addresses the two main issues facing today’s wireless networks.
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.
This article depicts the main considerations for a DAS design.
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