EVOLUTION OF TELECOM INDUSTRY
INTRODUCTION • •
The telecommunications industry is evolving at a dizzying rate. In fact, to talk about the telco of the future in technological terms is almost fruitless; it’s a moving target, and by this afternoon, something will have changed.
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PAST-TELCOM INDUSTRY • •
In the infancy of telecommunications, the process was entirely manual. A Lily Tomlinesque operator would manually use patch cords to connect telephones within the same exchange, which was manageable at the time because there were so few phones.
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PROCESS OF AUTOMATION •
After many years, much of the process became automated. Phones had dials to ring in numbers, Lily Tomlin was replaced by a switching system, and companies could buy private branch exchanges (PBX) to meet their burgeoning telephonic needs.
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TODAY-TELECOM INDUSTRY •
Today’s telco deals with a different set of realities. There are several trends behind the abandonment of the landline. Chief among them, of course, is the lower cost and higher available of mobile technology.
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MOBILE USAGE •
Mobile usage is outstripping landline usage, but perhaps a more interesting trend is that, even among mobile users, data usage is outstripping voice traffic.
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FUTURE-TELECOM INDUSTRY •
The coming 5G technology will offer 100 gigabits per cent connectivity, roughly 1,000 times a s fast as 4G connectivity. Interactive data usage is already outstripping voice traffic.
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VOICE TRAFFIC •
As a corollary, in order for the network to function, voice traffic must become data traffic in order to coexist on a data optimized network.
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DATA TRAFFIC •
Data traffic on Wi-Fi networks is surpassing data traffic on cellular networks. Telcos will have to examine their architectures to accommodate this shift.
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SOFTWARE-DEFINED NETWORKING •
The backplane is becoming virtual. Thanks to software-defined networking (SDN), the jobs of dedicated switches and routers can be handled by cheaper, commodity computing hardware.
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BOTTOM LINE •
The enormous variety, velocity and volume of data that can be collected from this traffic geographic information system (GIS) data, time of usage, type of usage can be used, with advanced analytics, to optimize network performance and the customer experience.
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