Enterprises have a lot of options when designing networks for specialized uses. Wi-Fi supports high-volume environments, but private LTE also provides important benefits.
Private networks have been designed and implemented for a wide variety of uses. Some communicate with people -- either employees or customers or both. Others support IoT networks and communicate with devices.
Regardless of the requirements, enterprises can choose how they want to support these networks. Wi-Fi, for example, is a good answer for environments with devices that require a high volume of data and quick responses. Private LTE is a newer option that can also support these types of devices. Its data rate is greater than 3G but does not meet the 4G standard.
Let's look at private LTE versus Wi-Fi and see how they differ.
5G has come a long way since the Korean operators launched mobile 5G in early 2019. In the first five years, operators have invested around $0.4 T globally in 5G-related capex, deploying 20 M+ macro and small cell radios.
Even so, the results are mixed. From a RAN investment and coverage perspective, 5G has accelerated at a much faster pace than previous mobile technologies. Preliminary findings suggest that 5G already covers around 45% of the global population, according to Ericsson's Mobility Report.
To put things into perspective, LTE reached the same milestone in early 2016. In addition to the reduced gap between the advanced and less advanced markets, the capacity boost realized with the upper mid-band taken together with the proliferation of Massive MIMO is providing a step function reduction in data delivery costs.
The SK Telecom 5G/6G white paper focusing on 5G lessons points to a 70% reduction in cost-per-bit relative to LTE. At the same time, 5G has so far been mostly about improving the economics and increasing the data buckets for the existing use cases. However, 5G has so far had limited success in expanding the use cases and reversing the carrier revenue trajectory.
Generative AI will drive many advancements in the CX world, helping brands exceed their customers' expectations and changing how business gets done.
Predicting the future may seem like a fool's errand to some, but modeling the year ahead is part of planning that every global company has to do. It's not about being Nostradamus; it's about being prepared.
As the head of marketing at a generative AI company for contact centers, forecasting the tech landscape helps my teams and me anticipate what's ahead for customer experience (CX) and pivot as things almost inevitably change. And as someone who once worked in a contact center, the year ahead for CX excites me.
In 2023, we obviously saw generative AI take center stage as much or more so than any tech topic since perhaps the internet's beginning. While AI will continue to drive investment, product development and tech narratives in 2024, I want to dig into the nuances of what I believe will come to bear.
Managed UC services offer several benefits for businesses, including improved network connections, communication software integrations and support for remote work.
IT departments looking to go lean are constantly seeking out ways to move applications, data and services to the public cloud. Essentially, they want to do more with less.
Yet, historically, unified communications (UC) remained in-house and on premises for several reasons. For example, organizations might get locked into long-term telecom contracts, have concerns about a lack of customization and control, or be fine with the attitude of "if it ain't broke, don't fix it."
Over the years, however, managed UC services have come a long way to create a solid set of benefits that may convince business leaders to reconsider on-premises deployments. Let's examine the purpose of managed UC services, how their benefits can reduce IT management and maintenance, and ultimately improve end-user productivity.
Ericsson has partnered with Finnish communications service provider Elisa and Qualcomm Technologies to demonstrate high uplink speeds in a commercial 5G Standalone (SA) network, the former said in a release.
During the trial, the three partners achieved an upload speed of 230 Mbps in a live 5G network using uplink carrier aggregation. For this test, the companies combined a 25-megahertz 2.6 GHz FDD channel with a 100-megahertz 3.5 GHz TDD channel, running on a mobile test device powered by Snapdragon X75 5G modem-RF system.
Ericsson noted that its uplink carrier aggregation software combines mid-band FDD and mid-band TDD within the frequency range 1 (FR1), boosting speeds to enable uplink-heavy applications such as live streaming, broadcasts, cloud gaming, extended reality and video-based use cases.
Ericsson said that the 5G demo was carried out using the vendor's 5G core and radio access network technology
BT Group, Ericsson and Qualcomm Technologies said they have successfully demonstrated end-to-end consumer and enterprise 5G differentiated connectivity enabled by network slicing.
In a release, Ericsson said that the 5G demo was carried out using Ericsson's 5G Core and radio access network technology in the U.K. with devices powered by Qualcomm's Snapdragon 8 Gen 2 for Galaxy mobile platform.
The trial, which took place at BT's Adastral Park research and innovation facility, established network slices for gaming, enterprise and enhanced mobile broadband (eMBB), and showed how, by allocating a portion of the 5G SA network to provide dynamic partitions for specific use-cases, optimal performance could be maintained for bandwidth-heavy activities including mobile gaming and video conferencing even during peak times, according to the partners.
Telcos demonstrate configuration in action at research facility. Now to find customers that want to buy one
Telco BT has demonstrated network slicing, long slated as a key element for providing full fat 5G networks promised to subscribers.
The Brit network giant says it showed both consumer and enterprise applications enabled by network slicing at its Adastral Park research facility. The tests used a 5G Standalone (5G SA) network running on Ericsson kit and used devices based on Qualcomm mobile chipsets.
Network slicing can be likened to virtualization for networks; it allows multiple networks, each with characteristics tailored for different applications, to operate over the same physical infrastructure.
2024 Telco Risk Radar Reshaped With GenAI
The emergence of generative artificial intelligence (GenAI) casts doubts on existing data governance strategies and cyber-resilience in the telco , Thursday, February 8th, 2024
The emergence of generative artificial intelligence (GenAI) casts doubts on existing data governance strategies and cyber-resilience in the telco industry.
An underestimation of the changing imperatives in privacy, security and trust in the telecommunications industry emerges as the top risk of telcos in 2023, according to the annual EY report, Top 10 risks in telecommunications.
The top 10 risks in the telco sector included in the report are insufficient response to customers during the cost-of-living crisis, inadequate talent and skills management, poor management of the sustainability agenda, and failure to take advantage of new business models.
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