Skip to main content

New Models Support Mobile Broadband Consumption

Due to mobile data growth and the associated proliferation of apps, mobile network operators around the world are considering new broadband network deployment models using small cells -- a market segment expected to grow from 3.2 million cells in 2012 to 62.4 million cells in 2016.

4G Americas, a wireless industry trade association representing the 3GPP family of technologies, announced that it has released a report to help with the integration and deployment of high performance heterogeneous networks.

A heterogeneous network consists of different wireless technologies working together to provide a seamless wireless experience to the end user.

It is comprised of traditional large macrocells and smaller cells -- including microcells, picocells and femtocells -- as well as Wi-Fi, which can also be used as a mechanism for broadband traffic offloading.

Additionally, some of the deployment models supporting heterogeneous networks include distributed antenna systems and relays.

"We are at the tip of the iceberg as far as deploying intelligent heterogeneous networks to support the growing mobile broadband demand," said Chris Pearson, President of 4G Americas.

Mobile broadband data consumption is soaring with some estimates expecting worldwide aggregate demand to increase 25 fold between 2011 and 2016. However, attaining new spectrum is difficult and building macrocell sites is cumbersome.

4G Americas continues to advocate for more spectrum throughout the Americas to address network congestion and allow the industry to grow by serving society, and member companies continue to invest in new standardized architectures to improve network performance.

Small cells -- and the heterogeneous network -- are among the innovations for new network architecture that can help to relieve the growing traffic congestion.

That being said, some research has highlighted that traffic distribution is uneven for some carriers -- with 80 percent of the traffic carried by 20 percent of the cell sites. So, ongoing network optimization is required, in addition to adaptive infrastructure modeling.

Popular posts from this blog

Industrial Cloud Computing Apps Gain Momentum

In the manufacturing industry, cloud computing can help leaders improve their production efficiency by providing them with real-time data about their operations. This has gained the attention of the C-suite. Total forecast Industrial Cloud platform revenue in manufacturing will surpass $300 billion by 2033 with a CAGR of 22.57 percent, driven by solution providers enhancing platform interoperability while expanding partner ecosystems for application development. ABI Research found the cloud computing manufacturing market will grow over the next decade due to the adoption of new architectural frameworks that enhance data extraction and interoperability for manufacturers looking to maximize utility from their data. Industrial Cloud Computing Market Development "Historically, manufacturers have built out their infrastructure to include expensive data housing in the form of on-premises servers. The large initial upfront cost of purchasing, setting up, and maintaining these servers is

Demand for Quantum Computing as a Service

The enterprise demand for quantum computing is still in its early stages, growing slowly. As the technology becomes more usable, we may see demand evolve beyond scientific applications. The global quantum computing market is forecast to grow from $1.1 billion in 2022 to $7.6 billion in 2027, according to the latest worldwide market study by International Data Corporation (IDC). That's a five-year compound annual growth rate (CAGR) of 48.1 percent. The forecast includes base Quantum Computing as a Service, as well as enabling and adjacent Quantum Computing as a Service. However, this updated forecast is considerably lower than IDC's previous quantum computing forecast, which was published in 2021, due to lower demand globally. Quantum Computing Market Development In the interim, customer spend for quantum computing has been negatively impacted by several factors, including: slower than expected advances in quantum hardware development, which have delayed potential return on inve

Contact Center as a Service Gains AI Benefits

Enterprise leaders with large customer care organizations are exploring Artificial Intelligence (AI) applications to improve their online customer experience, increase operational efficiency, and reduce costs to improve profitability. Trained AI can be used to automate tasks, such as answering routine questions, freeing up contact center agents to focus on more complex inquiries. AI can also be applied to personalize the customer experience by recommending new offerings. Additionally, AI can be deployed to analyze vast amounts of existing customer data to identify support trends and patterns, which can be used to improve the overall customer experience. Customer Care AI Market Development Worldwide Contact Center (CC) and Conversational AI, including virtual assistant end-user spending is projected to total $18.6 billion in 2023 -- that's an increase of 16.2 percent from 2022, according to the latest market study by Gartner. "Near-term investment growth rates for CC and CC Con