Qualcomm Technologies has recently announced its first commercial 5G chipset, which will be used in the next generation of smartphones and other portable devices.
Chip maker Qualcomm Technologies has announced the first commercial 5G modem chipset solution. The Qualcomm Snapdragon X50 5G modem is designed to support original equipment manufacturers (OEMs) that are building the next generation of cellular devices, as well as aid operators with early 5G trials and deployments.
The Snapdragon X50 5G modem will initially support operation in millimeter wave (mmWave) spectrum in the 28GHz band. It will employ Multiple-Input Multiple-Output (MIMO) antenna technology with adaptive beamforming and beam tracking techniques, which facilitates robust and sustained mobile broadband communications in non-line-of-sight (NLOS) environments. With 800 MHz bandwidth support, the Snapdragon X50 5G modem is designed to support peak download speeds of up to 5 gigabits per second.
Designed to be used for multi-mode 4G/5G mobile broadband, as well as fixed wireless broadband devices, the Snapdragon X50 5G modem can be paired with a Qualcomm® Snapdragon™ processor with an integrated Gigabit LTE modem and interwork cohesively via dual-connectivity. Gigabit LTE will become an essential pillar for the 5G mobile experience, as it can provide a wide coverage layer for nascent 5G networks.
“The Snapdragon X50 5G modem heralds the arrival of 5G as operators and OEMs reach the cellular network and device testing phase,” said Cristiano Amon, executive vice president, Qualcomm Technologies, Inc., and president, QCT. “Utilizing our long history of LTE and Wi-Fi leadership, we are thrilled to deliver a product that will help play a critical role in bringing 5G devices and networks to reality. This shows that we’re not just talking about 5G, we’re truly committed to it.”
With the Snapdragon X50 5G modem, operators deploying mmWave 5G networks can now work closely with QTI to conduct lab tests, field trials and early network deployments. Additionally, OEMs utilizing the Snapdragon X50 5G modem will have an opportunity to gain an early start in optimizing their devices for the unique challenges associated with integrating mmWave. Incorporating the Snapdragon X50 5G modem in devices on a live 5G network can yield valuable insight into the challenges of integrating emerging technologies in form-factor accurate devices. QTI will utilize these insights to help accelerate the standardization and commercialization of 5G New Radio (NR), the global standard for 5G.
For consumers, enhanced mobile broadband supported by 5G will bring unprecedented immediacy between mobile users and cloud services, enhancing media consumption, improving media generation and offering even faster access to rich information. Additionally, the proliferation of 5G technology can make it more cost-effective and easier for multi-gigabit Internet service to reach more homes and businesses.
The Snapdragon X50 5G modem builds on QTI’s long history of delivering industry-leading orthogonal frequency-division multiplexing (OFDM) chips and technology, previously demonstrated by the company’s industry leadership in several generations of LTE technology and products, as well as mmWave and massive MIMO architectures in 802.11ad products.
The Snapdragon X50 5G platform will include the modem, the SDR051 mmWave transceivers, and the supporting PMX50 power management chip. Sampling for the Snapdragon X50 5G modem is expected to begin in the second half of 2017. The first commercial products that will integrate the Snapdragon X50 5G modem are expected to be available during the first half of 2018.
Huawei Mate 20 unveils ‘higher intelligence’
The new Mate 20 series, launching in South Africa today, includes a 7.2″ handset, and promises improved AI.
Huawei Consumer Business Group today launches the Huawei Mate 20 Series in South Africa.
The phones are powered by Huawei’s densest and highest performing system on chip (SoC) to date, the Kirin 980. Manufactured with the 7nm process, incorporating the Cortex-A76-based CPU and Mali-G76 GPU, the SoC offers improved performance and, according to Huawei, “an unprecedented smooth user experience”.
The new 40W Huawei SuperCharge, 15W Huawei Wireless Quick Charge, and large batteries work in tandem to provide users with improved battery life. A Matrix Camera System includes a Leica Ultra Wide Angle Lens that lets users see both wider and closer, with a new macro distance capability. The camera system adopts a Four-Point Design that gives the device a distinct visual identity.
The Mate 20 Series is available in 6.53-inch, 6.39-inch and 7.2-inch sizes, across four devices: Huawei Mate 20, Mate 20 Pro, Mate 20 X and Porsche Design Huawei Mate 20 RS. They ship with the customisable Android P-based EMUI 9 operating system.
“Smartphones are an important entrance to the digital world,” said Richard Yu, CEO of Huawei Consumer BG, at the global launch in London last week. “The Huawei Mate 20 Series is designed to be the best ‘mate’ of consumers, accompanying and empowering them to enjoy a richer, more fulfilled life with their higher intelligence, unparalleled battery lives and powerful camera performance.”
The SoC fits 6.9 billion transistors within a die the size of a fingernail. Compared to Kirin 970, the latest chipset is equipped with a CPU that is claimed to be 75 percent more powerful, a GPU that is 46 percent more powerful and an NPU (neural processing unit) that is 226 percent more powerful. The efficiency of the components has also been elevated: the CPU is claimed to be 58 percent more efficient, the GPU 178 percent more efficient, and the NPU 182 percent more efficient. The Kirin 980 is the world’s first commercial SoC to use the Cortex-A76-based cores.
Huawei has designed a three-tier architecture that consists of two ultra-large cores, two large cores and four small cores. This allows the CPU to allocate the optimal amount of resources to heavy, medium and light tasks for greater efficiency, improving the performance of the SoC while enhancing battery life. The Kirin 980 is also the industry’s first SoC to be equipped with Dual-NPU, giving it higher On-Device AI processing capability to support AI applications.
Read more about the Mate 20 Pro’s connectivity, battery and camera on the next page.
How Quantum computing will change … everything?
Research labs, government agencies (NASA) and tech giants like Microsoft, IBM and Google are all focused on developing quantum theories first put forward in the 1970s. What’s more, a growing start-up quantum computing ecosystem is attracting hundreds of millions of investor dollars. Given this scenario, Forrester believes it is time for IT leaders to pay attention.
“We expect CIOs in life sciences, energy, defence, and manufacturing to see a deluge of hype from vendors and the media in the coming months,” says Forrester’s Brian Hopkins, VP, principal analyst serving CIOs and lead author of a report: A First Look at Quantum Computing. “Financial services, supply-chain, and healthcare firms will feel some of this as well. We see a market emerging, media interest on the rise, and client interest trickling in. It’s time for CIOs to take notice.”
The Forrester report gives some practical applications for quantum computing which helps contextualise its potential:
- Security could massively benefit from quantum computing. Factoring very large integers could break RSA-encrypted data, but could also be used to protect systems against malicious attempts.
- Supply chain managers could use quantum computing to gather and act on price information using minute-by-minute fluctuations in supply and demand
- Robotics engineers could determine the best parameters to use in deep-learning models that recognise and react to objects in computer vision
- Quantum computing could be used to discover revolutionary new molecules making use of the petabytes of data that studies are now producing. This would significantly benefit many organisations in the material and life sciences verticals – particularly those trying to create more cost-effective electric car batteries which still depend on expensive and rare materials.
Continue reading to find out how Quantum computing differs.