5G will revolutionize industries – and help change the way we live, work and relate to each other – by enabling millions of devices to intelligently connect in ways never before imagined. And just like 3G and 4G, it will be brought to you by Qualcomm.
With long battery life, immersive experiences, cutting-edge camera capabilities and Gigabit Class download speeds, the Qualcomm® Snapdragon™ 835 Mobile Platform is designed to provide phenomenal mobile performance.
Imagine a future where you’re in your EV on a highway and able to pick up charge while driving Now imagine a slow-moving taxi queue of EVs being able to pick up charge even in traffic. These scenarios are all possible with Qualcomm Halo dynamic electric vehicle charging (DEVC). Based on our WEVC technology, which allows cars to charge while parked, DEVC — charging while driving — has been tested and proven.
Here’s a closer look at the technologies the two platforms share, along with a few that are exclusive to each:
Brilliant, intelligent photos and videos
The two platforms’ camera capabilities can help turn anyone’s photo skills up a notch. With the Snapdragon 660 and 630, customers can get:
The 14-bit Qualcomm Spectra 160 ISP supports cameras that capture up to 24 megapixels single ISP images with zero shutter lag. Spectra is also designed to deliver smooth zoom, lightning-fast autofocus, and true-to-life colors for vivid photos.
4K video capture and playback is integrated, so users can record high-definition videos at 30 frames per second, straight from the device.
The Snapdragon 630 supports up to 13MP + 13MP for dual cameras, while the 660 bumps that up to 16MP + 16MP. The 660 is also equipped with the Qualcomm Hexagon 680 DSP, which incorporates HVX. HVX is designed to support higher camera performance by taking on tasks traditionally handled by the ISP through advanced computer vision and powerful yet efficient image processing.
OEMs and developers can power immersive user experiences with machine learning on both of these new Snapdragon mobile platforms, using the Snapdragon Neural Processing Engine SDK. With the help of the SDK, when designing for artificial intelligence, developers have the flexibility to target the core of choice that best matches the power and performance profile of the intended user experience. They can create a feature or an application that uses deep neural networks to improve the performance of a particular task, like scene classification, facial recognition and object tracking, voice and language detection, and filtering out background noise. The SDK is engineered to support convolutional neural networks, LSTMs (Long Short-Term Memory) expressed in Caffe,Caffe2 and TensorFlow, as well as conversion tools designed to ensure optimal performance on Snapdragon heterogeneous cores.
High-def multimedia experiences
Capturing a great photo means little if a device’s display isn’t up to par. The Snapdragon 660 and 630 combines the following for a scintillating visual and audio experience:
The Qualcomm Aqstic audio codec is engineered to deliver Hi-Fi audio — quality fit for recording studios — on the go. It supports up to 192-kHz/24-bit playback, with extremely low distortion and high dynamic range.
With the Snapdragon 660 platform, the multimedia experience isn’t restricted to your smartphone screen. Plug a Snapdragon 660 powered smartphone directly into a 4K television via a display port and you can watch 4K videos on the big screen.
Fast, consistent connections
The Snapdragon 660 and 630 platforms both possess multiple connectivity features, all working together to support a consistent data and voice experience, including:
An advanced RF Front End support,which includes TruSignal adaptive antenna technology with carrier aggregation, is designed to optimize signal quality, so you can use your phone in even the most remote places
Support for Bluetooth 5 which can double a device’s transfer speed and quadruple its Bluetooth range
A new and powerful location engine with support for new constellations, engineered for fast location fix, enhancements to support mandatory emergency service requirements, and smooth pedestrian navigation
In addition to these technologies, the Snapdragon 660 supports 2x2 MU-MIMO 802.11ac Wi-Fi. That means a stronger signal. This is especially beneficial in houses and offices made of thick brick and concrete walls, engineered to allow for a better connection in the entire space without coverage dead spots. Compared to its predecessor, the Snapdragon 653, the 660 is designed to support up to 2X the data throughput, allowing users to enjoy unfettered video, faster downloads, and an excellent connectivity experience.
Upgrades in power and performance
A myriad of technologies integrated in the Snapdragon 660 and 630 work together to not only stretch battery life, but also optimize a device’s performance. The platforms include:
Qualcomm All-Ways Aware technology, a sensor hub engineered to continually collect data without gobbling up battery life. The hub collects and processes information, allowing devices to track location, sense motion, and predict behavior.
Qualcomm Quick Charge 4 is designed for up-to 20 percent faster and 30 percent more efficient than its predecessor. Five minutes of charging can power 5 hours of talk time; 15 minutes of charging can bring a phone’s battery up 50 percent.
Both mobile platforms’ GPU and CPU offer a step up in performance compared to their older counterparts. The Snapdragon 660’s CPU and GPU have also been upgraded. The platform’s Kryo 260 CPU, an octa-core configuration, is designed to contribute to an overall 20 percent improvement in performance over the Snapdragon 653. A Qualcomm Adreno 512 GPU is designed to offer up to a 30 percent improvement in performance compared to the previous generation, the Adreno 510 GPU.
The Snapdragon 630 platform is outfitted with the Adreno 508 GPU, engineered to support lifelike visuals, efficient rendering for 3D graphics, and an up-to 30 percent improvement in performance compared to the Adreno 506 GPU. Its eight-core CPU is engineered to perform 10 percent better than the Snapdragon 625 processor.
Enhancements in biometric security
Qualcomm mobile security,which comes with both platforms, provides a comprehensive suite that supports advanced, biometric authentication technologies. This includes fingerprint scanning, iris scanning, facial recognition, and voice prints, designed to help to ensure protection for a device’s hardware and software.
The Snapdragon 660 and 630 mobile platforms are a solid step up from prior 600-tier processors, created to get the most out of what OEMs offer. The Snapdragon 660 platform is available now while the Snapdragon 630 platform is expected to ship towards the end of this month.
And what use case is driving this? Hint – you already have one.
I know it’s not the glamorous answer. I understand the burning desire is to hear industry buzzwords like autonomous cars and Internet of Things. And don’t get me wrong, 5G NR is absolutely being designed to meet an extreme variation of requirements, allowing it to serve as a connectivity fabric for an array of world-changing use cases in the next decade and beyond, including the previously mentioned buzzwords. But the first phase of 5G NR, coming in 2019, is going to address ever-increasing mobile broadband needs as consumers continue to devour more and more data (especially video) on their smartphones and beyond.
The average consumer’s smartphone is expected to go from consuming 1.6 GB of data per month today to close to 7 GB of data per month in 2021 (Source: Cisco Visual Network Index: Global Mobile Data Traffic Forecast Update, 2016 - 2021). This is driven by explosive growth in video traffic as mobile increasingly becomes the source of media and entertainment, as well as the massive growth in always-connected cloud computing/experiences.
LTE provides superior coverage and handover performance
During the field trial, approximately 1,000 flights were performed to collect datasets that were post processed and analyzed. We also performed simulations to complement field trial results by allowing study of performance tradeoffs when the network is serving many mobile devices and LTE-connected drones simultaneously over a wide area. Simulations also enabled rapid testing of parameter and feature changes that are more difficult to study in a commercial network.
The field trial demonstrated that LTE networks can support safe drone operation in real-world environments. Our findings showed that existing commercial cellular networks can provide coverage to drones at low altitudes up to 400 feet AGL. Our test drones also showed seamless handovers between different base stations during flights. Below is a glimpse of these findings.
Very strong signal availability at higher altitudes: Received signal strengths for LTE drones at altitude are very strong despite downtilted antennas in the network. In fact, signal strengths are statistically and significantly stronger for drones at altitude than for mobile devices on the ground (“ground mobile devices”) because the free space propagation conditions at altitude more than make up for antenna gain reduction.
Successful handover and lower frequency of handover events: Handover performance for drones is superior to ground mobile devices. This is attributed to the increased stability of signals with free space propagation relative to those subjected to multipath, shadowing, and clutter experienced on the ground.
Comparable coverage to ground mobile devices: The signal quality of the network-to-drone link (downlink) was statistically lower for drones at altitude compared to the quality at ground; we measured the signal-to-interference-plus-noise ratios (SINRs) with a median decrease of 5 dB due to neighbor-cell interference. However, the coverage outage probability (defined as SINR < -6dB) is very similar for drones and ground mobile devices. Given the downlink data rates required for drone use cases are mostly limited (e.g., command and control), commercial LTE networks should be able to support downlink communications requirements of initial LTE-connected drone deployment without any change.
Strong evolution path for enhanced drone support
As mentioned before, existing commercial LTE networks can support initial drone deployment. However, LTE evolution will take this to the next level, enabling our vision of wide-scale deployments of drones that are expected to reshape countless industries including construction, delivery, entertainment, insurance, mapping, news gathering, public safety, public utilities, railroads, real estate, agriculture, and wildlife conservation. To enable wide-scale operation of drones, we identified several optimization opportunities including:
Interference mitigation: For uplink communications (drone-to-network link), a drone’s transmit power is significantly lower at altitude than ground mobile devices. However, drones at altitude produce more uplink interference in the network than ground mobile devices because free space propagation increases the interference energy received at neighbor cells. This effect should not be an issue for initial deployment of LTE-connected drones in limited numbers; however, interference mitigation techniques can be explored to enable wide-scale deployment of drones in the future.
Power control optimization: In our simulations, we illustrated several effective interference mitigation techniques, including power control optimizations. For example, the interference issue is eliminated with the Optimized Open-loop Power Control (OLPC) approach that not only sets target signal strength at the serving cell, but also limits neighbor cell interference using downlink path loss estimation. Thus, many more drones with high uplink data rates can be supported without causing excess interference to the network or degradation to ground mobile device performance. This allows LTE networks to better support wide-scale deployment of connected drones with high-bandwidth uplink transmission (e.g., high-resolution video streaming).
Serving cell selection optimization: We observed different cell selection characteristics for drones compared to ground mobile devices, where test drones were more likely than ground mobile devices to sub-optimally select a serving cell. Cell selection algorithms can be further optimized to better help ensure drones select the strongest serving cell, resulting in improved signal-to-noise ratio and optimized network capacity.
Benefiting from the fast-moving and established cellular ecosystem
This is just the beginning. The growing drone industry will benefit from the fast pace of innovation of the cellular ecosystem and continuous evolution of LTE technologies.
Qualcomm along with other cellular industry stakeholders have already started the next phase of research of further optimizing LTE for drones. A 3GPP study item was accepted this March to enhance LTE support for Aerial Vehicles (drones). Qualcomm will share its learnings from the trial with the cellular community to help shape the future optimizations in the standards. This is just another example of how Qualcomm is playing a leadership role in 3GPP by bringing our technology vision and supporting it with detailed technical designs and analysis created by our best-in-the-world communications system engineers. Also, as an active member of the Drone Advisory Committee Sub-Committee (DAC-SC) we are contributing our research and providing informed inputs to the industry and FAA about the viability of using commercial cellular networks for safe drone operation, particularly for BVLOS flights.
FIRST (For Inspiration and Recognition of Science and Technology) is an organization that was founded in 1989 by inventor Dean Kamen to foster interest in science and technology among young people. The nonprofit organization’s goal is to motivate the student community to pursue careers in STEM while providing them with valuable life lessons.
Oslo is set to be the first city to cut all emissions from its transportation network closely followed by other European cities such as London and Amsterdam. Their position as leaders stems from common traits in their commitment to the zero emissions agenda and a holistic approach to achieving it. Citizens are encouraged to travel using more environmentally-friendly transport like electric vehicles and green public transport. This is done via a range of incentives, penalties, and investments in making alternatives practical options compared to polluting vehicles.
Other European cities, including Zurich, Copenhagen, and Madrid, are also clear leaders in deploying an emissions reduction strategy thanks to their advanced economic development, recent decades of investment in sustainable infrastructure, and a sophisticated approach that combines a broad range of initiatives.
North American cities, such as San Francisco, Los Angeles, and New York, are being held back by a love of petrol cars and reluctance among leaders to use strong regulation and penalties to change behaviour — tactics already common in Europe.
Asian cities, like Tokyo, Beijing, Shanghai, and Singapore, are the most ambitious in the solutions they imagine. They’re investing heavily in visionary technologies, but face significant challenges to reduce their current high levels of congestion and pollution.
According to the Index, where 100% means a city is operating a completely zero emissions transportation network, the top and bottom five cities are:
Silicon Valley met Switzerland at this year’s Baselworld, the world’s premier event for the watch and jewelry industry, which celebrated its 100th anniversary this year. Several impressive smartwatches made their debut, all touting the Qualcomm Snapdragon Wear 2100 Platform and all powered by Android Wear 2.0. With this reliable platform and OS developed specifically for wearables, it’s no wonder high-end brands are looking beyond basic wearable functions, and combining style with technology to develop chic smartwatches fit for any lifestyle.
The superior SoC for smartwatches, Snapdragon Wear 2100, is an integrated, ultra-low power sensor hub. It’s 30 percent smaller than previous-generation wearable SoCs, allowing OEMs the freedom to develop thinner, sleeker product designs. And because it uses 25 percent less power than its older sibling (the Snapdragon 400), watchmakers can offer even more features and better designs.
The Snapdragon Wear 2100 comes in both tethered (Bluetooth and Wi-Fi) and connected (3G and 4G LTE) versions. The latter allows wearers to do more with their wearables, from streaming music to sending messages to calling a cab, in tandem with — or even without — having to bring their smartphones along.
Each of the touchscreen smartwatches included in this roundup run Android Wear 2.0, Google’s latest wearable operating system, and can pair with both iOS and Android phones. With Android Wear 2.0, users can personalize their watch faces with chronometer-style complications and create shortcuts to their favorite applications. In addition to the pre-installed Google Fit and calendar apps, more apps can be downloaded directly through the on-watch Google Play store, so wearers can customize their device to their lifestyle.
Android Wear 2.0 brings the Google Assistant to your wrist. Find answers and get things done even when your hands are full. Reply to a friend, set a reminder, or ask for directions. Just hold the power button or say “OK Google”.
Check out the some of Snapdragon Wear powered smartwatches that made a splash at this year’s Baselworld:
Application developers and device manufacturers understand what their users want. They can create a feature or an application that uses machine learning (more specifically, deep neural networks) to improve the performance of a particular task, such as detecting or recognizing objects, filtering out background noise, or recognizing voices or languages. These applications are usually run in the cloud, and depending on the device they’re in, this could be sub-optimal.
The Snapdragon Neural Processing Engine SDKwas created to help developers determine where to run their neural network-powered applications on the processor. For example, an audio/speech detection application might run on the Qualcomm Hexagon DSP and an object detection or style transfer application on the Qualcomm Adreno GPU. With the help of the SDK, developers have the flexibility to target the core of choice that best matches the power and performance profile of the intended user experience. The SDK supports convolutional neural networks, LSTMs (Long Short-Term Memory) expressed in Caffe and TensorFlow, as well as conversion tools designed to ensure optimal performance on Snapdragon heterogenous cores.
The Hexagon DSP and its wide vector extensions (HVX) offer an impressive power and performance mix for running neural networks on device. Performance is up to 8X faster and 25X more power efficient than using the CPU, which translates to lower battery consumption overall. In addition to support via the Snapdragon Neural Processing Engine, TensorFlow is directly supported on the Hexagon DSP, giving developers multiple options to run their chosen neural network power apps.
Here are a few applications that could be facilitated by Snapdragon 835 on-device machine learning tech:
Photography: Machine learning can aid in scene classification, real-time noise reduction, and object tracking, making it easier to take the perfect shot, or capture video regardless of the conditions.
VR/AR: With machine learning on your device, VR/AR feature can operate faster and with less lag, so everything from gestures and facial recognition to object tracking and depth perception are an immersive experience.
Voice detection: Your phone’s on-device AI can listen for commands and keywords to help you navigate the data and apps on your device more efficiently, and save power doing so.
Security: With facial recognition software and iris scanning, all operating independently from the cloud, your device can learn to identify, and help protect, you.
Connections: Your Snapdragon device has the ability to filter out distracting background noise during calls for clearer conversations with friends and family.
Qualcomm Technologies’ unique machine learning platform is engineered so devices powered by the Snapdragon 835 can run trained neural networks on your devices without relying on a connection to the cloud. Pretty innovative, right?
Qualcomm's technologies powered the smartphone revolution and connected billions of people. We pioneered 3G and 4G – and now we are leading the way to 5G and a new era of intelligent, connected devices. Our products are revolutionizing industries, including automotive, computing, IoT, healthcare and data center, and are allowing millions of devices to connect with each other in ways never before imagined. Qualcomm Incorporated includes our licensing business, QTL, and the vast majority of our patent portfolio. Qualcomm Technologies, Inc., a subsidiary of Qualcomm Incorporated, operates, along with its subsidiaries, all of our engineering, research and development functions, and all of our products and services businesses, including our QCT semiconductor business. To learn more, visit Qualcomm’s website, blog, Twitter and Facebook pages.
Across the globe, over 2 billion mobile users rely on strong, consistent connectivity to conduct sales, track deliveries, share data, and communicate. While the full potential of 4G is beginning to unfold for some, there are many places around the world where 3G — and even 2G — is still the reality.
It’s with this in mind that Qualcomm Technologies introduces the Qualcomm 205 Mobile Platform, designed specifically for feature phones to include 4G LTE. The platform is engineered to allow these phones to take advantage of fast connectivity, and to deliver 4G LTE speeds to users who, until now, may not have had the ability to access these networks. The Qualcomm 205 Mobile Platform can allow device manufacturers and network operators to offer 4G connectivity and services to more people with high-quality, affordable devices.
The local impact of 4G
Bringing 4G and other advanced connectivity features to more people can have a profound effect on both an area’s residents and its businesses. For example, local textile shops, fishermen, and health care workers — which make up a large percentage of local commerce in regions throughout India, Southeast Asia, and South America — can now enjoy the benefits of modern wireless data services.
We’ve seen the impact that Qualcomm Technologies’ investments in developing communities can have both economically and environmentally. Take India, where small-scale fishing is a primary source of family income. New access to affordable devices has greatly enhanced the accuracy and efficiency of these small operations. The Fisher Friend mobile app from Qualcomm Wireless Reach, for example, is made to provide real-time weather and ocean condition updates to local fishermen with mobile devices, as well as the ability to track both inventory expenses and sales. The app is now being used by 2,000 fishermen and has helped rescue 40 who were caught in dangerous weather conditions.
Unpacking the 205
One segment the Qualcomm 205 Mobile Platform is designed for is developing areas that previously were unable to gain access to high-quality, consistent, and affordable mobile connectivity. It incorporates the Qualcomm 205 Mobile SoC, which features the processing system as well as a variety of hardware components. And while India and countries in regions like Southeast Asia and Africa continue to see sizeable percentages of feature phone shipments, the opportunity for these phones exists worldwide.