Boosting Upload Speeds from Smartphones to Networks
Uploading 4K video from a smartphones is the next frontier but what's slowing down the revolution? Digital signal processing expert Will Strauss explains likely fixes.
As smartphone users, we are used to watching news videos, downloading apps and games and viewing YouTube clips every day. However, we are increasingly sending our own videos to YouTube, and the company says that 300 hours of video is now uploaded every minute. And that’s in addition to our uploading over 70 million photos a day to Instagram.
Clearly, users want to share their experiences with others. And it’s interesting to note that uplink traffic increases dramatically at major sports and cultural events, as many want to also share their event experience with their friends. We want to do more with our smartphones; traffic demands are high, but currently the bottleneck is with upload speeds. With powerful 12 MP+ cameras with 4K video now becoming the norm, our networks have to accommodate drastically increasing upload traffic.
There are three ways to increase LTE upload speeds.
To read the full article, click here
Related Semiconductor IP
- NPU IP Core for Mobile
- NPU IP Core for Edge
- Specialized Video Processing NPU IP
- HYPERBUS™ Memory Controller
- AV1 Video Encoder IP
Related Blogs
- The Road to Innovation with Synopsys 224G PHY IP From Silicon to Scale: Synopsys 224G PHY Enables Next Gen Scaling Networks
- From Silicon Design to End of Life - Mitigate Memory Failures to Boost Reliability
- Take your neural networks to the next level with Arm's Machine Learning Inference Advisor
- Reducing design cycle time for semiconductor startups: The path from MVP to commercial viability
Latest Blogs
- Cadence Extends Support for Automotive Solutions on Arm Zena Compute Subsystems
- The Role of GPU in AI: Tech Impact & Imagination Technologies
- Time-of-Flight Decoding with Tensilica Vision DSPs - AI's Role in ToF Decoding
- Synopsys Expands Collaboration with Arm to Accelerate the Automotive Industry’s Transformation to Software-Defined Vehicles
- Deep Robotics and Arm Power the Future of Autonomous Mobility