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
- SLVS Transceiver in TSMC 28nm
- 0.9V/2.5V I/O Library in TSMC 55nm
- 1.8V/3.3V Multi-Voltage GPIO in TSMC 28nm
- 1.8V/3.3V I/O Library with 5V ODIO & Analog in TSMC 16nm
- ESD Solutions for Multi-Gigabit SerDes in TSMC 28nm
Related Blogs
- From ChatGPT to Computer Vision Processing: How Deep-Learning Transformers Are Shaping Our World
- 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
- Half of the Compute Shipped to Top Hyperscalers in 2025 will be Arm-based
- Industry's First Verification IP for Display Port Automotive Extensions (DP AE)
- IMG DXT GPU: A Game-Changer for Gaming Smartphones
- Rivos and Canonical partner to deliver scalable RISC-V solutions in Data Centers and enable an enterprise-grade Ubuntu experience across Rivos platforms
- ReRAM-Powered Edge AI: A Game-Changer for Energy Efficiency, Cost, and Security