Issue link: https://resources.mouser.com/i/1315957
31 | can involve increasing the number of antennas for a base station to widen its network capacity; it can also refer to sending and receiving more than one data signal over the same radio channel using multipath propagation. In either case, it means greater capacity to communicate with more devices without the requirement of additional radio spectrum. Autonomous Vehicles Autonomous vehicles (AVs) are automobiles that can navigate without human input—for example, a self-driving car. AVs work today without the 5G wireless infrastructure, but with faster, lower latency 5G communication, new services will become possible for the emerging AV technology. Such improved communication could offer a range of services for a driver or passengers, including entertainment (e.g., video, music) and broadband access. A driver could benefit from automatically adjusted navigation and routing through integrated accident or severe traffic updates or benefit from vehicle- to-vehicle (V2V) communication to optimize traffic flow, such as through creating a localized coordination of lane changes between vehicles. Surveillance Surveillance, or video- and audio- based monitoring of activities or behavior, will experience significant changes with 5G technology. Most surveillance solutions today rely on Internet Protocol (IP) networks, which are connected through Wi-Fi to an Internet service provider (ISP) that can offer limited bandwidth. Many of these solutions permit two-way communication, but this communication can be hindered by IP networks that are asymmetric (i.e., that have high download speeds but slower upload speeds). The available bandwidth that a 5G network will offer will enable smooth streaming of higher-resolution video, such as 1080p high-definition (HD) video, which third-generation (3G) or fourth-generation (4G) wireless networks cannot easily support. The speed of 5G communication will support real-time face detection and recognition in the cloud. As a camera grabs high-resolution (hi- res) frames of video, it will be able to upload each frame into the cloud for processing. This process can be optimized by performing face detection at the camera and then distributing the detected faces (the framed regions for each given face) to independent servers in the cloud. This step will facilitate better use of the 5G infrastructure because the images sent to the cloud will be smaller and can then be processed as they are received, parallelizing the complex recognition process.