Wi-Fi 6 certification is here, marks evolution in delivery of Wi-Fi connectivity
salmanfaris last edited by
The Wi-Fi CERTIFIED 6 certification program from Wi-Fi Alliance is now available and delivers the best user experience with devices based on IEEE 802.11ax. The certification program brings new features and capabilities that enable substantially greater overall Wi-Fi network performance in challenging environments with many connected devices such as stadiums, airports, and industrial parks. With adoption of the latest Wi-Fi generation increasing, product vendors and service providers can trust Wi-Fi CERTIFIED will distinguish Wi-Fi 6 products and networks that meet the highest standards for security and interoperability. Wi-Fi CERTIFIED 6 provides significant capacity, performance, and latency improvements to the entire Wi-Fi ecosystem, while ensuring products across vendors to work well together to deliver greater innovation and opportunity.
Wi-Fi CERTIFIED 6 supports a more diverse set of devices and applications, from those requiring peak performance in demanding enterprise environments to those requiring low power and low latency in smart homes or industrial IoT scenarios. Wi-Fi CERTIFIED 6 delivers nearly four times the capacity of Wi-Fi 5, and is an evolutionary advancement for Wi-Fi’s ability to deliver high-performance infrastructure and optimized connectivity to all devices on a network simultaneously – bringing noticeable improvements in densely connected Wi-Fi environments. Wi-Fi CERTIFIED 6 delivers critical connectivity that supports cellular networks, and leverages high speeds, low latency, power efficiency, greater capacity, and enhanced coverage to deliver many advanced 5G services.
Wi-Fi CERTIFIED 6 delivers advanced security protocols and requires the latest generation of Wi-Fi security, Wi-Fi CERTIFIED WPA3. Advanced capabilities available in Wi-Fi CERTIFIED 6 include:
Orthogonal frequency division multiple access (OFDMA): effectively shares channels to increase network efficiency and lower latency for both uplink and downlink traffic in high demand environments
Multi-user multiple input multiple output (MU-MIMO): allows more downlink data to be transferred at once and enables an access point to transmit data to a larger number of devices concurrently
160 MHz channels: increases bandwidth to deliver greater performance with low latency
Target wake time (TWT): significantly improves battery life in Wi-Fi devices, such as Internet of Things (IoT) devices
1024 quadrature amplitude modulation mode (1024-QAM): increases throughput in Wi-Fi devices by encoding more data in the same amount of spectrum
*Transmit beamforming: enables higher data rates at a given range resulting in greater network capacity
@sreu13 I edited comment please read that again. Most probably it will not effect your file system. In some scenarios it can create worse effect.
@arunksoman i'll try this method, but while executing swap command, will the rasbian os and the files it contains be effected??
Ensure that you are installed tensorflow 1.x since screenshot of your code shows something like
from keras.layers.convolution import covolution2D
It is not correct in case for tensorflow 2.0 since keras api is part of tensorflow itself.
Another thing is try to expand your file system. It should be do with your own risk.sudo raspi-config Navigate to Advanced options Select advanced options and hit enter(I believes tab key is useful here) Choose Expand File System and hit enter finish. Then your pi may prompt to reboot. If it didn't run. Execute
sudo reboot Then execute following commands one by one: $ sudo apt-get purge wolfram-engine $ sudo apt-get purge libreoffice* $ sudo apt-get clean $ sudo apt-get autoremove Then increase swap memory by editing following file swapfile:
$ sudo nano /etc/dphys-swapfile It will open nano editor. Navigate to variable CONF_SWAPSIZE=100
It indicates your current swap is only 100mb.#CONF_SWAPSIZE=100 CONF_SWAPSIZE=2048 Save the file and exit nano editor. sudo reboot
So you just have to increase by commenting down this line and increase to appropriate value something like shown below for 2GB swap:
I believes if it did not helped you, you have to think about MOVIDIUS or NVIDIA Jetson nano etc.
@arunksoman tensorflow 2.0.0 version had been installed
I will look more into it. Thanks again