The analysis of IEEE 802.11 DCF protocol based on LEO satellite Wi-Fi network

He, Weijun; Tao, Xiaofeng; Ren, Defeng

doi:10.1088/1742-6596/1026/1/012013

Cited by 2 publications

(1 citation statement)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The bias matrix is initialized to zero, and the weight matrix is initialized by using random numbers described by He et al 33) unless otherwise mentioned.…”

Section: Artificial Neural Networkmentioning

confidence: 99%

Physics-informed neural networks for solving the Boltzmann equation of the electron velocity distribution function in weakly ionized plasmas

Kawaguchi

Murakami

2022

Jpn. J. Appl. Phys.

View full text Add to dashboard Cite

The equilibrium electron velocity distribution function (EVDF) and electron transport coefficient in weakly ionized plasmas under crossed DC uniform electric and magnetic fields are calculated via the Boltzmann equation (BE) using physics-informed neural networks (PINNs). The latent solution of the BE is represented by artificial neural network, and then the neural network is trained to respect the BE. By leveraging automatic differentiation, no mesh generation in velocity space is required, allowing us to calculate the three-dimensional EVDF properly with 0.01% of memory capacity required for the conventional mesh-based method. The EVDF and electron transport coefficients in SF6 calculated from the PINNs are benchmarked by comparing with those calculated from Monte Carlo simulation (MCS). In most cases, the relative difference between the electron transport coefficient calculated from the PINNs and MCS is found to be within 1%.

show abstract

“…The bias matrix is initialized to zero, and the weight matrix is initialized by using random numbers described by He et al 33) unless otherwise mentioned.…”

Section: Artificial Neural Networkmentioning

confidence: 99%

Physics-informed neural networks for solving the Boltzmann equation of the electron velocity distribution function in weakly ionized plasmas

Kawaguchi

Murakami

2022

Jpn. J. Appl. Phys.

View full text Add to dashboard Cite

show abstract

Improved MAC layer protocol of Wifi for satellite network

Liu

Chen

et al. 2019

PLoS ONE

View full text Add to dashboard Cite

With the development and universal application of satellite technology, an important way to expand the function of satellites is setting up inter-satellite networks to make them work together. Traditional satellite networking methods generally adopt a fixed time slot allocation method, which is not suitable for small satellite groups with low latency and high throughput requirements. In order to solve this problem, it has been proposed to apply the traditional Wifi protocol in satellite networking. As there are differences between satellite networks and terrestrial networks, it’s necessary to improve the traditional 802.11 protocol. The Media Access Control (MAC) protocol in 802.11 is improved in this paper, which mainly includes the adaptive algorithm of maximum contention window size and the growth algorithm of Contention Window (CW) size. The maximum contention window is adjusted according to the conflict state of the current network, which makes the network accommodate more satellite nodes. The CW growth algorithm improves the traditional Binary Exponential Back-off (BEB) algorithm, where the CW is designed according to the priority of the data frame or the network load. In this way, high-priority satellite accusation information will have higher reliability or tolerate greater network load.

show abstract

The analysis of IEEE 802.11 DCF protocol based on LEO satellite Wi-Fi network

Cited by 2 publications

References 1 publication

Physics-informed neural networks for solving the Boltzmann equation of the electron velocity distribution function in weakly ionized plasmas

Physics-informed neural networks for solving the Boltzmann equation of the electron velocity distribution function in weakly ionized plasmas

Improved MAC layer protocol of Wifi for satellite network

Contact Info

Product

Resources

About