Throughput Optimization of non-real-time flows with delay guarantee of real-time flows in WLANs

2015 ◽  
Author(s):  
Yayu Gao ◽  
Lin Dai ◽  
Xiaojun Hei
Keyword(s):  
Real Time ◽  
Throughput Optimization ◽  
Delay Guarantee

Statistical transmission delay guarantee for nonreal-time traffic multiplexed with real-time traffic

2003 ◽  
Vol 26 (12) ◽  
pp. 1365-1375 ◽  
Author(s):  
F.Xabier Albizuri ◽  
Manuel Graña ◽  
Bogdan Raducanu
Keyword(s):  
Real Time ◽  
Transmission Delay ◽  
Delay Guarantee ◽  
Real Time Traffic

scholarly journals A High Speed Architecture for Lifting-based 2-D Cohen-Daubechies-Feauveau (5,3) Discrete Wavelet Transform used in JPEG2000

2017 ◽  
Vol 6 (1) ◽  
pp. 24 ◽  
Author(s):  
Mohammad Rafi Lone ◽  
Najeed- Ud-Din
Keyword(s):  
Real Time ◽  
Video Processing ◽  
High Speed ◽  
Parallel Implementation ◽  
Critical Path ◽  
Low Complexity ◽  
Discrete Wavelet ◽  
Throughput Optimization ◽  
Xilinx Fpga ◽  
Parallel Fashion

For real-time applications, efficient VLSI implementation of DWT is desired. In this paper, DWT architecture based on retiming for pipelining and unfolding is presented. The architecture is based on lifting one-dimensional Cohen-Daubechies-Feauveau (CDF) (5,3) wavelet filter, which is easily extended to 2-D implementation. It consists of low complexity and easily repeatable components. This paper is focused on the critical path minimization and throughput optimization at the same time. The architecture has been implemented on Virtex 6 Xilinx FPGA platform. The implementation results show that the critical path is minimized four to five times, while throughput is doubled, making the overall architecture approximately ten times faster when compared with the conventional lifting-based DWT architecture. Further with parallel implementation, the throughput has doubled without any increase in number of row buffers, implying that the architecture is memory efficient as well. The even and odd rows of the image are scanned in parallel fashion. To perform the 2-D DWT transform of an image of size 15 Megapixels, it takes 16.86 ms, which implies 59 images of that size can be processed in one second. This can be utilized for real-time video processing applications even for high resolution videos.

Real-time quality of service with delay guarantee in sensor networks

2011 ◽  
Vol 9 (1) ◽  
pp. 50 ◽  
Author(s):  
Sofiane Ouni ◽  
Salsabil Gherairi ◽  
Farouk Kamoun
Keyword(s):  
Quality Of Service ◽  
Sensor Networks ◽  
Real Time ◽  
Delay Guarantee

scholarly journals Throughput Optimization With Delay Guarantee for Massive Random Access of M2M Communications in Industrial IoT

2019 ◽  
Vol 6 (6) ◽  
pp. 10077-10092 ◽  
Author(s):  
Changwei Zhang ◽  
Xinghua Sun ◽  
Jun Zhang ◽  
Xianbin Wang ◽  
Shi Jin ◽  
...  
Keyword(s):  
Random Access ◽  
Throughput Optimization ◽  
Delay Guarantee ◽  
M2m Communications ◽  
Industrial Iot

Some Recent Results in Quiescent Prominence Spectrometry

1979 ◽  
Vol 44 ◽  
pp. 41-47
Author(s):  
Donald A. Landman
Keyword(s):  
Real Time ◽  
Computer System ◽  
Spectral Response ◽  
Absolute Intensity ◽  
Solar Observatory ◽  
Target Size ◽  
Small Target ◽  
Signal Averaging ◽  
Quiescent Prominence

This paper describes some recent results of our quiescent prominence spectrometry program at the Mees Solar Observatory on Haleakala. The observations were made with the 25 cm coronagraph/coudé spectrograph system using a silicon vidicon detector. This detector consists of 500 contiguous channels covering approximately 6 or 80 Å, depending on the grating used. The instrument is interfaced to the Observatory’s PDP 11/45 computer system, and has the important advantages of wide spectral response, linearity and signal-averaging with real-time display. Its principal drawback is the relatively small target size. For the present work, the aperture was about 3″ × 5″. Absolute intensity calibrations were made by measuring quiet regions near sun center.

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