An Efficient LUT based Approach towards Channel Coding in GSM and its Implementation

2019 ◽  
Vol 09 ◽  
Author(s):  
Swapnil Sutar ◽  
Priyanka Mekala ◽  
Supriya Goel
Keyword(s):  
Conventional Method ◽  
Communication System ◽  
Channel Coding ◽  
Computation Time ◽  
Mobile Network ◽  
Network Link ◽  
Number Of Cycles ◽  
In Fire ◽  
Fire Codes ◽  
Very High

Background & Objective: The channel coding improves the performance of the mobile network link by adding redundant bits in the message in order to detect and correct the errors occurred during transmission of the data. The traditional method involved in channel coding for GSM has more number of operations, its computation time and complexity was very high which increases the latency in communication. To reduce the latency, we propose a novel and efficient Look Up Table (LUT) based implementation using Fire codes for Control Channel Coding in GSM. Method: In this research paper, a new and competent LUT based implementation towards channel coding in GSM is projected. This proposed technique will significantly decrease the computation time and number of cycles with less complexity. The suggested method improvises the coding scheme of FIRE codes adopted in GSM communication system by reducing the number of shift operations to zero. Results: The proposed LUT based method outperforms the conventional method by reducing the number of cycles, XOR operations, shift operations, execution time and memory consumption. Our algorithm achieved around 89% improvement in Fire code implementation compared to Shift and XOR method, which is, consider as significant growth for GSM communication system. Conclusion: The proposed technique demonstrated the significant improvement in reducing the latency and memory usage in comparison to the conventional method.

scholarly journals Critical Dynamics of Defects and Mechanisms of Damage-Failure Transitions in Fatigue

Materials ◽  
2021 ◽  
Vol 14 (10) ◽  
pp. 2554
Author(s):  
Oleg Naimark ◽  
Vladimir Oborin ◽  
Mikhail Bannikov ◽  
Dmitry Ledon
Keyword(s):  
Fatigue Damage ◽  
Kinetic Equations ◽  
Experimental Methodology ◽  
Preliminary Deformation ◽  
Scaling Properties ◽  
In Situ Data ◽  
Number Of Cycles ◽  
Fish Eye ◽  
Very High

An experimental methodology was developed for estimating a very high cycle fatigue (VHCF) life of the aluminum alloy AMG-6 subjected to preliminary deformation. The analysis of fatigue damage staging is based on the measurement of elastic modulus decrement according to “in situ” data of nonlinear dynamics of free-end specimen vibrations at the VHCF test. The correlation of fatigue damage staging and fracture surface morphology was studied to establish the scaling properties and kinetic equations for damage localization, “fish-eye” nucleation, and transition to the Paris crack kinetics. These equations, based on empirical parameters related to the structure of the material, allows us to estimate the number of cycles for the nucleation and advance of fatigue crack.

Research on LDPC channel coding technology in satellite communication system

2021 ◽  
Author(s):  
Shikang Nie ◽  
Guangting Li ◽  
Xin Liu ◽  
Xin Zhang ◽  
Chenchen Lin ◽  
...  
Keyword(s):  
Communication System ◽  
Channel Coding ◽  
Satellite Communication ◽  
Satellite Communication System

What the past can say about the present and future of fire

2020 ◽  
Vol 96 ◽  
pp. 66-87
Author(s):  
Jennifer R. Marlon
Keyword(s):  
Climate Change ◽  
Terrestrial Ecosystems ◽  
Combustion Products ◽  
Temperature Changes ◽  
The Public ◽  
The Past ◽  
Warming Climate ◽  
Highly Sensitive ◽  
In Fire ◽  
Very High

AbstractWildfires are an integral part of most terrestrial ecosystems. Paleofire records composed of charcoal, soot, and other combustion products deposited in lake and marine sediments, soils, and ice provide a record of the varying importance of fire over time on every continent. This study reviews paleofire research to identify lessons about the nature of fire on Earth and how its past variability is relevant to modern environmental challenges. Four lessons are identified. First, fire is highly sensitive to climate change, and specifically to temperature changes. As long as there is abundant, dry fuel, we can expect that in a warming climate, fires will continue to grow unusually large, severe, and uncontrollable in fire-prone environments. Second, a better understanding of “slow” (interannual to multidecadal) socioecological processes is essential for predicting future wildfire and carbon emissions. Third, current patterns of burning, which are very low in some areas and very high in others—are often unprecedented in the context of the Holocene. Taken together, these insights point to a fourth lesson—that current changes in wildfire dynamics provide an opportunity for paleoecologists to engage the public and help them understand the potential consequences of anthropogenic climate change.

scholarly journals Higher performance and lower complexity turbo decoding scheme for 4G-LTE using unpunctured turbo trellis-coded modulation

2020 ◽  
Vol 18 (1) ◽  
pp. 351
Author(s):  
Elarbi Abderraouf ◽  
Abdesselam Bassou ◽  
Mohamed Rida Lahcene Rida Lahcene
Keyword(s):  
Mobile Networks ◽  
Channel Coding ◽  
Iterative Decoding ◽  
High Efficiency ◽  
Turbo Code ◽  
Mobile Network ◽  
Coded Modulation ◽  
Mobile Technologies ◽  
Trellis Coded Modulation ◽  
Trellis Coded

<p>Thanks to the success of smart phones and mobile-ready laptops, data traffic has recently grown exponentially, and the demand for mobile data has risen very dramatically. These requests in large capacity can only be satisfied by a high efficiency and a very good optimization of the infrastructures of the mobile networks, while taking into account the constraints which are the power, bandwidth and a limited complexity. The task of developing mobile technologies has also evolved from a national or regional focus to a complex and growing mission, supported by global standards development organizations such as 3GPP (3rd Group Partnership Project). Through this research, we present everything related to the simulation of the 4G mobile network system (LTE), which can provide high data flow with good quality, through three model channels known as (EPA, EVA, ETU). In this work we focus on the block ‘iterative decoding channel encoder’ in the LTE system, where the iterative channel coding called ‘Turbo-code’ (TC) is substituted by the iterative coding channel called ‘Unpunctured Turbo Trellis-coded Modulation’ (UTTCM). The simulation results showed that with less decoding complexities, UTTCM's LTE system gives good performance (in terms of BER).</p>

scholarly journals Object Detection in Very High-Resolution Aerial Images Using One-Stage Densely Connected Feature Pyramid Network

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3341 ◽  
Author(s):  
Hilal Tayara ◽  
Kil Chong
Keyword(s):  
High Resolution ◽  
Object Detection ◽  
Computation Time ◽  
Aerial Images ◽  
Feature Maps ◽  
Two Stage ◽  
One Stage ◽  
Wide Range ◽  
Feature Pyramid ◽  
Very High

Object detection in very high-resolution (VHR) aerial images is an essential step for a wide range of applications such as military applications, urban planning, and environmental management. Still, it is a challenging task due to the different scales and appearances of the objects. On the other hand, object detection task in VHR aerial images has improved remarkably in recent years due to the achieved advances in convolution neural networks (CNN). Most of the proposed methods depend on a two-stage approach, namely: a region proposal stage and a classification stage such as Faster R-CNN. Even though two-stage approaches outperform the traditional methods, their optimization is not easy and they are not suitable for real-time applications. In this paper, a uniform one-stage model for object detection in VHR aerial images has been proposed. In order to tackle the challenge of different scales, a densely connected feature pyramid network has been proposed by which high-level multi-scale semantic feature maps with high-quality information are prepared for object detection. This work has been evaluated on two publicly available datasets and outperformed the current state-of-the-art results on both in terms of mean average precision (mAP) and computation time.

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