Optimal Nano-Dimensional Channel of GaAs-FinFET Transistor

Mahmood, Ahmed; Jabbar, Waheb A.; Saad, Wasan Kadhim; Hashim, Yasir; Manap, Hadi

doi:10.1109/scored.2018.8710811

Cited by 6 publications

(6 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The application of more practical algorithms for the HO decision [ 68 , 69 ] are mathematically provided as follows:

where RSRSs represents the service BSRS, and RSRSt is the target BSRS. The average received signal level was computed from the UE’s perspective across the carrier by every UE and then it moves to the eNB specific to begin the optimisation operation.…”

Section: The Simulation Scenario and System Modelmentioning

confidence: 99%

“…The application of more practical algorithms for the HO decision [68,69] are mathematically provided as follows:…”

Section: The Simulation Scenario and System Modelmentioning

confidence: 99%

“…16) that have been taken into account in the simulation. The application of more practical algorithms for the HO decision [68,69] are mathematically provided as follows:…”

Section: The Simulation Scenario and System Modelmentioning

confidence: 99%

See 2 more Smart Citations

Handover Parameters Optimisation Techniques in 5G Networks

Saad

Shayea

Hamza

et al. 2021

Sensors

Self Cite

View full text Add to dashboard Cite

The massive growth of mobile users will spread to significant numbers of small cells for the Fifth Generation (5G) mobile network, which will overlap the fourth generation (4G) network. A tremendous increase in handover (HO) scenarios and HO rates will occur. Ensuring stable and reliable connection through the mobility of user equipment (UE) will become a major problem in future mobile networks. This problem will be magnified with the use of suboptimal handover control parameter (HCP) settings, which can be configured manually or automatically. Therefore, the aim of this study is to investigate the impact of different HCP settings on the performance of 5G network. Several system scenarios are proposed and investigated based on different HCP settings and mobile speed scenarios. The different mobile speeds are expected to demonstrate the influence of many proposed system scenarios on 5G network execution. We conducted simulations utilizing MATLAB software and its related tools. Evaluation comparisons were performed in terms of handover probability (HOP), ping-pong handover probability (PPHP) and outage probability (OP). The 5G network framework has been employed to evaluate the proposed system scenarios used. The simulation results reveal that there is a trade-off in the results obtained from various systems. The use of lower HCP settings provides noticeable enhancements compared to higher HCP settings in terms of OP. Simultaneously, the use of lower HCP settings provides noticeable drawbacks compared to higher HCP settings in terms of high PPHP for all scenarios of mobile speed. The simulation results show that medium HCP settings may be the acceptable solution if one of these systems is applied. This study emphasises the application of automatic self-optimisation (ASO) functions as the best solution that considers user experience.

show abstract

“…The application of more practical algorithms for the HO decision [ 68 , 69 ] are mathematically provided as follows:

Section: The Simulation Scenario and System Modelmentioning

confidence: 99%

“…The application of more practical algorithms for the HO decision [68,69] are mathematically provided as follows:…”

Section: The Simulation Scenario and System Modelmentioning

confidence: 99%

See 1 more Smart Citation

Handover Parameters Optimisation Techniques in 5G Networks

Saad

Shayea

Hamza

et al. 2021

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

“…Fading occurs because of overlapping between two or more from the signals sent to the receiver at slightly different times. However, these waves are multipath waves that unite in the receiving antenna and give the result of a signal that can vary greatly in amplitude and phase, according to the transmitted signal width, the relative propagation time of the waves and the distribution of intensity [13][14][15]. Unexpected delays change in regarded with various signal paths in a multipath fading channel, as well as can be statistically distinguished only.…”

Section: Introductionmentioning

confidence: 99%

Performance analysis of image transmission with various channel conditions/modulation techniques

et al. 2020

Self Cite

View full text Add to dashboard Cite

This paper investigates the impact of different modulation techniques for digital communication systems that employ quadrature phase shift keying (QPSK) and quadrature amplitude modulation (16-QAM and 64-QAM) to transmit images over AWGN and Rayleigh fading channels for the cellular mobile networks. In the further steps, wiener and median filters has been adopted to the simulation are used at the receiver side to remove the impulsive noise present in the received image. This work is performed to evaluate the transmission of two dimensional (2D) gray-scale and color-scale (RGB) images with different values from signal to noise ratios (SNR), such as; (5, 10 and 15) dB over different channels. The correct conclusions are made by comparing many of the observed Matlab simulation results. This was carried out through the results that measure the quality of received image, which is analyzes in terms of SNRimage peak signal to noise ratio (PSNR) and mean square error (MSE).

show abstract

“…That is the main principle of Nano technology which invaded the field of applied science, manufacturing, industrial, military, medical, agricultural and other fields [1][2][3] The most remarkable example for that is in nanoelectronics and nanoscience, where the technological progress has come from reductions, downsizing transistors and adding more numbers of transistors per chip [4,5]. The scaling of the complementary metal-oxide-silicon (CMOS) does not track the constant-field scaling principle accurately because of non-scaling factors-the threshold voltage [6,7]. The metal oxide semiconductor field effect transistors (MOSFET) are aiming at creating more sophisticated integrated circuits via using more transistors per chip.…”

Section: Introductionmentioning

confidence: 99%

Channel Length-Based Comparative Analysis of Temperature and Electrical Characteristics for SiNWT and GeNWT

al.¹

2020

IJCDS

View full text Add to dashboard Cite

This paper investigates the temperature sensitivity and electrical characteristics of Silicon Nanowire Transistor (SiNWT) and Germanium Nanowire Transistor (GeNWT) depending on variable channel length (Lg). It also studies the possibility of using them as a temperature nanosensor. The MuGFET simulation tool was exploited to investigate the characteristics of the considered nanowire transistors. Current-voltage characteristics with different values of temperature with channel length [Lg = 25, 45, 65, 85 and 105 nanometer (nm)], were simulated. MOS diode mode connection suggested measuring the temperature sensitivity of SiNWT and GeNWT too. Three (3) electrical characteristics namely; (i) Subthreshold Swing (SS), (ii) Threshold voltage (V T ), and (iii) Drain-induced barrier lowering (DIBL) were evaluated and compared for both NWTs. The obtained results show that SiNWT achieved a better temperature sensitivity with channel length range between 25 nm to 105 nm at operation voltage (V DD ) range 1 V to 5 V nm. It is very clear that the temperature sensitivity increased remarkably by increasing channel length for both of SiNWT and GeNWT as well, but in SiNWT the sensitivity is more steady compared to GeNWT that showing less sensitivity. Moreover, SiNWT shows better result in terms of electrical performance metrics for various channel length at T = 300 K comparing with GeNWT.

show abstract

Optimal Nano-Dimensional Channel of GaAs-FinFET Transistor

Cited by 6 publications

References 11 publications

Handover Parameters Optimisation Techniques in 5G Networks

Handover Parameters Optimisation Techniques in 5G Networks

Performance analysis of image transmission with various channel conditions/modulation techniques

Channel Length-Based Comparative Analysis of Temperature and Electrical Characteristics for SiNWT and GeNWT

Contact Info

Product

Resources

About