Technology Support for Smart Computational Grid (SCG) in Future Wireless Systems

O.v Johnson ,Olayinka Taibat Jinadu

doi:10.7176/ceis/10-7-04

Abstract

The communication grid is an emerging infrastructure that will fundamentally change the way we think – and use – computing. Communication grid is used by analogy with the electric power grid, as an infrastructure that provides pervasive access to electricity. Like the computer and a small number of other advances had a dramatic impact on human capabilities and utilization of the scarce frequency resource, it is believed that allowing all components of our information technology infrastructure – computational capabilities, databases, sensors, and people – to be shared flexibly as true collaborative tools, the Smart Computational Grid (SCG) will have a similar transforming effect, allowing new classes of applications to emerge. Improvement in spectrum usage achieved by CR technology and associated collaborative computations on white spaces. Every spectrum hole includes several channels. Implementing collaborative algorithms over the channels help track changing environment parameters and managed to achieve smooth handoffs, which is maximized to offer services ranging from low-data-rate non-rea-time applications to high-speed real-time multimedia applications. With virtualization, the heterogeneous wireless access networks complement each other to deliver maximal signal strength, wider coverage, efficient data rate, low latency and reduced loss rate. Keywords: computation, detection, grid, sensing, virtualization DOI : 10.7176/CEIS/10-7-04 Publication date: November 30th 2019

Highlights

Grid Computing means that computing power and resources can be obtained as utility similar to electricity – the user can request information and computations and have them delivered to him without necessity to care where the data he requires resides or which computer is processing his request (Goyal and Lawande, 2005)
At the core of Grid Computing are virtualization and virtual centralization as well as availability of heterogeneous and distributed resources based on collaboration among and sharing of existing infrastructures from different organizational domains which together build the Computing Grid
Consumption power, throughput, error rate and interference performance objective metrics of Smart Computational Grid (SCG) has greater dependence on minimization of power consumption, which is directly placed on transmission power (P) in agreement with Chen and Wyglinski (2009)

Summary

Introduction

Grid Computing means that computing power and resources can be obtained as utility similar to electricity – the user can request information and computations and have them delivered to him without necessity to care where the data he requires resides or which computer is processing his request (Goyal and Lawande, 2005). Unlike other signaling techniques, (cyclo-stationary and interference-based) with long sensing time and complex computational tasks, matched filter detection only requires a prior knowledge of PU signal This is readily made available in real-world situation as CR user monitors radio spectrum periodically to opportunistically communicate over spectrum holes. CR operating parameters includes normalized transmission power, modulation scheme, transmission bit rate and centre frequency [sub-carrier bandwidth] These are adjusted in order to operate in the dynamic spectrum usage required by next-generation heterogeneous wireless environments (Raman and Singh, 2014). Slotted rendezvous is likely to happen in any of the N channels, real-time sensing in search of white spaces maximizes TTR This is a function of SNR of the signal samples. Frame duration is a combination of sensing time (Ts), channel search (Tc) and Transmission (Tt), the efficiency of spectrum usage for any typical sensing duration is expressed as

Discussion

Conclusion