The combination of Mobile Edge Computing (MEC) and Digital Twin (DT) is anticipated to enhance the quality mobile application services in 6G era. However, current research often overlooks service caching task dependency, which may deteriorate system performance. Moreover, Servers (ESs) have limited computing resources capacities, require collaboration meet user demands. To address these challen...

Mobile edge computation (MEC) is a potential technology to reduce the energy consumption and task execution delay for tackling computation-intensive tasks on mobile device (MD). The resource allocation of MEC an optimization problem, however, existing large amount may hinder its practical application. In this work, we propose multiuser framework based unsupervised deep learning by offloading se...

Mobile edge computing (MEC) has been envisaged as one of the most promising technologies in fifth generation (5G) mobile networks. It allows devices to offload their computation-demanding and latency-critical tasks resource-rich MEC servers. Accordingly, can significantly improve latency performance reduce energy consumption for devices. Nonetheless, privacy leakage may occur during task offloa...

Virtual reality (VR) is promising to fundamentally transform a broad spectrum of industry sectors and the way humans interact with virtual content. However, despite unprecedented progress, current networking computing infrastructures are incompetent unlock VR's full potential. In this paper, we consider delivering wireless multi-tile VR video service over mobile edge (MEC) network. The primary ...

In this work, an intelligent mobile edge computing (MEC) network is studied for Internet of Things (IoT) in the presence eavesdropping environments, where there are multiple users who can offload their confidential tasks to computational access point (CAP) assistance computation. One unmanned aerial vehicle (UAV) attacker exists system and it listen data transmission from CAP. We optimize desig...

In this paper we investigate the performance of output threshold maximum ratio combining (OT-MRC) and minimum estimation and combining generalized selection combining (MEC-GSC) scheme with dual branches over correlated Nakagami-m fading channels. The OT-MRC and MEC-GSC schemes select the minimum number of diversity branches such that their combined received signal-to-noise ratio (SNR) is above ...

abstract i n this paper we investigated total energy consumption and its individual forms (oil, natural gas, electricity, renewable energies and coal) relationship with real gross domestic product (gdp) in iran. we employed hsiao’s (1981) methodology and annual data which cover 1967-2010 for investigation. the empirical findings indicate there is bidirectional causality effect with real gdp and...

this paper investigates the relationship between total energy consumption and gdp in six countries of the middle east , including iran,pakistan,saudi arabia,oman,bahrain and the united arab emirates. the data are annual and spanning the period 1980-2012.we employed hsiao’s (1981) methodology to examine causality relation between total energy consumption and gdp.the empirical findings show a uni...

Exploring changes of building energy consumption and its relationships with climate can provide basis for energy-saving and carbon emission reduction. Heating and cooling energy consumption of different types of buildings during 1981-2010 in Tianjin city, was simulated by using TRNSYS software. Daily or hourly extreme energy consumption was determined by percentile methods, and the climate impa...