Journal ArticleDOI
Tactile Internet for Smart Communities in 5G: An Insight for NOMA-Based Solutions
TLDR
This paper discusses the application-specific nonorthogonal multiple access (NOMA)-based communication architecture for Tactile Internet which allows nonorthogsonal resource sharing from a pool of eMBB, mMTC, cMTC, and URLLC devices to a shared base station.Abstract:
In the last few years, there has been an exponential increase in the deployment of 5G-based test beds across the globe with an aim to reduce the latency for accessing various applications. The integration of generic services such as enhanced mobile broadband (eMBB), massive machine-type communications (mMTC), critical machine-type communication (cMTC), and ultra-reliable low-latency communications (URLLC) can improve the performance of 5G-based applications. This service heterogeneity can be achieved by network slicing for an optimized resource allocation and an emerging technology, Tactile Internet, to achieve low latency, high bandwidth, service availability, and end-to-end security. In this paper, we discuss the application-specific nonorthogonal multiple access (NOMA)-based communication architecture for Tactile Internet which allows nonorthogonal resource sharing from a pool of eMBB, mMTC, cMTC, and URLLC devices to a shared base station. We summarize various variants of NOMA and their suitability for future low latency Tactile-Internet-based applications.read more
Citations
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Journal ArticleDOI
Deep reinforcement learning based trajectory optimization for magnetometer-mounted UAV to landmine detection
Ahmed Barnawi,Neeraj Kumar,Ishan Budhiraja,K. Kumar,Amal Abdullah AlMansour,Bander Al-Zahrani +5 more
TL;DR: In this article , a UAV-Magnetometer-Landmine detection system was proposed to reduce the total energy consumption of the UAV and landmine detection using deep reinforcement learning (DRL) based deep deterministic policy gradient.
Journal ArticleDOI
An Energy Efficient Scheme for WPCN-NOMA Based Device-to-Device Communication
TL;DR: Simulation results demonstrate that by maximizing the EE and optimizing the time and transmission power of D2D groups, the energy efficiency of the network can be significantly improved in comparison to the other competitive schemes in the existing literature.
Book ChapterDOI
Adversarial Artificial Intelligence Assistance for Secure 5G-Enabled IoT
TL;DR: In this article, an overview of adversarial AI techniques for IoT-enabled 5G network for classifying and detecting the threats automatically and securing transactions using blockchain are discussed, where the major concern is security of data which cannot be compromised at all.
Posted Content
RAN Slicing in a UAV Network for eMBB Service Provision.
TL;DR: A framework that needs to repeatedly and separately enforce network slicing and optimize RAN resource allocation for mitigating it by exploring the Lyapunov optimization is proposed and can achieve significant performance gains as compared with other benchmark algorithms.
Book ChapterDOI
Highly Isolated Self-Multiplexing 5G Antenna for IoT Applications
TL;DR: In this paper, a SIW-based self-multiplexed antenna design integrated with decoupling network working over 5G is proposed to overcome the problem of portability for the communication systems.
References
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Journal ArticleDOI
The Tactile Internet: Applications and Challenges
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Journal ArticleDOI
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Journal ArticleDOI
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Journal ArticleDOI
5G Wireless Network Slicing for eMBB, URLLC, and mMTC: A Communication-Theoretic View
TL;DR: In this paper, the authors study the potential advantages of allowing for non-orthogonal sharing of RAN resources in uplink communications from a set of eMBB, mMTC, and URLLC devices to a common base station.