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Future Internet, Volume 14, Issue 9

September 2022 - 25 articles

Cover Story: Here, reinforcement learning (RL) is proposed in an IRS-assisted D2D underlay cellular network where D2D pairs opportunistically use a licensed cellular spectrum. The objective is to maximize network spectrum efficiency by jointly optimizing the resource reuse indicators, the transmit power of both cellular and D2D users, and the IRS reflection coefficients. This is carried out under strict SINR constraints to ensure the QoS for both cellular and D2D links is met. The RL approach proves efficient to solve this mixed integer non-convex nonlinear optimization problem. A scalable deep Q-learning solution with experience replay and an A2C-based deep deterministic policy gradient (DDPG) are proposed to learn the optimal policy. Simulation outcomes reveal significant sum rate enhancement. View this paper
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Articles (25)

  • Article
  • Open Access
24 Citations
4,066 Views
17 Pages

Low Power Blockchained E-Vote Platform for University Environment

  • Faten Chaabane,
  • Jalel Ktari,
  • Tarek Frikha and
  • Habib Hamam

19 September 2022

With the onset of the COVID-19 pandemic and the succession of its waves, the transmission of this disease and the number of deaths caused by it have been increasing. Despite the various vaccines, the COVID-19 virus is still contagious and dangerous f...

  • Article
  • Open Access
4 Citations
2,886 Views
18 Pages

17 September 2022

Video streaming solutions have increased their importance in the last decade, enabling video on demand (VoD) services. Among several innovative services, 5G and Beyond 5G (B5G) systems consider the possibility of providing VoD-based solutions for sur...

  • Article
  • Open Access
6 Citations
3,072 Views
21 Pages

An Efficient Blockchain Transaction Retrieval System

  • Hangwei Feng,
  • Jinlin Wang and
  • Yang Li

15 September 2022

In the era of the digital economy, blockchain has developed well in various fields, such as finance and digital copyright, due to its unique decentralization and traceability characteristics. However, blockchain gradually exposes the storage problem,...

  • Article
  • Open Access
9 Citations
2,903 Views
18 Pages

15 September 2022

This research was aimed at designing an image recognition system that can help increase children’s interest in learning natural numbers between 0 and 9. The research method used was qualitative descriptive, observing early childhood learning in...

  • Review
  • Open Access
26 Citations
8,424 Views
30 Pages

Approaches and Challenges in Internet of Robotic Things

  • Aqsa Sayeed,
  • Chaman Verma,
  • Neerendra Kumar,
  • Neha Koul and
  • Zoltán Illés

14 September 2022

The Internet of robotic things (IoRT) is the combination of different technologies including cloud computing, robots, Internet of things (IoT), artificial intelligence (AI), and machine learning (ML). IoRT plays a major role in manufacturing, healthc...

  • Article
  • Open Access
22 Citations
7,583 Views
27 Pages

A VPN Performances Analysis of Constrained Hardware Open Source Infrastructure Deploy in IoT Environment

  • Antonio Francesco Gentile,
  • Davide Macrì,
  • Floriano De Rango,
  • Mauro Tropea and
  • Emilio Greco

13 September 2022

Virtual private network (VPN) represents an HW/SW infrastructure that implements private and confidential communication channels that usually travel through the Internet. VPN is currently one of the most reliable technologies to achieve this goal, al...

  • Article
  • Open Access
6 Citations
2,109 Views
15 Pages

Trade-offs between Risk and Operational Cost in SDN Failure Recovery Plan

  • Saeed A. Astaneh,
  • Shahram Shah Heydari,
  • Sara Taghavi Motlagh and
  • Alireza Izaddoost

13 September 2022

We consider the problem of SDN flow optimization in the presence of a dynamic probabilistic link failures model. We introduce a metric for path risk, which can change dynamically as network conditions and failure probabilities change. As these probab...

  • Article
  • Open Access
5 Citations
3,159 Views
18 Pages

Retrieving Adversarial Cliques in Cognitive Communities: A New Conceptual Framework for Scientific Knowledge Graphs

  • Renaud Fabre,
  • Otmane Azeroual,
  • Patrice Bellot,
  • Joachim Schöpfel and
  • Daniel Egret

7 September 2022

The variety and diversity of published content are currently expanding in all fields of scholarly communication. Yet, scientific knowledge graphs (SKG) provide only poor images of the varied directions of alternative scientific choices, and in partic...

  • Article
  • Open Access
1 Citations
2,709 Views
12 Pages

31 August 2022

Aiming at the resource allocation problem of a non-orthogonal multiple access (NOMA) system, a fairness index based on sample variance of users’ transmission rates is proposed, which has a fixed range and high sensitivity. Based on the proposed...

  • Article
  • Open Access
20 Citations
3,528 Views
15 Pages

Use of Data Augmentation Techniques in Detection of Antisocial Behavior Using Deep Learning Methods

  • Viera Maslej-Krešňáková,
  • Martin Sarnovský and
  • Júlia Jacková

31 August 2022

The work presented in this paper focuses on the use of data augmentation techniques applied in the domain of the detection of antisocial behavior. Data augmentation is a frequently used approach to overcome issues related to the lack of data or probl...

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Future Internet - ISSN 1999-5903