Signal Processing for Next Generation Wireless Networks

A special issue of Future Internet (ISSN 1999-5903).

Deadline for manuscript submissions: closed (20 April 2019) | Viewed by 78558

Special Issue Editor


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Department of Electrical Engineering, University of North Dakota, Grand Forks, ND 58202-7165, USA
Interests: wireless communication and networking; cybersecurity; sensing; signal/image processing; smart systems
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Special Issue Information

Dear Colleagues,

In the fifth generation (5G) of wireless networks, billions of wireless devices and networks are expected to access the internet with demand for high data speed to convey reliable services from a multitude of networks.

Signal processing is a highly promising technology, which has the potential to address the challenges facing future communication systems. Signal processing systems can be considered as highly powerful yet cost-effective technology because of the advanced digital semiconductor technologies. The continuous advances in the digital signal processing means that the cost and power per DSP function are progressively decreasing with time. Similarly, the complexity of signal processing algorithms is also gradually increasing over time.

DSP has received a great deal of attention from researchers in the recent years, and still it is an ongoing area of research. Researchers in both academia and industry are addressing the challenges of real-time signal processing implementation for  applications such as high-speed communications of terabits per second and beyond, personalized health monitoring and assistance, dynamic-data-enabled autonomous systems through real-time sensing and learning, sensing for the Internet of Things, secured wireless connectivity, processing speech, and vision, and monitoring critical infrastructure especially the power grid, energy-aware signal processing.

The goal of this Special Issue is to present a collection of exciting papers, reporting the most recent advances in digital signal processing techniques for application in future communications. Example topics of interest are the application of DSP in areas, but are not limited to:

  • Wireless, optical, and hybrid communications and networking
  • Full-duplex, massive MIMO, mm-wave, and THz communications
  • Spectrum access and sharing
  • Integrated sensing, communication, and computational systems
  • Spectrum sensing
  • Wideband compressive sensing
  • Machine learning
  • Deep learning
  • Cyber-physical systems and hardware-controlled secured communications
  • Dynamic-data-enabled communication systems through sensing and machine learning
  • Quantum communication systems
  • Signal and pattern extraction from massive spatiotemporal data
  • Signal processing for new applications enabled by fat data pipes—virtual reality, telepresence, enhanced reality, etc.

Dr. Naima Kaabouch
Guest Editor

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Published Papers (2 papers)

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20 pages, 606 KiB  
Article
Scheduling for Multi-User Multi-Input Multi-Output Wireless Networks with Priorities and Deadlines
by Li-on Raviv and Amir Leshem
Future Internet 2019, 11(8), 172; https://doi.org/10.3390/fi11080172 - 5 Aug 2019
Cited by 4 | Viewed by 3480
Abstract
The spectral efficiency of wireless networks can be significantly improved by exploiting spatial multiplexing techniques known as multi-user MIMO. These techniques enable the allocation of multiple users to the same time-frequency block, thus reducing the interference between users. There is ample evidence that [...] Read more.
The spectral efficiency of wireless networks can be significantly improved by exploiting spatial multiplexing techniques known as multi-user MIMO. These techniques enable the allocation of multiple users to the same time-frequency block, thus reducing the interference between users. There is ample evidence that user groupings can have a significant impact on the performance of spatial multiplexing. The situation is even more complex when the data packets have priority and deadlines for delivery. Hence, combining packet queue management and beamforming would considerably enhance the overall system performance. In this paper, we propose a combination of beamforming and scheduling to improve the overall performance of multi-user MIMO systems in realistic conditions where data packets have both priority and deadlines beyond which they become obsolete. This method dubbed Reward Per Second (RPS), combines advanced matrix factorization at the physical layer with recently-developed queue management techniques. We demonstrate the merits of the this technique compared to other state-of-the-art scheduling methods through simulations. Full article
(This article belongs to the Special Issue Signal Processing for Next Generation Wireless Networks)
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17 pages, 981 KiB  
Review
Social Engineering Attacks: A Survey
by Fatima Salahdine and Naima Kaabouch
Future Internet 2019, 11(4), 89; https://doi.org/10.3390/fi11040089 - 2 Apr 2019
Cited by 297 | Viewed by 73233
Abstract
The advancements in digital communication technology have made communication between humans more accessible and instant. However, personal and sensitive information may be available online through social networks and online services that lack the security measures to protect this information. Communication systems are vulnerable [...] Read more.
The advancements in digital communication technology have made communication between humans more accessible and instant. However, personal and sensitive information may be available online through social networks and online services that lack the security measures to protect this information. Communication systems are vulnerable and can easily be penetrated by malicious users through social engineering attacks. These attacks aim at tricking individuals or enterprises into accomplishing actions that benefit attackers or providing them with sensitive data such as social security number, health records, and passwords. Social engineering is one of the biggest challenges facing network security because it exploits the natural human tendency to trust. This paper provides an in-depth survey about the social engineering attacks, their classifications, detection strategies, and prevention procedures. Full article
(This article belongs to the Special Issue Signal Processing for Next Generation Wireless Networks)
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