Special Issue "Signal Processing for Next Generation Wireless Networks"
A special issue of Future Internet (ISSN 1999-5903).
Deadline for manuscript submissions: closed (20 April 2019)
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
Manuscript Submission Information
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