Integrated Sensing and Communications for Distributed Virtualized MIMO Networks
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Information Theory, Probability and Statistics".
Deadline for manuscript submissions: 30 September 2024 | Viewed by 36
Special Issue Editor
Interests: wireless communications; MU-MIMO; statistical signal processing; channel estimation and tracking; stochastic optimization
Special Issue Information
Dear Colleagues,
Integrated sensing and communication is crucial for future wireless communication networks. In this new paradigm, communication and sensing are integrated into dual-purpose devices that use specialized waveforms and hardware. This integration will enhance spectrum and hardware efficiency by combining sensing and communication at the same frequency.
A key challenge for the development of ISAC is the envisioned distributed cell-free MIMO architecture that wireless networks are evolving into. Future wireless networks will include numerous access points, forming ad hoc user-centric cell-free distributed MIMO (D-MIMO). Key features in the development of D-MIMU are the emergence of software-defined RAN, which decouples the control and data planes, and open RAN architecture, which leads to flexible deployment. Other notable developments are reconfigurable intelligent surfaces, which improve wireless throughput and reliability.
These developments require a deep theoretical understanding of ISAC distributed/cell-free MIMO and new signal-processing techniques that combine information theoretic considerations with other aspects, such as low complexity, distributed implementation, limited cooperation, and quality of service.
This Special Issue will accept unpublished, original papers and comprehensive reviews that focus on (but are not restricted to) the following research areas:
- The performance tradeoff of distributed sensing and communications in distributed and/or cell-free MIMO.
- Low-complexity distributed algorithms for multi-user MIMO that combine sensing with communication.
- Tracking and predictive beamforming in dynamic environments for improved sensing and communication performance.
- Improved waveforms for ISAC in distributed, cell-free MIMO networks.
- Integrating sensing and communications with Reconfigurable Intelligent Surfaces.
Dr. Yair Noam
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Entropy is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- integrated sensing and communication (ISAC)
- cell-free MIMO
- distributed MIMO
- information theory
- performance bounds
- Cloud Radio Access Network (C-RAN)
- throughput analysis
- target and channel tracking
- beamforming
- reconfigurable intelligent surfaces
