Integrated Communication, Localization, and Sensing in 6G D-MIMO Networks
Abstract: Future generations of mobile networks call for concurrent sensing and communication functionalities in the same hardware and/or spectrum. Compared to communication, sensing services often suffer from limited coverage, due to the high path loss of the reflected signal and the increased infrastructure requirements. To provide a more uniform quality of service, distributed multiple input multiple output (D-MIMO) systems deploy a large number of distributed nodes and efficiently control them, making distributed integrated sensing and communications (ISAC) possible. In this paper, we investigate ISAC in D-MIMO through the lens of different design architectures and deployments, revealing both conflicts and synergies. In addition, simulation and demonstration results reveal both opportunities and challenges towards the implementation of ISAC in D-MIMO.
- H. Q. Ngo et al., “Cell-free massive MIMO versus small cells,” IEEE Trans. Wireless Commun., vol. 16, no. 3, pp. 1834–1850, Mar. 2017.
- O. Haliloglu et al., “Distributed MIMO systems for 6G,” in Proc. EuCNC/6G Summit, Gothenburg, Sweden, 2023.
- H. Guo et al., “High-rate uninterrupted internet-of-vehicle communications in highways: Dynamic blockage avoidance and CSIT acquisition,” IEEE Commun. Mag., vol. 60, no. 7, pp. 44–50, Jul. 2022.
- E. Björnson et al., “Scalable cell-free massive MIMO systems,” IEEE Trans. Commun., vol. 68, no. 7, pp. 4247–4261, Jul. 2020.
- U. Demirhan et al., “Cell-free ISAC MIMO systems: Joint sensing and communication beamforming,” Feb. 2024, [Online]. Available: https://arxiv.org/pdf/2301.11328.pdf.
- Z. Behdad et al., “Power allocation for joint communication and sensing in cell-free massive MIMO,” in Proc. IEEE GLOBECOM, Rio de Janeiro, Brazil, 2022, pp. 4081–4086.
- M. F. Keskin et al., “Localization with distributed MIMO using a high-speed sigma-delta-over-fiber testbed,” IEEE Microw. Wireless Compon. Lett., vol. 32, no. 7, pp. 923–926, Jul. 2022.
- G. Interdonato et al., “Ubiquitous cell-free Massive MIMO communications,” EURASIP J. Wirel. Commun. Netw., vol. 197, Aug. 2019.
- C. Madapatha et al., “On integrated access and backhaul networks: Current status and potentials,” IEEE Open J. Commun. Soc., vol. 1, pp. 1374–1389, Sept. 2020.
- Ö. Özdogan et al., “Massive MIMO with spatially correlated Rician fading channels,” IEEE Trans. Commun., vol. 67, no. 5, pp. 3234–3250, May 2019.
- D. Löschenbrand et al., “Towards cell-free massive MIMO: A measurement-based analysis,” IEEE Access, vol. 10, pp. 89 232–89 247, Aug. 2022.
- K. Ji et al., “Networking based ISAC hardware testbed and performance evaluation,” IEEE Commun. Mag., vol. 61, no. 5, pp. 76–82, May 2023.
- C. Nelson et al., “Distributed MIMO measurements for integrated communication and sensing in an industrial environment,” Mar. 2024. [Online]. Available: https://arxiv.org/pdf/2403.02430.pdf
- G. Callebaut et al., “Techtile–Open 6G R&D testbed for communication, positioning, sensing, WPT and federated learning,” in Proc. EuCNC/6G Summit, Grenoble, France, 2022.
- C. S. Ibrahim et al., “All-digital, radio-over-fiber, communication link architecture for time-division duplex distributed antenna system,” J. Lightw. Technol., vol. 39, no. 9, pp. 2769–2779, Feb. 2021.
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