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Latest News || 7 October 2026: Quiz and Pizza Night — Titanic Crew placed fourth. || 3 October 2026: Serving as a Student Ambassador at Queen's University Belfast, welcoming prospective students and visitors and supporting EEECS tours and event activities. || 9 September 2026: Published at AP-S/URSI 2026: “Near Field-Aware UE Localization in RIS-Aided Wireless Networks Through ML-Regressor.” || 25 August 2026: Poster presentation at UCMMT 2026 in Birmingham — “Experimental Validation of Localisation in RIS-Assisted mmWave Networks.” || 18 August 2026: Published at EuCAP 2026: “Impact of RIS Size on Machine Learning-Enabled Beam Sweeping for User Localization.”
Tarek Hassan
Knowledge Hubris assisted isac system5. Scopes and Future Challenges

ris assisted isac system learning note

5. Scopes and Future Challenges

Open research directions for RIS-assisted ISAC, from channel estimation and beamforming to privacy, hardware, standardization, and real-world deployment.

Why the Future Scope is Large

RIS-assisted ISAC sits at the intersection of propagation control, radar sensing, communication theory, optimization, and AI. It is promising, but it is also technically difficult.

References for this section3

Open Problem 1: Channel and Target Estimation

The system must estimate communication channels and sensing parameters. With RIS, the cascaded channel becomes harder:

BS -> RIS -> user
BS -> RIS -> target -> receiver

The RIS may be passive, so it cannot easily measure the channel itself.

References for this section3

Open Problem 2: Joint Beamforming

The BS beam and RIS phase pattern must satisfy both:

  • User quality-of-service constraints.
  • Sensing SINR or estimation accuracy constraints.

This usually creates a nonconvex optimization problem.

References for this section3

Open Problem 3: Hardware Realism

Future papers need to move beyond ideal RIS assumptions:

  • Quantized phases.
  • Element coupling.
  • Lossy reflection.
  • Phase-dependent amplitude.
  • Active RIS noise.
  • Finite bandwidth.
  • Calibration errors.
References for this section3

Open Problem 4: Mobility

RIS configuration can become outdated quickly when users or targets move. Future systems need fast sensing-assisted updates and low-overhead control protocols.

References for this section3

Open Problem 5: Privacy and Security

ISAC can sense people and objects. RIS can extend sensing into areas that are otherwise blocked. This creates privacy questions:

  • Who owns sensing data?
  • Can users opt out?
  • How is raw echo data protected?
  • Can RIS be attacked or misconfigured?
References for this section3

Open Problem 6: Standardization

Real RIS-assisted ISAC requires standardized interfaces for:

  • RIS control.
  • Channel reporting.
  • Sensing reporting.
  • Calibration.
  • Synchronization.
  • Security.
References for this section3

Future Research Directions

  • Active RIS-aided ISAC.
  • STAR-RIS-aided ISAC.
  • Multi-RIS cooperative sensing.
  • Near-field RIS-ISAC localization.
  • RIS-assisted NLoS target detection.
  • Federated learning for privacy-preserving ISAC.
  • Digital twins for deployment and control.
  • Prototype-based measurement campaigns.
References for this section3

Takeaway

RIS-assisted ISAC is one of the richest 6G research topics because it combines controllable propagation with environment-aware networks. The best future work will be hardware-aware, measurement-backed, privacy-conscious, and connected to real deployment scenarios.

References for this section3

Complete references and further reading