Anas Chaaban

Associate Professor

Electrical, School of Engineering
Office: EME 3215
Phone: 250.807.9112
Email: anas.chaaban@ubc.ca

Graduate student supervisor


Research Summary

Network Information Theory; Interference Mitigation; Wireless Communications; Optical Wireless Communications; Coding Theory

Courses & Teaching

ENGR 562 Information Theory (2019);
ENGR 463 Communication Networks (2018-2020 Term 1);
ENGR 418/518 Applied Machine Learning for Engineers (2020 Term 1);
APSC 177 Engineering Computation and Instrumentation (2017-2020 Term 2);
APSC 173 Engineering Analysis II (2018-2019 Term 2)

Biography

Anas Chaaban is an assistant professor at the Okanagan campus of the University of British Columbia.  He received his PhD in 2013 from the Ruhr-University of Bochum in Germany for his research on Relaying for Interference Management in the area of Network Information Theory. He was a postdoctoral fellow with the Ruhr-University of Bochum from 2013 till 2014, and with King Abdullah University of Science and Technology from 2015 till 2017.

His research focus is on information theory and communication theory with applications in cellular networks, optical wireless communications, sensor networks, and related applications.

Websites

Communication Theory Lab

Degrees

Post-Doctoral Fellowship - King Abdullah University of Science & Technology
Post-Doctoral Fellowship - Ruhr-University of Bochum
PhD – (electrical engineering & information technology) Ruhr-University of Bochum
MASc – (communications technology program - electrical engineering & computer science) Ulm University
BASc – Lebanese University

Research Interests & Projects

Network Information Theory:

The fundamental limits of information transmission over a network is measured by the capacity region of the network. Capacity characterization of networks is often cumbersome, and insightful capacity approximations might be sought for instead. We focus on deriving capacity approximations for networks involving multiple transmitters, receivers, and/or relay nodes, with multi-way communication and full-duplex capabilities. This line of research is useful for understanding the performance of future communication systems including heterogeneous networks, device-to-device communications, and internet-of-things.

Optical Wireless Communications:

Optical wireless communications (OWC) encompasses outdoor free-space optical communications, indoor visible-light communication, in addition to non-line-of-sight ultra-violet communication and underwater optical wireless communication. Studying the theoretical fundamentals of OWC is important to understand its capabilities and limitations. This line of research aims to develop theoretical results on information-theoretic as well as communication-theoretic aspects of OWC, such as capacity and bit-error rate performance.

On the practical front, the aim is to develop, test, and optimize practical OWC schemes in an experimental environment, for various applications. The schemes have to satisfy some performance requirements in terms of bit-error rate and data rate, and be able to provide the desired performance under practical operation limitations. Various transmitters devices and receiver devices (or arrays thereof) will be used, and theoretical results will be put to the test.

Intelligent Reflecting Surfaces:

Passive reflectors can be used to induce controlled phase shifts in an impinging electromagnetic wave, leading to a more desirable propagation environment. Such Intelligent Reflecting Surfaces (IRS) can be used to harness massive-MIMO-like gains without using an excessive number of transmit antennas at a base-station. This research aims to develop new techniques for achieving the maximum gain from IRS in various applications in wireless communications, with application to future generations of cellular communication networks.

Selected Publications & Presentations

Selected Publications: (Complete list here)

  • C. Gaudreau, A. Chaaban, “Localization by Modulated Reconfigurable Intelligent Surfaces,” IEEE Commun. Letters, vol. 26, no. 12, pp. 2904 – 2908, Dec. 2022.
  • M. Hasabelnaby, A. Chaaban, “Multi-Pair Computation for C-RAN with Inter-Cloud and Intra-Cloud Communications,” IEEE Wireless Commun. Letters, vol. 11, no. 12, pp. 2537 – 2541, Dec. 2022.
  • A. Zayat, M. Obeed, A. Chaaban, “Diversion Detection in Small-Diameter HDPE Pipes Using Guided Waves and Deep Learning,” Sensors, vol. 22, no. 24, p. 9586, Dec. 2022.
  • H. Alwazani, A. Chaaban, “IRS-Enabled Ultra-Low-Power Wireless Sensor Networks: Scheduling and Transmission Schemes,” Sensors, vol. 22, no. 23, p. 9229, Nov. 2022.
  • M. Obeed, A. Chaaban, “Joint Beamforming Design for Multiuser MISO Downlink Aided by a Reconfigurable Intelligent Surfaces and a Relay,” IEEE Trans. Wireless Commun., vol. 21, no. 10, pp. 8216 – 8229, Oct. 2022. (arXiv)
  • Z. Zhang, A. Chaaban, “Capacity Bounds for the Two-User IM/DD Interference Channel,” IEEE Trans. Commun., vol. 70, no. 9, pp. 5960-5974, Sep. 2022.
  • Q. Nadeem, A. Zappone, A. Chaaban, “Achievable Rate Analysis and Max-Min SINR Optimization in Intelligent Reflecting Surface Assisted Cell-Free MIMO Uplink,” IEEE Open J. Commun. Soc., vol. 3, pp. 1295 – 1322, Aug. 2022.
  • M. Hasabelnaby, A. Chaaban, “Multi-Pair Computation for Two-Way Intra Cloud Radio-Access Network Communications,” IEEE Trans. Wireless Commun., vol. 21, no. 7, pp. 5586-5599, July 2022.
  • S. Rahman, C. Feng, A. Chaaban, “A Simplified Approach to Achieving the Capacity of the AWGN Channel with Erasures Using Nested Lattice Codes,” IEEE Commun. Lett., vol. 26, no. 3, pp. 509-512, March 2022.
  • A. Chaaban, Z. Rezki, M.-S. Alouini, “On the Capacity of Intensity-Modulation Direct-Detection Gaussian Optical Wireless Communication Channels: A Tutorial,” IEEE Commun. Surveys and Tutorials, IEEE Communications Surveys & Tutorials, vol. 24, no. 1, pp. 455 – 491, Firstquarter 2022.
  • O. M. Bushnaq, A. Chaaban, T. Y. Al-Naffouri, “The Role of UAV-IoT Networks in Future Wildfire Detection,” IEEE Internet of Things Journal, vol. 8, no. 23, pp. 16984-16999, Dec. 2021.
  • Q. Nadeem, A. Zappone, A. Chaaban, “Intelligent Reflecting Surface Enabled Random Rotations Scheme for the MISO Broadcast Channel,” IEEE Transactions on Wireless Communications, vol. 20, no. 8, pp. 5226-5242, Aug. 2021.
  • L. Qian, X. Chi, L. Zhao, M. Obeed, A. Chaaban, “User-Centric Secure Cell Formation for Visible Light Networks with Statistical Delay Guarantees,” IEEE Transactions on Wireless Communications, vol. 20,  no. 3, pp. 1831-1846, March 2021.
  • Q. Nadeem, A. Chaaban, M. Debbah, “Opportunistic Beamforming using an Intelligent Reflecting Surface Without Instantaneous CSI,” IEEE Wireless Communications Letters, vol. 10, no. 1, pp. 146-150, Jan 2021.
  • A. Celik, A. Chaaban, B. Shihada, M.-S. Alouini, “Topology Optimization for 6G Networks: A Network Information-Theoretic Approach,” IEEE Vehicular Technology Magazine, vol. 15, no. 4, pp. 83 – 92, Dec. 2020.
  • Q. Nadeem, A. Kammoun, A. Chaaban, M. Debbah, M.-S. Alouini, “Asymptotic Max-Min SINR Analysis of Reconfigurable Intelligent Surface Assisted MISO Systems,” IEEE Trans. Wireless Commun., vol. 19, no. 12, pp. 7748-7764, Dec. 2020.
  • Z. Zhang, A. Chaaban, M.-S. Alouini, “Residual Clipping Noise in Multi-layer Optical OFDM: Modeling, Analysis, and Applications,” IEEE Trans. Wireless Commun., vol. 19, no. 9, pp. 5846-5859, Sep. 2020.
  • Q. Nadeem, H. Alwazani, A. Kammoun, A. Chaaban, M. Debbah, M.-S. Alouini, “Intelligent Reflecting Surface Assisted Multi-User MISO Communication: Channel Estimation and Beamforming Design,” IEEE Open J. Commun. Soc., vol. 1, pp. 661 – 680, May 2020.
  • A. Chaaban, S. Hranilovic, “Capacity of Optical Wireless Communication Channels,” Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, Issue on The cross-disciplinary challenges towards mobile optical wireless networks, vol. 378, no. 2169, pp. 20190184, Mar. 2020 (invited).
  • Z. Zhang, A. Chaaban, L. Lampe, “Physical Layer Security of Light Fidelity Systems,” Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, Issue on The cross-disciplinary challenges towards mobile optical wireless networks, vol. 378, no. 2169, pp. 20190193, Mar. 2020 (invited).
  • A. Abdelhady, O. Amin, A. Chaaban, B. Shihada, M.-S. Alouini, “Spectral-Efficiency – Illumination Pareto Front for Energy Harvesting Enabled VLC Systems,” IEEE Trans. Commun., vo. 67, no. 12, pp. 8557-8572, Dec. 2019.
  • J. V. C. Evangelista, Z. Sattar, G. Kaddoum, A. Chaaban, “Fairness and Sum-Rate Maximization via Joint Subcarrier and Power Allocation in Uplink SCMA Transmission,” IEEE Trans. Wireless Commun., vol. 18, no. 12, pp. 5855-5867, Dec. 2019.
  • J. Neu, A. Chaaban, A. Sezgin, M.-S. Alouini, “Degrees-of-Freedom of the MIMO Three-Way Channel with Node-Intermittency,” IEEE Trans. Inf. Theory, vol. 65, no. 10, pp. 6781-6800, Oct. 2019.
  • A. Chaaban, Z. Rezki, M. S. Alouini, “Fundamental Limits of Parallel Optical Wireless Channels: Capacity Results and Outage Formulation,” IEEE Trans. Commun., vol. 65, no. 1, pp. 296–311, Jan. 2017 (invited).
  •  S. Gherekhloo, A. Chaaban, A. Sezgin, “Expanded GDoF-optimality Regime of Treating Interference as Noise in the M × 2 X-Channel,” IEEE Trans. Inf. Theory, vol. 63, no. 1, pp. 355–376, Jan. 2017.
  • S. Gherekhloo, A. Chaaban, A. Sezgin, “Cooperation for interference management: A GDoF perspective,” IEEE Trans. Inf. Theory, vol. 62, no. 12, pp. 6986–7029, Dec. 2016.
  • A. Chaaban, H. Maier, A. Sezgin, R. Mathar, “Three-Way Channels with Multiple Unicast Sessions: Capacity Approximation via Network Transformation,” IEEE Trans. Inf. Theory, vol. 62, no. 12, pp. 7086–7102, Dec. 2016.
  • A. Chaaban, A. Sezgin, “The Approximate Capacity Region of the Symmetric K-user Gaussian Interference Channel with Strong Interference,” IEEE Trans. Inf. Theory, vol. 62, no. 5, pp. 2592–2621, May 2016.
  • A. Chaaban, J. M. Morvan, M. S. Alouini, “Free-Space Optical Communications: Capacity Bounds, Approximations, and a New Sphere-Packing Perspective,” IEEE Trans. Commun., vol. 64, no. 3, pp. 1176–1191, March 2016.
  • A. Chaaban, A. Sezgin, “The Approximate Capacity Region of the Gaussian Y-Channel via the Deterministic Approach,” IEEE Trans. Inf. Theory, vol. 61, no. 2, pp. 939–962, Jan. 2015.
  • A. Chaaban, V. Sidorenko, C. Senger, “On Multi-trial Forney-Kovalev Decoding of Concatenated Codes,” Advances in Mathematics of Communications (AMC), vol. 8, no. 1, pp. 1–20, Feb. 2014.

Selected Grants & Awards

  • UBCO Thank a Prof. Award 2020, 2022
  • 2nd place winner for the North American Region in the ComSoc Internet for All competition 2022
  • Canadian Society of Information Theory paper award 2019
  • Best paper award at ICCSPA 2015
  • Best poster award at the IEEE CTW 2011

Professional Services/Affiliations/Committees

  1. IEEE: Senior member
  2. IEEE Communications Society, Information Theory Society, and Vehicular Technology Society: Member
  3. Canadian Information Theory Society: Member 2019, Secretary 2022
  4. IEEE Transactions on Communications 2018/2024: Editor
  5. Frontiers on Communications and Networking 2020/21: Associate Editor
  6. IEEE Communication Theory Workshop 2020/21: Financial Chair
  7. North American School of Information Theory 2021: Treasurer

Media

  • Paper “Diversion Detection in Small-Diameter HDPE Pipes Using Guided Waves and Deep Learning,” selected for the cover of Sensors
    • Media releases here and here
    • Sponsored by Fortis BC and MITACS
  • Paper “The Role of UAV-IoT Networks in Future Wildfire Detection” was highlighted in a story in IEEE Spectrum here
  • Papers “Intelligent Reflecting Surface Assisted Multi-User MISO Communication: Channel Estimation and Beamforming Design”  and “Asymptotic Max-Min SINR Analysis of Reconfigurable Intelligent Surface Assisted MISO Systems” were selected in the IEEE Communications Society “Best Readings in Reconfigurable Intelligent Surfaces” and were among the top 50 most popular papers in their respective transactions for several months in 2020-2022.
  • Paper “Topology Optimization for 6G Networks: A Network Information-Theoretic Approach,” was among the top 50 most popular papers in the IEEE Vehicular Technology Magazine in Nov 2020 – Feb 2021.

 

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