Hybrid Digital-Analog Networking under Extreme Energy and Latency Constraints

Summary:

The objective of the BEACON project is to (re-)introduce analog communications into the design of modern wireless networks. We argue that the extreme energy and latency constraints imposed by the emerging Internet of Everything (IoE) paradigm can only be met within a hybrid digital-analog communications framework. Current network architectures separate source and channel coding, orthogonalize users, and employ long block-length digital source and channel codes, which are either suboptimal or not applicable under the aforementioned constraints. BEACON questions these well-established design principles, and proposes to replace them with a hybrid digital-analog communications framework, which will meet the required energy and latency constraints while simplifying the encoding and decoding processes. BEACON pushes the performance of the IoE to its theoretical limits by i) exploiting signal correlations that are abundant in IoE applications, given the foreseen density of deployed sensing devices, ii) taking into account the limited and stochastic nature of energy availability due to, for example, energy harvesting capabilities, iii) using feedback resources to improve the end-to-end signal distortion, and iv) deriving novel converse results to identify fundamental performance benchmarks. The results of BEACON will not only shed light on the fundamental limits on the performance any coding scheme can achieve, but will also lead to the development of unconventional codes and communication protocols that can approach these limits, combining digital and analog communication techniques. The ultimate challenge for this project is to exploit the developed hybrid digital-analog networking theory for a complete overhaul of the physical layer design for emerging IoE applications, such as smart grids, tele-robotics and smart homes. For this purpose, a proof-of-concept implementation test-bed will also be built using software defined radios and sensor nodes.

Members:

Researcher (PI):

Deniz Gunduz

Research Associates:

Qianqian Yang

Mahdi Boloursaz Mashhadi

Research Assistants:

Mohammad Mohammadi Amiri

Sreejith Sreekumar

Past Members:

Eirina Bourtsoulatze

Nan Xie

Publications:

  1. Mahdi Boloursaz Mashhadi, Qianqian Yang, and Deniz Gunduz, , Oct 2019.
  2. Qianqian Yang, Mahdi Boloursaz Mashhadi, and Deniz Gunduz,, Jul 2019.
  3. D. Gunduz, P. de Kerret, N. Sidiroupoulos, D. Gesbert, C. Murthy, M. van der Schaar, , IEEE Journal on Selected Areas in Communications, 2019.
  4. Q. Yang, P. Hassanzadeh, D. Gündüz and E. Erkip, ‌, submitted, Apr. 2019.
  5. E. Ozfatura and D. Gunduz, ‌, submitted, Jan. 2019.
  6. Q. Yang, M. Mohammadi Amiri and D. Gunduz, ‌, IEEE Transactions on Communications, to appear.
  7. D. Cao, D. Zhang, P. Chen, N. Liu, W. Kang, and D. Gunduz, ‌, IEEE Transactions on Communications, to appear.
  8. T-Z. Tung and D. Gunduz, ‌, IEEE Communications Letters,  vol. 22, no. 12, pp. 2451-2454, Dec. 2018‌.
  9. B. Rassouli, M. Varasteh and D. Gunduz, ‌, Entropy, vol. 20, no. 9, Sep. 2018. ‌
  10. B. N. Bharath, K. G. Nagananda, D. Gunduz and H. V. Poor, Caching with time-varying popularity profiles: A learning-theoretic perspective, IEEE Transactions on Communications, vol. 66, no. 9, pp. 3837 - 3847, Sep. 2018.
  11. Y. Murin, Y. Kaspi, R. Dabora, and D. Gunduz,‌‌IEEE Trans. Information Theory,  vol. 63, no. 5, pp. 2737 - 2772, May 2017.
  12. M. Mohammadi Amiri and D. Gunduz, ‌, IEEE Trans. on Communications, vol. 65, no. 2, pp. 806-815, Feb. 2017.‌
  13. M. Mohammadi Amiri and D. Gunduz, , submitted, Jan. 2019.
  14. A. Elkordy, A. Motahari, M. Nafie, and D. Gunduz, ‌‌, submitted, Dec. 2018.
  15. M. Mohammadi Amiri and D. Gunduz, , revised, Oct. 2018.
  16. S. Sreekumar, A. Cohen and D. Gunduz, , submitted, Jul. 2018.
  17. M. Tao, D. Gunduz, X. Fan, and J. S. Pujol Roig, ‌, IEEE Transactions on Communications, to appear (invited paper).
  18. E. Bourtsoulatze, D. Burth Kurka and D. Gunduz, ‌‌, IEEE Transactions on Cognitive Communications and Networking, ‌‌to appear.
  19. B. Rassouli and D. Gunduz, ‌, IEEE Transactions on Information Forensics & Security, to appear.
  20. B. Guler, D. Gunduz and A. Yener, ‌, IEEE Transactions on Information Theory, vol. 64, no. 9, pp. 6081 - ‌‌6097, Sep. 2018.
  21. M. Mohammadi Amiri and D. Gunduz, ‌, IEEE Journal on Selected Areas in Communications, vol. 36, no. 8, pp. 1706 - 1720, Aug. 2018.‌‌
  22. S. O. Somuyiwa, A. Gyorgy and D. Gunduz, ‌, IEEE Journal on Selected Areas in Communications, vol. 36, no. 6, pp. 1331 - ‌1344, Jun. 2018.‌‌‌
  23. Q. Yang and D. Gunduz, ‌, IEEE Transactions on Information Theory, vol. 64, no. 6, pp. 4347 - 4364, Jun. 2018.‌
  24. M. S. H. Abad, O. Ercetin, and D. Gunduz, , IEEE Transactions on Green Communications and Networking, vol. 2, no. 1, pp. 114-126, Mar. 2018.
  25. E. Ozfatura and D. Gunduz, , IEEE Communications Letters, vol. 22, no. 2, pp. 288 - 291, Feb. 2018.
  26. M. Varasteh, B. Rassouli, O. Simeone, and D. Gunduz, ‌, IEEE Transactions on Information Theory, vol. 64, no. 2, pp. 1241 - 1261, Feb. 2018.
  27. M. Mohammadi Amiri and D. Gunduz, ‌, IEEE Transactions on Communications, vol. 66, no. 1, pp. 370 - 381, Jan. 2018.
  28. G. Giaconi, D. Gunduz, and H. V. Poor, ‌, IEEE Transactions on Information Forensics & Security, vol. 13, no. 1, pp. 129 - 142, Jan. 2018.
  29. M. Varasteh, B. Rassouli, O. Simeone, and D. Gunduz, ‌, IEEE Transactions on Communications, vol. 65, no. 12, pp. 5429 - 5444, Dec. 2017.
  30. M. Mohammadi Amiri, Q. Yang, and D. Gunduz, ‌, IEEE Transactions on Communicatoins, vol. 65, no. 11, pp. 4657 - 4669, Nov. 2017.‌‌
  31. Y. Murin, Y. Kaspi, R. Dabora, and D. Gunduz,‌‌Entropy, vol. 19, no. 6, Jun. 2017.
  32. E. Koken, E. Tuncel, and D. Gunduz, , IEEE Trans. Information Theory, vol. 63, no. 2, pp. 1227-1236, Feb. 2017.‌
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