FeelMaTyC (Feedback-less Machine-Type Communication)
Final Report Abstract
In this work, we have considered machine-type communications MTC as our application framework. Though, our results can easily be invoked in other wireless communications settings as well, such as Wi-Fi, Bluetooth, massive Multiple-Input and Multiple-Output (MIMO), and millimeter-wave communications because our theoretical and technical frameworks, and results are well-rounded and suitable for different use-cases in a general class of wireless communications scenarios. Specifically, we have focused our attention on the MAC and PHY problems caused by asynchronous transmissions and packet collisions in the air. Taking into account the pace of digitalization in our daily lives and the need for ubiquitous connectivity for business and personal purposes, we can say that our research will contribute to the advances in wireless communications since the aforementioned problems will be more persistent obstacles in system design and characterization in communications technologies due to the limited availability of resources. One of the critical metrics especially in asynchronous wireless communications is the decoding performance. Therefore, mitigating the impacts of channel impairments and packet collisions beforehand will ease the technical difficulties in network layer system improvements. Hence, we have established our work on decoding performance on two independent posts, one in the physical layer and the other in the MAC layer. We have investigated the possible use of SIC in order to retrieve erroneously received communication bits in the physical layer and shown that SIC has a significant potential to take place in future technologies. Additionally, regarding packet collisions, we have introduced a MAC protocol in which transmitters spread their messages over time, and receivers take advantage of this spreading in order to separate colliding packets and increase decoding performance. Principally, we have hammered out prompt tools for someone to easily enact communication devices. It is worth mentioning that we embroidered our research by invoking different concepts and techniques. For instance, we regarded energy harvesting transmitters that could easily be implemented in machine-type communications in order to be green, and we have identified a methodology that yields quick solutions to performance optimization when both energy resources and data transmissions are stochastic. Additionally, we have invoked machine learning in receiver design such that conventional block-by-block implementations in the physical layer are wrapped up in one block leading to simplified receiver design and decoding performance getting closer to the theoretical limits drawn by the maximum likelihood decoder, which is known to be the optimal decoding strategy when the encoding vectors at a transmitter are equally likely. All in all, our work brings forth several templates that engineers, researchers and system designers can utilize when forming the basics of future communication technologies.
Publications
- “Energy management in wireless communications with energy storage imperfections,” in 30th International Teletraffic Congress (ITC 30), vol. 2. IEEE, 2018, pp. 13–18
S. Akın
(See online at https://doi.org/10.1109/ITC30.2018.10055) - “Hybrid RF/LC Systems under QoS Constraints,” in 25th International Conference on Telecommunications (ICT), 2018, pp. 312–318
M. Hammouda, S. Akın, A. M. Vegni, H. Haas, and J. Peissig
(See online at https://doi.org/10.1109/ICT.2018.8464895) - “Bit Error Probability for Asynchronous Channel Access in Feedback-Less MFC with Scattered Pilot-Based FBMC- OQAM,” in International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), 2019, pp. 155–160
M. Penner, M. Fuhrwerk, and J. Peissig
(See online at https://doi.org/10.1109/WiMOB.2019.8923330) - “Bit Error Probability for Asynchronous Channel Access in Feedback-Less MTC with FBMC-OQAM,” in 16th International Symposium on Wireless Communication Systems (ISWCS), 2019, pp. 522–526
M. Penner, M. Fuhrwerk, and J. Peissig
(See online at https://doi.org/10.1109/ISWCS.2019.8877183) - “Multi-Access Spreading over Time: MAST,” in Proceedings of the 22nd International ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, 2019, pp. 261–270
S. Akın and M. Fidler
(See online at https://doi.org/10.1145/3345768.3355927) - “On the Energy and Data Storage Management in Energy Harvesting Wireless Communications,” IEEE Transactions on Communications, vol. 67, no. 11, pp. 8056–8071, 2019
S. Akın and M. C. Gursoy
(See online at https://doi.org/10.1109/TCOMM.2019.2934451) - Joint Channel Estimation and Data Decoding using SVM-based Receivers
S. Akın, M. Penner, and J. Peissig
(See online at https://doi.org/10.48550/arXiv.2012.02523) - “Bit Error Probability for Asynchronous Channel Access with Interference Cancellation and FBMC,” in IEEE Wireless Communications and Networking Conference (WCNC), 2020, pp. 1–7
M. Penner, S. Akın, M. Fuhrwerk, and J. Peissig
(See online at https://doi.org/10.1109/WCNC45663.2020.9120804)
