Schedulers and Link Adaptation Algorithms

The Wireless Networks Laboratory has established long-term partnerships with leading manufacturers of telecommunications equipment. Over many years, our joint efforts have focused on addressing complex challenges related to improving the efficiency of cellular networks. The effectiveness of this collaboration is confirmed not only by the successful implementation of projects, but also by a number of prestigious industry awards.

A key outcome of this partnership has been the development of advanced radio resource scheduling algorithms, which have made it possible to significantly increase network capacity and throughput under real-world operating conditions. A substantial portion of these developments targets emerging communication scenarios in which traditional radio resource management approaches prove to be insufficiently effective. In particular, we have designed specialized scheduling algorithms to support Ultra-Reliable Low-Latency Communications (URLLC), a class of services that is critically important for industrial automation, remote control, and other applications requiring guaranteed response times. In addition, the laboratory has developed coordinated scheduling methods based on CoMIMO technology. This approach enables joint transmission using antenna arrays from multiple base stations, leading to more efficient interference management and a noticeable improvement in communication quality, especially at cell edges.

The increasing complexity of these algorithms inevitably raises the question of the computational resources required for their real-time operation. Therefore, an important and distinct research direction of the laboratory is the architectural optimization of the proposed solutions. We design scheduling algorithms specifically tailored for execution on parallel computing platforms, including multi-core processors and hardware accelerators.

List of relevant papers:


      2021
    1. Dmitry Bankov, Evgeny Khorov, Sergei Tutelian, Dmitri Shmelkin. IEEE 802.11ax OFDMA Resource Allocation with Frequency-Selective Fading. //Sensors. – 2021. – Т. 21. – №. 18. – С. 6099. https://doi.org/10.3390/s21186099.

      2. 2019
    2. Dmitry Bankov, Evgeny Khorov, Andrey Lyakhov, Evgeny Avdotin. OFDMA Resource Allocation for Real-Time Applications in IEEE 802.11ax Networks. In proc. of IEEE BlackSeaCom 2019, Sochi, Russia, 3-6 June, 2019 .

      3. 2018
    3. Dmitry Bankov, Evgeny Khorov, Andrey Lyakhov, Andre Didenko. OFDMA Uplink Scheduling in IEEE 802.11ax Networks. In Proc. of IEEE International Conference on Communications (ICC), Kansas City, USA, 2018 .

      4. 2017
    4. Dmitry Bankov, Evgeny Khorov, Vyacheslav Loginov, Andrey Lyakhov, Andre Didenko. IEEE 802.11ax Uplink Scheduler to Minimize Delay: a Classic Problem with New Constraints. In Proc. of IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE PIMRC\\\\\\\'17), Montreal, Canada, 2017.