Maximizing the QoS-Constrained Performance for Ultra-Reliable and Low-Latency Communications (11.2017 - 10.2018).

Funding reference: StUpPD_262-17
Funding source: Funded by the Excellence Initiative of the German federal and state governments.
Duration: 01.11.2017 -31.10.2018
Link: http://www.rwth-aachen.de/cms/root/Die-RWTH/Exzellenzinitiative/Zukunftskonzept/PlaceToBe/Personenbezogene -Projektfoerderung-und-A/RWTH-Start-Up/~pfnc/Gefoerderte-Start-Up-Projekte/?lidx=1

Future wireless communications are expected to carry emerging traffic with diversified performance attributes, in order to enable the Industry 4.0 initiative. Beyond conventional content distribution, where network throughput is most relevant, a wide range of new applications (such as industrial automation, high-speed train control, augmented & virtual reality, and remote surgery) need to be supported by massive machine-type communications, and ultra-reliable and low-latency communications (URLLC). In URLLC networks, coding blocklengths of the wireless transmission are quite short. In general, it is well known that for short blocklengths the decoding can fail due to noise effects, as the noise process cannot be averaged out over an arbitrarily large number of coding blocks. Unfortunately, most of the existing studies addressing URLLC performance in general are typically under the assumption of an infinite blocklength, e.g., following the Shannon capacity, leaving the realistic low-latency finite-blocklength performance an open problem. The general objective of this project is to model and optimize the QoS-constrained performance of URLLC systems in the finite blocklength regime. We will first consider a multi-node URLLC network with constant data arrival rate. We plan to model the QoS-constrained performance of the network and design an efficient blocklength allocation to maximize the performance. We then extend the study to a more practical scenario where the data arrives at the transmitter buffer with a random behavior. The results of this work are expected to provide insights into the considered URLLC systems and provide guidelines for an efficient design of QoS-support URLLC networks.

Contact

Yulin Hu, Anke Schmeink


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