Radio Network Optimization for Heterogeneous Machine Connectivity

Project Details

Description

The global trend of digitalization and the internet of everything (IoE) paradigm require pervasive wireless connectivity; the number of connected mobile devices predicted to grow to 12B by 2021. Due to the rapidly increasing numbers of connected devices, a major part of the capacity (or bandwidth) and power consumption is due to the wireless system control overhead, which needs to be smartly minimized without sacrificing system performance. This problem is exacerbated by the heterogeneity of the requirements of different types of machine type access with varying priority levels and quality of service targets over large area coverage. The objective of this project is to develop methods to balance energy vs spectral efficiency, while minimizing control information, and supporting huge numbers of connected devices with varying priority levels and QoS targets over large area coverage.
Acronym-
StatusFinished
Effective start/end date01/01/201931/12/2022

Collaborative partners

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Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
  • Channel Charting with Angle-Delay-Power-Profile Features and Earth-Mover Distance

    Al-Tous, H., Kazemi, P., Studer, C. & Tirkkonen, O., 7 Mar 2023, 56th Asilomar Conference on Signals, Systems and Computers, ACSSC 2022. Matthews, M. B. (ed.). IEEE, p. 1195-1201 7 p. (Conference Record - Asilomar Conference on Signals, Systems and Computers; vol. 2022-October).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Open Access
    File
    1 Citation (Scopus)
    93 Downloads (Pure)
  • Binary Subspace Chirps

    Pllaha, T., Tirkkonen, O. & Calderbank, R., 1 Dec 2022, In: IEEE Transactions on Information Theory. 68, 12, p. 7735-7752 18 p.

    Research output: Contribution to journalArticleScientificpeer-review

    Open Access
    4 Citations (Scopus)
  • Channel Charting Aided Pilot Allocation in Multi-Cell Massive MIMO mMTC Networks

    Ribeiro, L., Leinonen, M., Rathnayaka, I., Al-Tous, H. & Juntti, M., 2022, 2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication, SPAWC 2022. IEEE, 5 p. (IEEE International Workshop on Signal Processing Advances in Wireless Communications).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Open Access
    File
    3 Citations (Scopus)
    64 Downloads (Pure)