Projects per year
Abstract
We study low-overhead uplink multi-access algorithms for massive Internet-of-Things (IoT) that can exploit the MIMO performance gain. Although MIMO improves system capacity, it usually requires high overhead due to Channel State Information (CSI) feedback, which is unsuitable for IoT. Recently, a Pseudo-Random Beam-Forming (PRBF) scheme was proposed to exploit the MIMO performance gain for uplink IoT access with uniform channel and load, without collecting CSI at the BS. For non-uniform channel and load, new adaptive beamselection and random-access algorithms are needed to efficiently utilize the system capacity with low overhead. Most existing algorithms for a related multi-channel scheduling problem require each node to at least know some information of the queue length of all contending nodes. In contrast, we propose a new Low-overhead Multi-Channel Joint Channel-Assignment and Random-Access (L-MC-JCARA) algorithm that reduces the overhead to be independent of the number of interfering nodes. A key novelty is to let the BS estimate the total backlog in each contention group by only observing the random-access events, so that no queue-length feedback is needed from IoT devices. We prove that L-MC-JCARA can achieve at least '0.24'' of the capacity region of the optimal centralized scheduler for the corresponding multi-channel system.
Original language | English |
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Title of host publication | INFOCOM 2020 - IEEE Conference on Computer Communications |
Publisher | IEEE |
Pages | 2126-2135 |
Number of pages | 10 |
ISBN (Electronic) | 9781728164120 |
DOIs | |
Publication status | Published - Jul 2020 |
MoE publication type | A4 Conference publication |
Event | IEEE Conference on Computer Communications - Online, Toronto, Canada Duration: 6 Jul 2020 → 9 Jul 2020 Conference number: 38 |
Publication series
Name | IEEE Conference on Computer Communications |
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ISSN (Print) | 0743-166X |
Conference
Conference | IEEE Conference on Computer Communications |
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Abbreviated title | INFOCOM |
Country/Territory | Canada |
City | Toronto |
Period | 06/07/2020 → 09/07/2020 |
Keywords
- low overhead
- Lyapunov analysis
- machine-type communication
- provable stability
Fingerprint
Dive into the research topics of 'Low-Overhead Joint Beam-Selection and Random-Access Schemes for Massive Internet-of-Things with Non-Uniform Channel and Load'. Together they form a unique fingerprint.Projects
- 2 Finished
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Low Overhead Wireless Access Solutions for Massive and Dynamic IoT Connectivity
Hämäläinen, J. (Principal investigator), Ilter, M. (Project Member) & Saeed, U. (Project Member)
12/04/2017 → 31/12/2019
Project: Academy of Finland: Other research funding
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Low Overhead Wireless Access Solutions for Massive and Dynamic IoT Connectivity
Wichman, R. (Principal investigator), Abedi, M. (Project Member), Laakso, M. (Project Member), Royyan, M. (Project Member) & Ilter, M. (Project Member)
12/04/2017 → 31/12/2019
Project: Academy of Finland: Other research funding