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Reliable Interferen...
Reliable Interference Prediction and Management with Time-Correlated Traffic for URLLC
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- Salehi, Fateme (author)
- Mittuniversitetet,Institutionen för data- och elektroteknik (2023-)
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- Mahmood, Aamir, 1980- (author)
- Mittuniversitetet,Institutionen för data- och elektroteknik (2023-)
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Mahmood, Nurul Huda (author)
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- Gidlund, Mikael, 1972- (author)
- Mittuniversitetet,Institutionen för data- och elektroteknik (2023-)
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(creator_code:org_t)
- IEEE conference proceedings, 2023
- 2023
- English.
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In: GLOBECOM 2023 - 2023 IEEE Global Communications Conference. - : IEEE conference proceedings. - 9798350310900 ; , s. 6699-6704
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
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- In designing ultra-reliable low-latency communication (URLLC) services in 5G-and-beyond systems, link adaptation (LA) plays a vital role in adjusting transmission parameters under channel and interference dynamics. Without capturing such dynamics (e.g., relying on average estimates), the LA algorithms fail to simultaneously meet the strict reliability and latency bounds of mission-critical applications. To this end, this paper focuses on interference prediction-based adaptive resource allocation of one-shot URLLC transmission, wherein our solution deviates from the conventional average-based interference estimation schemes. We predict the next interference value based on the interference distribution estimation using a discrete-time Markov chain (DTMC). Further, to exploit the time correlation of each interference source, we model the correlated interference variations as a second-order DTMC to achieve higher prediction accuracy. While accounting for the risk sensitivity of interference estimates, the prediction outcome is then used for appropriate resource allocation of a URLLC transmission under link outage constraints. We evaluate the complete solution, given in the form of an algorithm, using Monte-Carlo simulations, and compare it with the first-order baseline counterpart. The analysis shows that the second-order interference estimate can fulfill the target outage as low as 10-7and improve the outage probability more than ten times in some scenarios compared to the baseline scheme while keeping the same amount of resource usage.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Kommunikationssystem (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Communication Systems (hsv//eng)
Keyword
- correlated traffic
- discrete-time Markov chain
- interference prediction
- link adaptation
- URLLC
Publication and Content Type
- ref (subject category)
- kon (subject category)
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