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    Resource allocation scheme for eMBB and uRLLC coexistence in 6G networks

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    s11276-023-03328-2.pdf (1.817Mb)
    Date
    2023-04-16
    Author
    Al-Ali, Muhammed
    Yaacoub, Elias
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    Abstract
    5G technology is intended to support three promising services with heterogeneous requirements: Ultra-Reliable and Low Latency Communication (uRLLC), enhanced Mobile Broadband (eMBB), and massive Machine Type Communication (mMTC). 6G is required to support even more challenging scenarios, including the presence of a large number of uRLLC devices, under the massive uRLLC (mURLLC) use case scenario. The presence of these services on the same network creates a challenging task of resource allocation to meet their diverse requirements. Given the critical nature of uRLLC applications, uRLLC traffic will always have the highest priority which causes a negative impact on the performance of other services. In this paper, the problem of uRLLC/eMBB resource allocation is investigated. An optimal resource allocation scheme is proposed with two scenarios including a guaranteed fairness level and minimum data rate among eMBB users. In addition, a knapsack-inspired punctured resource allocation algorithm is proposed where the users’ channel qualities of both services are considered at each time slot leading to the most suitable Resource Block (RB) selection for puncturing in a way that minimizes the negative impact on eMBB performance. The proposed solution was compared with three puncturing baseline reference algorithms and the performance was evaluated in terms of eMBB Sum throughput and Fairness level. The simulation results show that the proposed algorithm outperforms the above-mentioned reference algorithms in all evaluation metrics and is proved to be comparable to the optimal solution given its low complexity.
    URI
    https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85153067104&origin=inward
    DOI/handle
    http://dx.doi.org/10.1007/s11276-023-03328-2
    http://hdl.handle.net/10576/59833
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    • Computer Science & Engineering [‎2484‎ items ]

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