2019 IEEE Globecom Workshops (GC Wkshps) 2019
DOI: 10.1109/gcwkshps45667.2019.9024527
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Multi Objective Resource Allocation for Joint eMBB and URLLC Traffic with Different QoS Requirements

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Cited by 11 publications
(13 citation statements)
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“…Currently, much work about multiplexing has been investigated, such as [19][20][21], which mainly aim to boost the throughput of the eMBB services subject to the instant puncturing of the uRLLC traffic on the eMBB packet transmission upon arrival. However, the primary issue of these research is that all sporadically arrived uRLLC traffic are treated equally without any discrimination.…”
Section: Wireless Physical Resources Managementmentioning
confidence: 99%
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“…Currently, much work about multiplexing has been investigated, such as [19][20][21], which mainly aim to boost the throughput of the eMBB services subject to the instant puncturing of the uRLLC traffic on the eMBB packet transmission upon arrival. However, the primary issue of these research is that all sporadically arrived uRLLC traffic are treated equally without any discrimination.…”
Section: Wireless Physical Resources Managementmentioning
confidence: 99%
“…As for the physical resources management (mainly referring to the physical resource of time and frequency domain), the ultra-reliable and low latency communication (uRLLC) in 5G can satisfy the demands of those latency-sensitive communication services by using the flexible numerology [18]. Therefore, the multiplexing of uRLLC and enhanced mobile broadband (eMBB) traffic attracts extensive attention [19][20][21]. Different from the conventional multiplexing idea, i.e., puncturing the eMBB physical resource block (PRB) in the next mini-slot of the arriving time, we consider the unique required latency of each uRLLC traffic and propose a flexible multiplexing scheme.…”
Section: Introductionmentioning
confidence: 99%
“…URLLC system was considered in [3], [4]. Moreover, resource allocation for orthogonal frequency division multiple access (OFDMA)-URLLC systems was studied in [5]- [9]. In [10], [11], resource allocation for secure URLLC was investigated.…”
Section: Introductionmentioning
confidence: 99%
“…We note that most resource allocation algorithms proposed for URLLC systems in the literature, such as [6], [9], [10], [21], are strictly suboptimal. In particular, the algorithms developed in [10], [21] were based on block coordinate descent techniques, while those in [6], [9] employed successive convex approximation (SCA). As a result, the performance of the resource allocation algorithms in [6], [9], [10], [21] cannot be guaranteed because the gap between the optimal and suboptimal solutions is not known.…”
Section: Introductionmentioning
confidence: 99%
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