Network slicing for URLLC and eMBB with max-matching diversity channel allocation
This work considers the problem of radio resource sharing between enhanced mobile broadband (eMBB) and ultrareliable and low latency communications (URLLC), two heterogeneous 5G services. More specifically, we propose the use of a max-matching diversity (
dos Santos, E. J. (Elço João) +3 more
core
Achieving Ultra-Reliable Low Latency Communication in 5G and Beyond. [PDF]
Bajracharya R, Shrestha R.
europepmc +1 more source
Multi-dimensional joint resource scheduling for 5G eMBB by a PER-branch dual deep Q-network. [PDF]
Xu S, Li Y, Guo J, Mo X, Zhao G.
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Machine learning driven clustering for silhouetting 5G network throughput. [PDF]
Ramesh P, Bhuvaneswari PTV.
europepmc +1 more source
Optimizing 5G NR link layer parameters for eMBB and URLLC applications under dynamic channel and transmission configurations. [PDF]
Pateriya S +3 more
europepmc +1 more source
5G/6G Networks for Wireless Communication and IoT. [PDF]
Suraci C, Araniti G.
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Scheduling allocation in 5G slicing networks utilizing weighted exponential and logarithmic functions to improve QoS. [PDF]
Nong X, Liang X.
europepmc +1 more source
Cooperative-Aware Radio Resource Allocation Scheme for 5G Network Slicing in Cloud Radio Access Networks. [PDF]
AlQahtani SA.
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EASE-6G: An Energy-Aware SDN Framework with Proactive Slicing and DL-Based Overhead Mitigation for Scalable IoT Networks. [PDF]
Albeladi M +3 more
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Synchronous collaborative assessment using a comprehensive 5G telemedicine platform in otorhinolaryngology: Bridging the gap and enhancing health equity in rural areas through smart health care. [PDF]
Yu YC +4 more
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