eMBB development and test plan
The deliverable will define the trial plan for eMBB, and in particular for the spectrum band at 3.5GHz. The test will cover massive MIMO beamforming, network slicing, and latency measurement with MEC, transport network and spectrum usage. The test campaign will be defined in this deliverable.
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Deep reinforcement learning for resource allocation and scalable numerology in NR-U enabled multi-RAT HetNets. [PDF]
Sci RepElmosilhy NA +3 more
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Multi-agent reinforcement learning driven resource game optimization for network slicing in MEC-enabled HetNets. [PDF]
Sci RepMao K.
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The microevolutionary trajectory of endemic multidrug-resistant tuberculosis strains in Portugal toward increased drug resistance levels and its clinical significance. [PDF]
Front MicrobiolGomes P +9 more
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Polar Coding and Early SIC Decoding for Uplink Heterogeneous NOMA. [PDF]
Entropy (Basel)Wu CJ, Lin CY, Huang YC.
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Neural Network-Based Adaptive Resource Allocation for 5G Heterogeneous Ultra-Dense Networks. [PDF]
Sensors (Basel)Alhazmi AS, Arafah MA.
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Business, Operational and Technical Requirements for Satellite eMBB
Defines the business, operational and technical requirements for the SaT5G scenarios identified in D2 ...
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First insight of characteristics and prediction of Mycobacterium tuberculosis drug resistance by whole genome sequencing in Fujian Province, China. [PDF]
Sci RepWei S +6 more
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In Silico Design of gRNA for CRISPR System for Detection of Multidrug Resistant Tuberculosis Using Indian Mycobacterium tuberculosis Genomes: A Computational Study. [PDF]
CureusMittal A, Manna S, Nelson V, Ladha N.
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<i>In silico</i> analysis of the functional implications of drug resistance associated mutations in <i>Mycobacterium tuberculosis</i>. [PDF]
Comput Struct Biotechnol JPal A +4 more
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