Improving QoS for streaming data transmission over 6G networks using reconfigurable intelligent surfaces (RIS). [PDF]
Ibrahim HM +3 more
europepmc +1 more source
A quantum fuzzy logic-enhanced evolutionary framework for energy-latency optimization in 6G Edge-IioT. [PDF]
Rashidi SS +3 more
europepmc +1 more source
Sparse Matrix Coding for URLLC
Sparse Vector Coding (SVC) has long been considered an encoding method that meets the URLLC QOS requirements. This encoding method has been widely studied and applied due to its low encoding and decoding complexity, no pilot transmission, resistance to inter-carrier interference, and low power consumption.
openaire +2 more sources
Deep reinforcement learning for resource allocation and scalable numerology in NR-U enabled multi-RAT HetNets. [PDF]
Elmosilhy NA +3 more
europepmc +1 more source
Multi-agent reinforcement learning driven resource game optimization for network slicing in MEC-enabled HetNets. [PDF]
Mao K.
europepmc +1 more source
Multiantenna NOMA with Finite Blocklength: A Pragmatic Paradigm for Ultra-Dense Networking. [PDF]
Wang H, Zhang Z, Wu X, Li B.
europepmc +1 more source
Quantum inspired wavelet and Fourier feature fusion for EEG based epilepsy and seizure detection. [PDF]
Jayanthi V, Sivakumar S.
europepmc +1 more source
Serving Non-Scheduled URLLC Traffic: Challenges and Learning-Powered Strategies
Supporting ultra-reliable low-latency communications (URLLC) is a major challenge of 5G wireless networks. Whilst enabling URLLC is essential for realizing many promising 5G applications, the design of communications' solutions for serving such unseen ...
Cavdar, Cicek, +2 more
core
Development of URLLC in 5G : A Literature Review on System and Security Aspects of URLLC
Ultra-Reliable Low Latency Communication (URLLC) is one of the most demanding services in 5G, placing extremely high requirements on availability, reliability, and latency. This makes the area crucial for future applications such as industrial automation,
Olausson, Felix, Sandbrink, William
core +1 more source
Polar Coding and Early SIC Decoding for Uplink Heterogeneous NOMA. [PDF]
Wu CJ, Lin CY, Huang YC.
europepmc +1 more source

