Ultra Reliable Low Latency Communication Research Topics

Mini Slot Resource Allocation Ultra-Reliable Low Latency Communication (URLLC) Research Topics is widely utilized in many applications and it allocates the time duration to transmit the resources. In this we offer some details that are relevant to this proposed technology.

  1. Define Mini Slot Resource Allocation in URLLC

At the beginning of every research must contain the definition. Mini Slot Resource Allocation in URLLC  contains allocating a minimum time interval or slots with less time to effectively allocate resources for sending important and low-latency data in wireless communication networks.

  1. What is Mini Slot Resource Allocation in URLLC?

At the next stage we see the detailed understanding for our proposed research. Mini slot Resource Allocation in URLLC intends to improve the response and reliability of communication for applications that need very low latency and high reliability like autonomous vehicles and industrial automation. This technique defines the maximum interval of time or slots to effectively handle and assign resources to send the low-latency and essential data in wireless Communication Systems.

  1. Where Mini Slot Resource Allocation in URLLC used?

After the detailed understanding we recognize where to employ our proposed technique. It is utilized in places like Healthcare, Smart Grids, Financial Transactions, Public Safety and Emergency Services, Industrial Automation, Virtual Reality (VR) and Augmented Reality (AR), Autonomous vehicles and Wireless Control Systems.

  1. Why Mini Slot Resource Allocation in URLLC technology proposed? , Previous technology issues

Our proposed technology is proposed to confirm correct time to obtain focus on improving the strength and reliability of interaction on any interaction in conditions when minimized latency and high dependability are important applications. Several previous technology issues that occur are effects of pre-processing, reducing network attacks limitations, Constraints in scale resource allocation.

  1. Algorithms / Protocols

Here we propose a novel technology that is utilized to address some previous technology issues to overcome that. The methods that we utilized to overcome are Cosine Growing Unit ResNet (CGURN), Linear Amplifier-Quadrature Phase Shift Keying (LA-QPSK) algorithm and Variance Induced Decision Variable Coati Optimization Algorithm (VIDV-COA).

  1. Comparative Study / Analysis

In this research we proposed a mini slot resource allocation in URLLC to overcome the previous technology issues and here we compare several methods to get the best result.

  • We utilize Variance Induced Decision Variable Coati Optimization Algorithm (VIDV-COA) technique for optimal mini-slot safe resource allocation.
  • For data traffic classification, Cosine Growing Unit ResNet (CGURN) and it is a security-based resource classification method that enhances the security against Replay attacks and DoS, creating CGURN an overall solution for protection on network and system damage prevention. Then the model verifies instruction sources and estimate instruction accuracy and unity.
  • We decrease protective interaction and intervention by utilizing the Linear Amplifier-Quadrature Phase Shift Keying (LA-QPSK).
  1. Simulation Results / Parameters

Now we compare our proposed technique with various performance metrics or parameters with the existing technologies to validate that our proposed techniques give the best outcomes when compared to others. The metrics that we compared are Frr, Recall, Mcc, Fmes, Fnr, Precision, Fpr, Sensitivity, Npv, Accuracy and Specificity.

  1. Dataset LINKS / Important URL

We provide some important links that are employed to overview the explanation, Concepts and some other applications related to this proposed technology.

  1. Mini Slot Resource Allocation in URLLC Applications

Let’s look for the applications to be incorporated for this proposed approach to be followed. The applications that we utilized for this research are Autonomous Vehicles and Intelligent Transportation Systems, Monitoring Telemedicine and remote healthcare, Smart Factories and Industry 4.0., Critical Infrastructure, Drone Communication, Virtual Reality (VR) and Augmented Reality (AR), Public Safety and Emergency Services, Remote Control Systems, Energy Grid Management, Financial Trading and mission-Critical Communications.

  1. Topology for Mini Slot Resource Allocation in URLLC

Topologies that are utilized by our proposed technique are as follows. The topologies that we used are Pre-processing, Secure data allocation, Data Gathering, Validation and Testing and Classification.

  1. Environment in Mini Slot Resource Allocation in URLLC

Our proposed technique Mini slot resource allocation in URLLC utilizes the following environments for this research. Frequency Spectrum Availability, Mobility, Interference Propagation Delay, Wireless Channel Conditions, Quality of Service (QoS)requirements, Security Requirements and Network Congestion.

  1. Simulation Tools

The resource allocation in URLLC requires the following software requirements. The tool here we used to implement the work is MATLAB-R 2020a (or the above version). Then the operating system that used to operate the system is Windows-10 (64 – bit).

  1. Results

The resource allocation in URLLC is now broadly used in many applications and it is proposed to solve some previous technology issues by comparing the performance metrics in this. Then the work is implemented by using the operating system Windows 10 (64-bit).

Ultra Reliable Low Latency Communication Research Ideas

The following are the research topics that are relevant to the proposed technique resource allocation in URLLC. These topics are assistful when we have to overview the concepts, descriptions or any additional details relevant to this.

  1. Resource Allocation of eMBB and URLLC Traffic using Pre-emption Mechanism
  2. Resource Allocation for IRS-Assisted Uplink URLLC Systems
  3. Resource Allocation in MU-MISO Rate-Splitting Multiple Access With SIC Errors for URLLC Services
  4. Joint Uplink and Downlink Resource Allocation Toward Energy-Efficient Transmission for URLLC
  5. Improved Grant-Free Access for URLLC via Multi-Tier-Driven Computing: Network-Load Learning, Prediction, and Resource Allocation
  6. Puncturing-Based Resource Allocation for URLLC and eMBB services via Unsupervised Deep Learning
  7. Multi-Agent DRL Approach for Energy-Efficient Resource Allocation in URLLC-Enabled Grant-Free NOMA Systems
  8. Predictive Resource Allocation for URLLC using Empirical Mode Decomposition
  9. Resource Allocation and Cooperation Scheduling for Reliability Maximization in Cluster Head Based Cooperative URLLC Networks
  10. Dynamic Resource Allocation for URLLC in UAV-Enabled Multi-access Edge Computing
  11. Joint URLLC Traffic Scheduling and Resource Allocation for Semantic Communication Systems
  12. Resource Allocation Design for Spectral-Efficient URLLC Using RIS-Aided FD-NOMA System
  13. Channel-Aware Multi-User Resource Allocation for Ultra-Reliable Low-Latency Communications
  14. Resource Allocation for Cell-Free Massive MIMO-Enabled URLLC Downlink Systems
  15. Resource Allocation for Cell-Free Massive MIMO-Aided URLLC Systems Relying on Pilot Sharing
  16. Joint α-Fair Allocation of RAN and Computing Resources to URLLC Users in 5G
  17. Resource Allocation for Uplink Cell-Free Massive MIMO Enabled URLLC in a Smart Factory
  18. Energy-Efficient Resource Allocation in Ultra-Dense Networks with EMBB and URLLC Users Coexistence
  19. Resource Allocations for Coexisting eMBB and URLLC Services in Multi-UAV Aided Communication Networks for Cellular Offloading
  20. Optimal User Grouping and Analytical Joint Resource Allocation Design in Hybrid BC-TDMA Assisted URLLC Networks
  21. Cross-Layer Resource Allocation for URLLC Industrial Automation Over Multi-Connectivity
  22. Resource allocation for URLLC and eMBB traffic in uplink wireless networks
  23. Resource allocation scheme for eMBB and uRLLC coexistence in 6G networks
  24. Resource Allocation and Slicing Puncture in Cellular Networks With eMBB and URLLC Terminals Coexistence
  25. Deep Reinforcement Learning Based Resource Allocation for URLLC User-Centric Network
  26. Learning-Based Cooperative Multiplexing Mode Selection and Resource Allocation for eMBB and uRLLC
  27. Resource Allocation for URLLC Service in Relay-Assisted Smart Grid System
  28. Joint User Association and Resource Allocation in Multi-IRSs URLLC Systems
  29. Resource Allocation and Beamforming design for Downlink MISO-URLLC Systems
  30. Optimal Uplink Resource Allocation for Single-User eMBB and URLLC Coexistence
  31. Dynamic Manager Selection Assisted Resource Allocation in URLLC With Finite Block Length for 5G-V2X Platoons
  32. Coordinated Resource Allocations for eMBB and URLLC in 5G Communication Networks
  33. Joint Resource Allocation and Phase Shift Optimization for RIS-Aided eMBB/URLLC Traffic Multiplexing
  34. Risk-Resistant Resource Allocation for eMBB and URLLC Coexistence Under M/G/1 Queueing Model
  35. Distributed Resource Allocation for URLLC in IIoT Scenarios: A Multi-Armed Bandit Approach
  36. Dynamic Resource Block Allocation Techniques for Simultaneous EMBB and URLLC Traffic
  37. Codebook Based Two-Time Scale Resource Allocation Design for IRS-Assisted eMBB-URLLC Systems
  38. 5G Multi-RAT URLLC and eMBB Dynamic Task Offloading With MEC Resource Allocation Using Distributed Deep Reinforcement Learning
  39. A Reliable Reinforcement Learning for Resource Allocation in Uplink NOMA-URLLC Networks
  40. Resource Allocation and Retransmission Scheme for URLLC in Industrial Wireless Networks with Mixed Traffic
  41. URLLC-Enabled by Laser Powered UAV Relay: A Quasi-Optimal Design of Resource Allocation, Trajectory Planning and Energy Harvesting
  42. A probabilistic Grant Free scheduling model to allocate resources for eXtreme URLLC applications
  43. QoS Guaranteed Resource Allocation for Coexisting eMBB and URLLC Traffic in 5G Industrial Networks
  44. URLLC Edge Networks With Joint Optimal User Association, Task Offloading and Resource Allocation: A Digital Twin Approach
  45. Resource Allocation for URLLC Service in In-Band Full-Duplex-Based V2I Networks
  46. Optimal Resource Allocation for Multi-User OFDMA-URLLC MEC Systems
  47. Resource Allocation for URLLC-Oriented Two-Way UAV Relaying
  48. Dynamic resource allocation schemes for eMBB and URLLC services in 5G wireless networks
  49. Resource Allocation and Computation Offloading in Ultra-reliable Low-latency Communication Systems via Deep Reinforcement Learning
  50. Resource Allocation for IRS-Enabled Secure Multiuser Multi-Carrier Downlink URLLC Systems