Resource Allocation in 5G Research Topics

Resource Allocation in 5G research topics is one of the crucial methods that is used in wireless system to effectively allot and handle various users and services requirements. Here we provide few topics on the basis of resource allocation that if for 5g network based New Radio (NR).

1. Define Resource Allocation for 5GNR

At the initial stage we first see the definition of Resource Allocation for 5GNR (New Radio); it intends to optimize the allocation of time, frequency, power resources and bandwidth to offer effective and dependable interaction services to an increased number of users and appliances through a cellular network.

2. What is Resource Allocation for 5GNR?

After the definition we notice the in-depth explanation of Resource Allocation for 5GNR; it describes the procedure of allocating accessible resources namely time slots, power levels and frequency bands, to various users or appliances in a wireless network. This is important for effective and improved use of the restricted resources, making sure high-speed and dependable connection for different services and applications in 5G networks.

3. Where Resource Allocation for 5GNR used?

Next to the in-depth explanation of Resource Allocation for 5GNR we discuss where to incorporate it. It is widely utilized in the wireless communication system to effectively allot and handle accessible timeslots, power levels and frequency bands to various users and services moreover it makes sure the optimal use of materials and assistance the diverse needs of massive connection in 5G networks, low latency and high-speed data.

4. Why Resource Allocation for 5GNR technology proposed? , Previous technology issues

Resource Allocation for 5GNR technology is proposed in this research and it addresses several existing technology issues. It is proposed to efficiently handle and allocate restricted spectrum resources between an increased number of users and appliances, making sure optimal achievement and user knowledge.

Some of the existing technology issues are interference, inadequate use of resources and spectrum scarcity that have restricted the spectrum capacity and speed of existing generation technologies such as 4G LTE.

5. Algorithms/Protocols

In this research the Resource Allocation for 5GNR is proposed and it handles some previous technology issues. The algorithms/protocols to be used in this research are Q – AdaptaRoute algorithm, Elliptic Curve Digital Signature Algorithm (ECDSA), Enhanced Proximity Policy Iteration (EPPI) and Interconnected Multi-agent Actor-Critic (IMSSC) are the methods to be employed in this work.

6. Comparative Study/ Analysis

Resource Allocation for 5GNR is proposed in this research and is compared with the various methods to obtain the best findings.

• Users obtain smart cards and utilize their login details and a secure code to get the task scheduler system.
• The task scheduler gathers details, divides tasks, follows 3GPP standards, prioritize them, continuously optimizes scheduling and allocate resources.
• The work between agents are effectively allocate and arranged by taking into account the agent abilities, task priorities, CSI, MCS concerns and task dependencies by considering the IMAAC method.
• We evaluate the use of routing paths, dynamically change the routing decisions based on real-time input and choosing the best paths, taking into account the MCS and CSI changes these all are made possible by utilizing the Q-AdaptaRoute algorithm.
• After a path selection is done by UE data transmission starts, take into account MCS and CSI. We propose DL-SCH and PDSCH chains for efficient downlink interactions in 5G NR, adapting modifications and coding on the basis of CSI and MCS.

7. Simulation Results/Parameters

For 5G NR (New Radio) we allocate the resources and then the proposed technique is compared with several performance metrics to obtain the best findings. The metrics that we compared are Throughput and BLER with SNR and the Number of URLLC Users with URLLC reliability and URLLC packet rate with Reliability of eMMB users are the metrics that we compared to obtain the possible results.

8. Dataset LINKS/Important URL

In this research the Resource Allocation for 5G NR is proposed and is addressed some of the existing technology issues. Then here we offer some important links to go through the descriptions of 5GNR based resource allocation:

• https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10159393
• https://www.mdpi.com/2076-3417/13/1/119/pdf
• https://arxiv.org/pdf/2202.02006
• https://ieeexplore.ieee.org/iel7/8782661/8901158/10064353.pdf

9. Resource Allocation for 5GNR Applications

The applications to be used in Resource Allocation for 5GNR contains allocating appropriate bandwidth, frequency bands, power levels to different users and applications to make sure capable and effectual use of accessible network resources. This allows consistent and high-speed data transmission, low latency and assist for a wide range of applications namely virtual reality, industrial automation and autonomous vehicles.

10. Topology for Resource Allocation for 5GNR

The topology that used by resource allocation 5GNR describes the process of effectively allocating network resources namely spatial resources, frequency bands and time slots along various users and services. It contains resource allocation to confirm maximum network coverage, quality of service and capacity.

11. Environment in Resource Allocation for 5GNR

Now we see the environment to be acquired for Resource Allocation for 5GNR that contains dynamically allocating accessible frequency, power resources and time along users and services in the wireless environment. This optimization makes sure the minimize interference, effective utilization of spectrum and maximizes data rates, allowing diverse applications namely IoT connectivity, low latency interactions and high-speed data.

12. Simulation Tools

The Research Allocation for 5GNR requires the following software requirements to be implementing this research. The tool that used for development is NS 3.26 or above version is utilized and the programming language that acquired for this is C++ and Python. The technique is operated by the operating system Ubuntu 16.06 [LTS] or Above Version

13. Results

The research allocation for 5G NR is proposed in this research and it addresses some existing technology issues. In this research has several applications and then the performance metrics here are compared with metrics to attain the best results. The results are then implemented by using the programming language C++ and Python.

Resource Allocation in 5G Research Ideas:

The following are the topics that are related to Resource Allocation for 5GNR, these topics are useful when we clarify some doubts related to resource allocation in 5G New Radio:

1. Incentive-Driven Fog-Edge Computation Offloading and Resource Allocation for 5G-NR V2X-Based Vehicular Networks
2. Radio Resource Allocation in 5G-NR V2X: A Multi-Agent Actor-Critic Based Approach
3. Radio Resource Allocation for Collective Perception in 5G-NR Vehicle-to-X Communication Systems
4. Optimizing Resource Allocation With High-Reliability Constraint for Multicasting Automotive Messages in 5G NR C-V2X Networks
5. The Research of Resource Allocation Method Based on GCN-LSTM in 5G Network
6. Resource Allocation Methods among Server Clusters in a Resource Permeating Distributed Computing Platform for 5G Networks
7. End-to-End O-RAN Control-Loop For Radio Resource Allocation in SDR-Based 5G Network
8. Strategic Resource Pricing and Allocation in a 5G Network Slicing Stackelberg Game
9. Edge Computing Resource Allocation Method for Mining 5G Communication System
10. Deep Learning Based Traffic Prediction for Resource Allocation in Multi-Tenant Virtualized 5G Networks
11. QoE-Analysis of 5G Network Resource Allocation Schemes for Competitive Multi-User Video Streaming Applications
12. Incentive-Driven Fog-Edge Computation Offloading and Resource Allocation for 5G-NR V2X-Based Vehicular Networks
13. Blockchain-Empowered Resource Allocation in Multi-UAV-Enabled 5G-RAN: A Multi-Agent Deep Reinforcement Learning Approach
14. Optimizing Resource Allocation in 5G Networks Through Downlink and Uplink Decoupling
15. A Study of the Resource Allocation Mechanism for Secure Video Transmission in 5G Networks
16. Multiple 5G systems using End-to-End Sectioning as a Solution with Allocation of resources
17. A DRL-Based Joint Scheduling and Resource Allocation Scheme for Mixed Unicast–Broadcast Transmission in 5G
18. Vehicle-to-Everything (V2X) Evolution From 4G to 5G in 3GPP: Focusing on Resource Allocation Aspects
19. State of the Art Analysis of Resource Allocation Techniques in 5G MIMO Networks
20. 5G Radio Resource Allocation for Communication and Computation Offloading
21. Reinforcement Learning Approach for Resource Allocation in 5G HetNets
22. Radio Resource Allocation in 5G-NR V2X: A Multi-Agent Actor-Critic Based Approach
23. Multi-User Dynamic Computation Offloading and Resource Allocation in 5G MEC Heterogeneous Networks With Static and Dynamic Subchannels
24. Atomic Orbital Search Enabled Delay Aware Resource Allocation Scheme for 5G Heterogeneous Environment
25. New Resource Allocation Schemes in Multi-Cell Environment Based on Non-Orthogonal Multiple Access for Beyond 5G Systems
26. Priority-Aware Resource Allocation for 5G mmWave Multicast Broadcast Services
27. Resource Allocation in 5G Platoon Communication: Modeling, Analysis and Optimization
28. Deep Reinforcement Learning Based Resource Allocation for 5G V2V Groupcast Communications
29. Placement Optimization and Resource Allocation in UxNB-Enabled Sliced 5G Networks
30. Combinatorial Resource Allocation in UAV-Assisted 5G/B5G Heterogeneous Networks
31. A Low Complexity ML-Assisted Multi-knapsack-based Approach for User Association and Resource Allocation in 5G HetNets
32. Deep Reinforcement Learning Based Resource Allocation in Delay-Tolerance-Aware 5G Industrial IoT Systems
33. Deep Reinforcement Learning Based Resource Allocation for Renewable-Powered 5G Base Station
34. Learning Hierarchical Resource Allocation and Multi-agent Coordination of 5G mobile IAB Nodes
35. Blockchain-Enabled Federated Learning-Based Resource Allocation and Trading for Network Slicing in 5G
36. Playing With a Multi Armed Bandit to Optimize Resource Allocation in Satellite-Enabled 5G Networks
37. Multi-Objective Multi-Dimensional Resource Allocation for Categorized QoS Provisioning in Beyond 5G and 6G Radio Access Networks
38. Multi-UAV Cooperative Task Offloading and Resource Allocation in 5G Advanced and Beyond
39. JITRA: Just-In-Time Resource Allocation Through the Distributed Ledgers for 5G and Beyond
40. Resource Allocation in Multi-access Edge Computing for 5G-and-beyond networks
41. Energy efficient resource allocation method for 5G access network based on reinforcement learning algorithm
42. Design of deep learning model for radio resource allocation in 5G for massive iot device
43. Energy-efficient joint resource allocation in 5G HetNet using Multi-Agent Parameterized Deep Reinforcement learning
44. Novel EBBDSA based Resource Allocation Technique for Interference Mitigation in 5G Heterogeneous Network
45. Optimizing communication and computational resource allocations in network slicing using twin-GAN-Based DRL for 5G hybrid C-RAN
46. Towards green machine learning for resource allocation in beyond 5G RAN slicing
47. Multi-connectivity in 5G New Radio: Optimal resource allocation for split bearer and data duplication
48. Joint QoS and energy-efficient resource allocation and scheduling in 5G Network Slicing
49. Adaptive resource allocation in 5G CP-OFDM systems using Markovian model-based reinforcement learning algorithm
50. TARA: weighted majority cooperative game theory-based task assignment and resource allocation in 5G heterogeneous fog network for IoT
51. Joint energy and latency-sensitive computation and communication resource allocation for multi-access edge computing in a two-tier 5G HetNet
52. Resource allocation for UAV-assisted 5G mMTC slicing networks using deep reinforcement learning
53. 5G QoS Resource Allocation Optimization Mechanism for gNB
54. Research on Resource Allocation and Optimization Technology in 5G Communication Network
55. Research on Resource Allocation Algorithm of Smart Grid based on 5G Network Slicing Technology
56. TLBO-based Resource Allocation scheme in 5G H-CRAN
57. A Stackelberg Game-Based Dynamic Resource Allocation in Edge Federated 5G Network
58. Delay-Based Resource Allocation With Fairness Guarantee and Minimal Loss for eMBB in 5G Heterogeneous Networks
59. The Differentiated Resource Allocation Scheme of Power 5G Network Slice Based on SDN and NFV
60. Computing and Storage Resources Allocation of UPF Based on Isolation in Private 5G Networks
61. A New Priority and Satisfaction-based Resource Allocation Algorithm with Mixed Numerology for 5G-V2X communications
62. Multi-agent reinforcement learning based 5G bi-level multi-slice resource allocation
63. Dynamic Resource Allocation scheme for 5G Networks of Fronthaul-limited Shared Radio Units
64. Intelligent-Driven Green Resource Allocation for Industrial Internet of Things in 5G Heterogeneous Networks
65. Modeling the Resource Allocation in 5G Radio Access Networks with Network Slicing
66. Spatial and Spectral Resource Allocation for Energy-Efficient Massive MIMO 5G Networks
67. Dynamic Network Slicing and Resource Allocation for 5G-and-Beyond Networks
68. Coordinated Resource Allocations for eMBB and URLLC in 5G Communication Networks
69. Joint Baseband and Radio Resource Allocation for 5G Network Slicing in H-CRANs
70. Deep Reinforcement Learning-based Radio Resource Allocation and Beam Management under Location Uncertainty in 5G mm Wave Networks
71. Knowledge Transfer based Radio and Computation Resource Allocation for 5G RAN Slicing
72. An Efficient Proportional Fair MAC Scheduling for Resource Allocation in 5G Millimeter Wave Networks
73. Interaction Model and Phase States at Frequency Resource Allocation in a Grouping of Radio-Electronic Equipment of 5G Mobile Communication Network
74. Dynamic-Structure Resource Block Allocation Based Scheduling for 5G Systems
75. Optimal Resource Allocation of 5G Machine-Type Communications for Situation Awareness in Active Distribution Networks
76. Dynamic and Secure Resource Allocation Framework of Slices for 5G-Enabled Cyber Physical Systems
77. Efficient Allocation of the Amount of Radio Resources in 5G NR to Efficient Allocation of Radio Resources in 5G NR
78. Sparse Code Multiple Access Assisted Resource Allocation for 5G V2X Communications
79. An Intelligent Resource Allocation Strategy for 5G Vehicular Networks
80. A Flexible Numerology Configuration for Efficient Resource Allocation in 3GPP V2X 5G New Radio
81. Wireless Resource Allocation based on Multiplexing and Isolation in Sliced 5G Networks
82. 5G New Radio Resource Allocation Optimization for Heterogeneous Services
83. Energy-Efficient Deep Reinforcement Learning Assisted Resource Allocation for 5G-RAN Slicing
84. Spatial-Interference Aware Cooperative Resource Allocation for 5G V2V Communications
85. Multi-objective Resource Allocation for 5G Using Hierarchical Reinforcement Learning
86. Learning From Peers: Deep Transfer Reinforcement Learning for Joint Radio and Cache Resource Allocation in 5G RAN Slicing
87. Joint Radio Resource Allocation and Beamforming Optimization for Industrial Internet of Things in Software-Defined Networking-Based Virtual Fog-Radio Access Network 5G-and-Beyond Wireless Environments
88. CoMP-Based Seamless Handover and Resource Allocation for 5G-V2X Platoon Systems
89. Routing and Resource Allocation for IAB Multi-Hop Network in 5G Advanced
90. An Overview of Interslice and Intraslice Resource Allocation in B5G Telecommunication Networks
91. Stable Matching Based Resource Allocation for Service Provider’s Revenue Maximization in 5G Networks
92. Demystifying Resource Allocation Policies in Operational 5G mmWave Networks
93. Distributed Resource Allocation In 5g Networks With Multi-Agent Reinforcement Learning
94. Federated Learning approach for Auto-scaling of Virtual Network Function resource allocation in 5G-and-Beyond Networks
95. Dynamic Manager Selection Assisted Resource Allocation in URLLC With Finite Block Length for 5G-V2X Platoons
96. Dynamic Uplink and Downlink Resource Allocation using Deep RI Learning Approach in 5G-HetNets
97. Traffic-aware QoS Guaranteed SDN/NFV-5G Network with Multi-Layer Network Slicing and Resource Allocation
98. Dynamic Resource Allocation for 5G-Enabled Industrial Internet of Things System with Delay Tolerance
99. 5G Multi-RAT URLLC and eMBB Dynamic Task Offloading With MEC Resource Allocation Using Distributed Deep Reinforcement Learning
100. An Interference-Oriented 5G Radio Resource Allocation Framework for Ultradense Networks