Random Access with Joint Uplink/Downlink Resource Allocation for Multimedia Tactile Internet

The multimedia Tactile Internet is a network that provides ultra-low latency and ultra-high reliability for two-way multimedia services. Since random access in uplink dominates the delay and there exist variations in target delays and traffic volumes among connections, it is much more efficient to p...

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Bibliographic Details
Published in:Wireless personal communications Vol. 135; no. 1; pp. 323 - 346
Main Authors: Woo, Tai-Kuo, Fu, Chen-Hua
Format: Journal Article
Language:English
Published: New York Springer US 01.03.2024
Springer Nature B.V
Subjects:
Access control
Algorithms
Channels
Collaboration
Communications Engineering
Computer Communication Networks
Deep learning
Downlinking
Engineering
Internet
Machine learning
Multimedia
Network latency
Networks
Performance evaluation
Random access
Random numbers
Receivers & amplifiers
Reliability
Resource allocation
Resource management
Resource utilization
Robotics
Signal,Image and Speech Processing
Traffic volume
Uplinking
Multiple access
NOMA
Multimedia tactile internet
Finite projective plane
Resource allocation
Machine learning
AI
Random access
Deep reinforcement learning
Non-orthogonal multiple access
Artificial intelligence
Joint uplink/downlink
ISSN:0929-6212, 1572-834X
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Summary:The multimedia Tactile Internet is a network that provides ultra-low latency and ultra-high reliability for two-way multimedia services. Since random access in uplink dominates the delay and there exist variations in target delays and traffic volumes among connections, it is much more efficient to perform a joint uplink and downlink resource allocation. In this paper, we provide uplink random access schemes with joint uplink and downlink resource allocation with multichannel architecture for multimedia Tactile Internet. By doing so, one can significantly increase the resource utilization efficiency and improve the reliability of the multimedia Tactile Internet as well. The cores of resource management are two-fold. First, the joint resource allocation dynamically adjusts the ratio of the number of uplink channels to the number of downlink channels and performs access control based on the collision ratios and the queue lengths. Machine learning techniques such as deep reinforcement learning can be applied to maximize the throughput. Secondly, the efficient uplink random access for multichannel architecture increases the throughput, where each transmitting node selects several time slot/channel pairs based on either theory of the Finite Projective Plane, the random numbers, or the hybrid. In the performance evaluation, we compare the performance of different selection schemes for the multichannel architecture in terms of throughput for the multimedia Tactile Internet through simulation runs and analysis. The hybrid selection scheme performs the best since it has the advantages of both the Finite Projective Plane structure and random numbers. Lastly, we compare and contrast the proposed joint uplink/downlink random access scheme with other known schemes.
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ISSN:0929-6212
1572-834X
DOI:10.1007/s11277-024-11007-4