Adaptive Random Access and Data Transmission Scheme With Mixed Traffic in NGSO Satellite Networks

In non-geostationary orbit satellite networks, the resource is limited and the traffic under each satellite is in variation due to the motion of satellites and the non-uniform traffic on the ground. Generally, the uplink communication is guaranteed by successful random access (RA) and sufficient dat...

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Bibliographic Details
Published in:IEEE transactions on vehicular technology 2023-05, Vol.72 (5), p.1-13
Main Authors: Jia, Haoge, Jiang, Chunxiao, Kuang, Linling, Lu, Jianhua
Format: Article
Language:English
Subjects:
Access control
Algorithms
Data communication
Data transmission
Dynamic scheduling
Geosynchronous orbits
mixed traffic
NGSO satellite networks
Nonuniform traffic
Optimization
Random access
Resource allocation
Resource management
Resource utilization
Satellite broadcasting
Satellite networks
Satellites
Uplink
Uplinking
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Summary:In non-geostationary orbit satellite networks, the resource is limited and the traffic under each satellite is in variation due to the motion of satellites and the non-uniform traffic on the ground. Generally, the uplink communication is guaranteed by successful random access (RA) and sufficient data transmission (DT) resources for various traffic types. Different traffic types usually have different requirements for resources, and joint resource management for mixed traffic tries to meet the needs of various traffic types at the same time and may improve uplink resource efficiency. However, existing strategies have not given integrative consideration to jointly allocate resources for RA and DT under dynamic mixed traffic demands, which leads to inefficient network resource utilization. Considering such a problem, we propose an adaptive random access and data transmission scheme for NGSO satellite networks in the mixed traffic scenario, considering two types of users, i.e., real-time users and best-effort users. Specifically, the utility functions of different types of users are introduced, and a utility-based access control and resource allocation algorithm is developed by solving the network utility maximization problem. Our scheme aims to achieve optimal uplink network utilization by adaptively controlling random access and allocating resources according to the dynamic demands of mixed traffic. Simulation results show that the proposed scheme outperforms other methods in terms of network utility, and exhibits near-optimal performance.
ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2023.3236453