TY - GEN
T1 - Dynamic Threshold Adjustment Method for Spma Based on Hierarchical QoS
AU - Wang, Ruilin
AU - He, Feng
AU - Li, Ershuai
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - To address the issues of existing Statistical Prioritybased Multiple Access (SPMA) methods in airborne networks, which lack differentiated priority thresholds and struggle with dynamic load changes, a dynamic threshold adjustment method for SPMA based on hierarchical QoS (HQOS-SPMA) is proposed. By integrating user and service priorities into a comprehensive priority model, HQOS-SPMA employs a non-linear exponential weighting algorithm to dynamically adjust differentiated thresholds, with the threshold range adaptively tuned according to the load state. Simulations show HQOS-SPMA outperforms traditional methods, achieving up to 30 Mbps throughput. Moreover, under low-load conditions, HQOS-SPMA ensures that the success rate of the highest priority transmission is greater than 99%, while the success rate of other priority transmissions is not less than 96%; Under high-load conditions, the highest priority transmission success rate of the HQOS-SPMA remains above 80%, and the lowest priority success rate has increased by about 27% compared to the traditional method.
AB - To address the issues of existing Statistical Prioritybased Multiple Access (SPMA) methods in airborne networks, which lack differentiated priority thresholds and struggle with dynamic load changes, a dynamic threshold adjustment method for SPMA based on hierarchical QoS (HQOS-SPMA) is proposed. By integrating user and service priorities into a comprehensive priority model, HQOS-SPMA employs a non-linear exponential weighting algorithm to dynamically adjust differentiated thresholds, with the threshold range adaptively tuned according to the load state. Simulations show HQOS-SPMA outperforms traditional methods, achieving up to 30 Mbps throughput. Moreover, under low-load conditions, HQOS-SPMA ensures that the success rate of the highest priority transmission is greater than 99%, while the success rate of other priority transmissions is not less than 96%; Under high-load conditions, the highest priority transmission success rate of the HQOS-SPMA remains above 80%, and the lowest priority success rate has increased by about 27% compared to the traditional method.
KW - backoff
KW - Channel occupancy statistics (COS)
KW - priority queue
KW - statistical priority based multiple access (SPMA) protocol
KW - Tactical Targeting Network Technology (TTNT)
UR - https://www.scopus.com/pages/publications/105029898092
U2 - 10.1109/DASC66011.2025.11257368
DO - 10.1109/DASC66011.2025.11257368
M3 - 会议稿件
AN - SCOPUS:105029898092
T3 - AIAA/IEEE Digital Avionics Systems Conference - Proceedings
BT - DASC 2025 - Digital Avionics Systems Conference, Conference Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 44th AIAA DATC/IEEE Digital Avionics Systems Conference, DASC 2025
Y2 - 14 September 2025 through 18 September 2025
ER -