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Open AccessArticle

A Dynamic Access Probability Adjustment Strategy for Coded Random Access Schemes

1
School of Electronics and Information Engineering, Beihang University, 37 Xueyuan Road, Haidian District, Beijing 100191, China
2
Department of Electrical, Electronic, and Information Engineering, University of Bologna, via Dell’Universitá 50, 47522 Cesena (FC), Italy
*
Authors to whom correspondence should be addressed.
Sensors 2019, 19(19), 4206; https://doi.org/10.3390/s19194206
Received: 13 August 2019 / Revised: 10 September 2019 / Accepted: 25 September 2019 / Published: 27 September 2019
(This article belongs to the Special Issue Internet of Things and Sensors Networks in 5G Wireless Communications)
In this paper, a dynamic access probability adjustment strategy for coded random access schemes based on successive interference cancellation (SIC) is proposed. The developed protocol consists of judiciously tuning the access probability, therefore controlling the number of transmitting users, in order to resolve medium access control (MAC) layer congestion states in high load conditions. The protocol is comprised of two steps: Estimation of the number of transmitting users during the current MAC frame and adjustment of the access probability to the subsequent MAC frame, based on the performed estimation. The estimation algorithm exploits a posteriori information, i.e., available information at the end of the SIC process, in particular it relies on both the frame configuration (residual number of collision slots) and the recovered users configuration (vector of recovered users) to effectively reduce mean-square error (MSE). During the access probability adjustment phase, a target load threshold is employed, tailored to the packet loss rate in the finite frame length case. Simulation results revealed that the developed estimator was able to achieve remarkable performance owing to the information gathered from the SIC procedure. It also illustrated how the proposed dynamic access probability strategy can resolve congestion states efficiently. View Full-Text
Keywords: congestion; estimation; irregular repetition slotted ALOHA; medium access control; random access; successive interference cancellation congestion; estimation; irregular repetition slotted ALOHA; medium access control; random access; successive interference cancellation
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Sun, J.; Liu, R.; Paolini, E. A Dynamic Access Probability Adjustment Strategy for Coded Random Access Schemes. Sensors 2019, 19, 4206.

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