Modelling Analysis of a Novel Frameless Slotted-ALOHA Protocol Based on the Number of Detectable Conflicting Users

Sa Yang, Suoping Li (), Nana Yang and Ying Lin
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Sa Yang: School of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China
Suoping Li: School of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China
Nana Yang: School of Science, Lanzhou University of Technology, Lanzhou 730050, China
Ying Lin: School of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China

Future Internet, 2022, vol. 14, issue 10, 1-16

Abstract: To solve the conflict when multi-user packets are transmitted in a shared wireless link, a novel frameless slotted-ALOHA protocol is proposed. Signature codes are used to help the receiver identify the set of transmitting users, and successive interference cancellation technology is employed to recover conflicting packets. Thus, the information in the conflicting slot can be reused to reduce the number of retransmissions. Taking the number of backlogged users in each slot as a system state, a Markov chain model is established to analyze the protocol, in which the state transition probabilities are obtained based on the binomial distribution of packets sent in a slot. Under the maximum number of detectable conflicting users, the best value is taken, traffic balance equations are obtained, and the expressions of throughput, average number of backlogged users, average successful transmission probability and average memory size are derived. Finally, a numerical simulation is carried out to accurately analyze the influence of the first transmission probability of the packets on various performance indexes and the effectiveness of the theoretical analysis is further verified by the simulation results.

Keywords: signature code; successive interference cancellation (SIC); slotted-ALOHA; Markov chain (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2022
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