Journal of Xidian University ›› 2020, Vol. 47 ›› Issue (6): 50-57.doi: 10.19665/j.issn1001-2400.2020.06.008

• Special Issue: Information Transmission and Access Technologies for B5G/6G • Previous Articles     Next Articles

ZigZag-IRSA random access scheme in IoT-oriented satellite networks

SU Jingrui1(),REN Guangliang1,WANG Qiwei1,XIN Jirong2   

  1. 1. State Key Laboratory of Integrated Service Networks, Xidian University, Xi’an 710071, China
    2. National Key Laboratory on Blind Signal Processing, Strategy Support Force 57th Institute, Chengdu 610041, China
  • Received:2020-06-30 Online:2020-12-20 Published:2021-01-06

Abstract:

The throughput performance of random access (RA) in internet of things (IoT)-oriented satellite networks deteriorates seriously under a high traffic load as collision loops radically increase. To further improve the throughput, a ZigZag decoding based segmented irregular slotted ALOHA (IRSA) RA protocol is proposed. In this protocol, we shorten the length of the packet by utilizing modulation and coding techniques and design segment-level based frame format; thus, the different packet mapping modes are formed in the same timeslot. At the receiver, after the packet-level successive interference cancellation, by considering replicas as retransmitted packets, collided segments of collision loops are cancelled by the segment-level ZigZag decoder and the whole packet can be recovered by combining the successfully decoded segments. The performance of the proposed scheme is analyzed through the density evolution analysis. Compared with traditional RA protocols, the proposed protocol optimized by degree distribution has significantly improved the packet loss rate and throughput, and especially the throughput is 270% better than that of the IRSA. The proposed protocol can effectively solve the collision problem under a high traffic load, so it can work effectively in the IoT-oriented satellite networks with massive IoT devices.

Key words: satellite, random access, ZigZag decoding, internet of thing

CLC Number: 

  • TN927+.2