Home > Published Issues > 2023 > Volume 18, No. 8, August 2023 >
JCM 2023 Vol.18(8): 481-488
Doi: 10.12720/jcm.18.8.481-488

Design of Degree Distribution with Maximum Distance Separable Codes for User Priority

Solichah Larasati *, Khoirun Ni’amah, Reni Dyah Wahyuningrum, and Alfin Hikmaturokhman
Institut Teknologi Telkom Purwokerto, Faculty of Telecommunications and Electrical Engineering, Purwokerto, Indonesia; Email: {irun, reni, alfin}@ittelkom-pwt.ac.id (K.N., R.D.W., A.H.)
*Correspondence: laras@ittelkom-pwt.ac.id (S.L.)

Manuscript received January 2, 2023; revised February 27, 2023; accepted March 7, 2023.

Abstract—In the super-dense future network communication, human and machine communications are mixed in a single network. They will trespass each other and could lead to an intersection. This paper develops Coded Random Access (CRA) using Maximum Distance Sparable (MDS) codes as a multiple access scheme to serve millions of users, covering human and machines. This research aims to maximum number of user human and machines, where the priority access is given to the human. Two keywords of CRA, i.e., coding (solved by optimal degree distributions) and random. To analyze design degree distribution using Extrinsic Information Transfer (EXIT) Chart projection under binary erasure channels (BEC). The priority scheme for human communications is determined based on utility functions. The parameters used to see the performance of the EXIT chart are packet-loss-rate (PLR) and throughput. Based on the results, the degree design has succeeded in prioritizing humans, which is indicated by the small PLR value but large throughput, as well as the EXIT curve with its very small gap.

Keywords—CRA, EXIT Chart, MDS Codes, PLR, throughput

Cite: Solichah Larasati, Khoirun Ni’amah, Reni Dyah Wahyuningrum, and Alfin Hikmaturokhman, “Design of Degree Distribution with Maximum Distance Separable Codes for User Priority," Journal of Communications vol. 18, no. 8, pp. 481-488, August 2023.

Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.