Random Access Based on Maximum Average Distance Code for Massive MTC in Cellular IoT Networks

Autor(es)

Astudillo, Carlos A. ^[1] ; Hossain, Ekram ^[2] ; da Fonseca, Nelson L. S. ^[1]

Afiliação do(s) autor(es)

^[1] Univ Estadual Campinas, Inst Comp, BR-13083852 Campinas - Brazil

^[2] Univ Manitoba, Dept Elect & Comp Engn, Winnipeg, MB R3T 5V6 - Canada

• Tipo de documento: Artigo Científico
• Fonte: IEEE WIRELESS COMMUNICATIONS LETTERS; v. 10, n. 9, p. 1852-1856, SEP 2021.
• Citações Web of Science: 0

Resumo

Code-expanded Random Access (CeRA) is a promising technique for supporting massive machine-type communications in cellular IoT networks. However, its potentiality is limited by code ambiguity, which results from the inference of a larger number of codewords than those actually transmitted. In this letter, we propose a random access (RA) scheme to alleviate this problem by allowing devices to select the preambles to be transmitted considering a q-ary code with maximum average distance. Moreover, a CeRA decoding approach based on hypergraphs is proposed and an analytical model is derived. Numerical results show that the proposed scheme significantly increases the probability of successful channel access as well as resource utilization. (AU)

• Processo FAPESP: 19/22065-3 - Uso de redes celulares como rede de acesso para coleta de informações de sensores sem fio
• Beneficiário: Carlos Alberto Astudillo Trujillo
• Modalidade de apoio: Bolsas no Brasil - Programa Capacitação - Treinamento Técnico
• Processo FAPESP: 15/24494-8 - Comunicação e processamento de big data em nuvens e névoas computacionais
• Beneficiário: Nelson Luis Saldanha da Fonseca
• Modalidade de apoio: Auxílio à Pesquisa - Temático