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具有不完美干扰消除的联合非正交多址接入-分集方案的能量受限设计

Energy-Constrained Design of Joint NOMA-Diversity Schemes with Imperfect Interference Cancellation.

作者信息

Babich Fulvio, Buttazzoni Giulia, Vatta Francesca, Comisso Massimiliano

机构信息

Department of Engineering and Architecture, University of Trieste, Via A. Valerio 10, 34127 Trieste, Italy.

出版信息

Sensors (Basel). 2021 Jun 18;21(12):4194. doi: 10.3390/s21124194.

DOI:10.3390/s21124194
PMID:34207288
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8235347/
Abstract

This study proposes a set of novel random access protocols combining Packet Repetition (PR) schemes, such as Contention Resolution Diversity Slotted Aloha (CRDSA) and Irregular Repetition SA (IRSA), with Non Orthogonal Multiple Access (NOMA). Differently from previous NOMA/CRDSA and NOMA/IRSA proposals, this work analytically derives the energy levels considering two realistic elements: the residual interference due to imperfect Interference Cancellation (IC), and the presence of requirements on the power spent for the transmission. More precisely, the energy-limited scenario is based on the relationship between the average available energy and the selected code modulation pair, thus being of specific interest for the implementation of the Internet of Things (IoT) technology in forthcoming fifth-generation (5G) systems. Moreover, a theoretical model based on the density evolution method is developed and numerically validated by extensive simulations to evaluate the limiting throughput and to explore the actual performance of different NOMA/PR schemes in energy-constrained scenarios.

摘要

本研究提出了一组新颖的随机接入协议，该协议将诸如竞争解决分集时隙Aloha（CRDSA）和不规则重复时隙Aloha（IRSA）等分组重复（PR）方案与非正交多址接入（NOMA）相结合。与先前的NOMA/CRDSA和NOMA/IRSA方案不同，这项工作在分析时考虑了两个现实因素来推导能量水平：由于不完全干扰消除（IC）导致的残余干扰，以及对传输所消耗功率的要求。更确切地说，能量受限场景基于平均可用能量与所选编码调制对之间的关系，因此对于即将到来的第五代（5G）系统中物联网（IoT）技术的实现具有特殊意义。此外，还开发了一种基于密度进化方法的理论模型，并通过广泛的仿真进行了数值验证，以评估极限吞吐量，并探索不同NOMA/PR方案在能量受限场景下的实际性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e120/8235347/bfc3b8b56af8/sensors-21-04194-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e120/8235347/890867f348f0/sensors-21-04194-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e120/8235347/dca620a2d02d/sensors-21-04194-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e120/8235347/c4f34adef842/sensors-21-04194-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e120/8235347/da61deb6598e/sensors-21-04194-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e120/8235347/6c90fcee7cc6/sensors-21-04194-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e120/8235347/9d43adc94b5c/sensors-21-04194-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e120/8235347/60162ed466d2/sensors-21-04194-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e120/8235347/da31ee0bb2ef/sensors-21-04194-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e120/8235347/bfc3b8b56af8/sensors-21-04194-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e120/8235347/890867f348f0/sensors-21-04194-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e120/8235347/dca620a2d02d/sensors-21-04194-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e120/8235347/c4f34adef842/sensors-21-04194-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e120/8235347/da61deb6598e/sensors-21-04194-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e120/8235347/6c90fcee7cc6/sensors-21-04194-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e120/8235347/9d43adc94b5c/sensors-21-04194-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e120/8235347/60162ed466d2/sensors-21-04194-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e120/8235347/da31ee0bb2ef/sensors-21-04194-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e120/8235347/bfc3b8b56af8/sensors-21-04194-g009.jpg

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