5G网络中基于noma的RRM算法的复杂度降低技术

2020 IEEE International Conference on Electrical Engineering and Photonics (EExPolytech) Pub Date : 2020-10-15 DOI:10.1109/EExPolytech50912.2020.9243860

A. Abuin, E. Iradier, L. Fanari, J. Montalbán, P. Angueira

{"title":"5G网络中基于noma的RRM算法的复杂度降低技术","authors":"A. Abuin, E. Iradier, L. Fanari, J. Montalbán, P. Angueira","doi":"10.1109/EExPolytech50912.2020.9243860","DOIUrl":null,"url":null,"abstract":"5G technology is expected to be a revolution in mobile communications due to its flexible physical layer (PHY). It is expected to cover a wide range of applications such as industry, virtual reality (VR) and autonomous vehicles. In particular, this work is focused in one of the main use cases of 5G: enhanced Mobile Broadband (eMBB), which targets large transmission capacities. This paper proposes algorithms that optimize the distribution of radio resources in broadcast/unicast scenarios in 5G networks using Non-Orthogonal Multiple Access (NOMA) techniques. First, a methodology to measure the complexity of those algorithms is presented and compared with Time Division Multiplexing (TDM) solutions. In addition, a specific algorithm that reaches optimum solution with less computational cost is proposed here. Results indicate that the overall complexity can be reduced more than 80% in comparison with current solutions.","PeriodicalId":374410,"journal":{"name":"2020 IEEE International Conference on Electrical Engineering and Photonics (EExPolytech)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Complexity Reduction Techniques for NOMA-based RRM Algorithms in 5G Networks\",\"authors\":\"A. Abuin, E. Iradier, L. Fanari, J. Montalbán, P. Angueira\",\"doi\":\"10.1109/EExPolytech50912.2020.9243860\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"5G technology is expected to be a revolution in mobile communications due to its flexible physical layer (PHY). It is expected to cover a wide range of applications such as industry, virtual reality (VR) and autonomous vehicles. In particular, this work is focused in one of the main use cases of 5G: enhanced Mobile Broadband (eMBB), which targets large transmission capacities. This paper proposes algorithms that optimize the distribution of radio resources in broadcast/unicast scenarios in 5G networks using Non-Orthogonal Multiple Access (NOMA) techniques. First, a methodology to measure the complexity of those algorithms is presented and compared with Time Division Multiplexing (TDM) solutions. In addition, a specific algorithm that reaches optimum solution with less computational cost is proposed here. Results indicate that the overall complexity can be reduced more than 80% in comparison with current solutions.\",\"PeriodicalId\":374410,\"journal\":{\"name\":\"2020 IEEE International Conference on Electrical Engineering and Photonics (EExPolytech)\",\"volume\":\"74 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE International Conference on Electrical Engineering and Photonics (EExPolytech)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EExPolytech50912.2020.9243860\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Conference on Electrical Engineering and Photonics (EExPolytech)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EExPolytech50912.2020.9243860","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 2

摘要

5G技术凭借其灵活的物理层(PHY)，有望成为移动通信领域的一场革命。预计将涵盖工业、虚拟现实(VR)和自动驾驶汽车等广泛的应用。特别是，这项工作的重点是5G的主要用例之一:增强型移动宽带(eMBB)，其目标是大传输容量。本文提出了利用非正交多址(NOMA)技术优化5G网络广播/单播场景下无线电资源分配的算法。首先，提出了一种测量这些算法复杂性的方法，并与时分复用(TDM)解决方案进行了比较。此外，本文还提出了一种以较少的计算量达到最优解的具体算法。结果表明，与现有解决方案相比，总体复杂性可降低80%以上。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Complexity Reduction Techniques for NOMA-based RRM Algorithms in 5G Networks

5G technology is expected to be a revolution in mobile communications due to its flexible physical layer (PHY). It is expected to cover a wide range of applications such as industry, virtual reality (VR) and autonomous vehicles. In particular, this work is focused in one of the main use cases of 5G: enhanced Mobile Broadband (eMBB), which targets large transmission capacities. This paper proposes algorithms that optimize the distribution of radio resources in broadcast/unicast scenarios in 5G networks using Non-Orthogonal Multiple Access (NOMA) techniques. First, a methodology to measure the complexity of those algorithms is presented and compared with Time Division Multiplexing (TDM) solutions. In addition, a specific algorithm that reaches optimum solution with less computational cost is proposed here. Results indicate that the overall complexity can be reduced more than 80% in comparison with current solutions.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2020 IEEE International Conference on Electrical Engineering and Photonics (EExPolytech)

自引率

0.00%

发文量