Graph-based joint mode selection and resource allocation scheme for D2D and cellular hybrid network using SCMA

Ke Zhao, Min Sheng, Junyu Liu, Yanpeng Dai, Lei Liu, Yan Shi, Jiandong Li
{"title":"Graph-based joint mode selection and resource allocation scheme for D2D and cellular hybrid network using SCMA","authors":"Ke Zhao, Min Sheng, Junyu Liu, Yanpeng Dai, Lei Liu, Yan Shi, Jiandong Li","doi":"10.1109/WCSP.2016.7752515","DOIUrl":null,"url":null,"abstract":"Enabling device-to-device (D2D) communication in cellular network is shown to be a promising candidate in the future fifth generation (5G) wireless network. Specifically, the hybrid architecture leads to flexible and efficient resource allocation for cellular users and D2D users, thereby enhancing utilization of spectrum resources. However, if not properly handled, mutual interference will be significantly raised with the proliferation of devices, which bottlenecks the performance of the hybrid system. In this paper, joint mode selection and resource allocation is considered for a sparse code multiple access (SCMA) enabled uplink cellular network. Targeting at maximizing system sum rate, we formulate a joint optimization problem, which, however, is shown to be a mixed-integer nonlinear programming (MINLP) problem. To solve the problem, we propose a graph-based joint mode selection and resource allocation (GMR) algorithm. GMR is an interference-aware algorithm. In particular, when GMR is applied, D2D users reuse SCMA resources only when the interference level to cellular users is below a predefined threshold. Otherwise, dedicated resources are allocated to D2D users to avoid the overwhelming mutual interference. Simulation results have confirmed the efficacy of GMR in enhancing spectrum efficiency and system sum rate in the hybrid system.","PeriodicalId":158117,"journal":{"name":"2016 8th International Conference on Wireless Communications & Signal Processing (WCSP)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 8th International Conference on Wireless Communications & Signal Processing (WCSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCSP.2016.7752515","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

Enabling device-to-device (D2D) communication in cellular network is shown to be a promising candidate in the future fifth generation (5G) wireless network. Specifically, the hybrid architecture leads to flexible and efficient resource allocation for cellular users and D2D users, thereby enhancing utilization of spectrum resources. However, if not properly handled, mutual interference will be significantly raised with the proliferation of devices, which bottlenecks the performance of the hybrid system. In this paper, joint mode selection and resource allocation is considered for a sparse code multiple access (SCMA) enabled uplink cellular network. Targeting at maximizing system sum rate, we formulate a joint optimization problem, which, however, is shown to be a mixed-integer nonlinear programming (MINLP) problem. To solve the problem, we propose a graph-based joint mode selection and resource allocation (GMR) algorithm. GMR is an interference-aware algorithm. In particular, when GMR is applied, D2D users reuse SCMA resources only when the interference level to cellular users is below a predefined threshold. Otherwise, dedicated resources are allocated to D2D users to avoid the overwhelming mutual interference. Simulation results have confirmed the efficacy of GMR in enhancing spectrum efficiency and system sum rate in the hybrid system.
基于SCMA的D2D与蜂窝混合网络联合模式选择与资源分配方案
在蜂窝网络中启用设备到设备(D2D)通信被证明是未来第五代(5G)无线网络的一个有希望的候选。具体来说,混合架构为蜂窝用户和D2D用户提供了灵活高效的资源分配,从而提高了频谱资源的利用率。然而,如果处理不当,随着设备的扩散,相互干扰将大大增加,这将成为混合系统性能的瓶颈。本文研究了基于稀疏码多址(SCMA)的上行蜂窝网络的联合模式选择和资源分配问题。以系统和速率最大化为目标,提出了一个联合优化问题,该问题是一个混合整数非线性规划(MINLP)问题。为了解决这个问题,我们提出了一种基于图的联合模式选择和资源分配(GMR)算法。GMR算法是一种干扰感知算法。特别是,当应用GMR时,D2D用户只有在对蜂窝用户的干扰水平低于预定义阈值时才重用SCMA资源。否则,为D2D用户分配专用资源,避免过多的相互干扰。仿真结果证实了GMR在提高混合系统频谱效率和系统和速率方面的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信