• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

无线多媒体传感器网络中蜂窝网络下设备到设备通信的分数频率复用方案。

Fractional Frequency Reuse Scheme for Device to Device Communication Underlaying Cellular on Wireless Multimedia Sensor Networks.

机构信息

Department of Computer Science and Engineering, Hanyang University, 55 Hanyangdaehak-ro, Sangnok-gu, Ansan, Gyeonggi-do 426-791, Korea.

出版信息

Sensors (Basel). 2018 Aug 13;18(8):2661. doi: 10.3390/s18082661.

DOI:10.3390/s18082661
PMID:30104533
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6111253/
Abstract

Wireless multimedia sensor networks (WMSNs) have been improved with the increase of multimedia data. In WMSNs, a centralization problem can occur because of large-size multimedia data. It is necessary to consider device-to-device (D2D) communication. We focus on D2D WMSN based on cellular networks. Sensors in the D2D WMSN can non-orthogonally use a cellular link, which is a wireless communication channel between a sensor and an aggregator, and a D2D link, which is the channel between sensors. As a result, it has more complex interference environments than an ordinary system. Therefore, it is a key factor to manage the varying inter-cell interference effectively for throughput improvement. We propose an interference mitigation scheme that can be applied to D2D WMSN. In the proposed scheme, a cell is separated into six zones and orthogonal frequency is allocated to each zone for cellular links. The frequencies allocated to cellular links are reused by D2D links of neighboring zones. The simulation results show that the throughput of the proposed scheme increases two times compared to a static frequency allocation scheme.

摘要

随着多媒体数据的增加,无线多媒体传感器网络(WMSN)得到了改进。在 WMSN 中,由于多媒体数据的规模较大,可能会出现集中化问题。因此,有必要考虑设备到设备(D2D)通信。我们专注于基于蜂窝网络的 D2D WMSN。D2D WMSN 中的传感器可以非正交地使用蜂窝链路,该链路是传感器和聚合器之间的无线通信信道,以及 D2D 链路,该链路是传感器之间的信道。因此,它比普通系统具有更复杂的干扰环境。因此,有效管理变化的小区间干扰是提高吞吐量的关键因素。我们提出了一种可以应用于 D2D WMSN 的干扰缓解方案。在提出的方案中,将小区分为六个区域,并为每个区域的蜂窝链路分配正交频率。分配给蜂窝链路的频率由相邻区域的 D2D 链路重复使用。仿真结果表明,与静态频率分配方案相比,所提出方案的吞吐量增加了两倍。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cfa/6111253/53b87e3f2bba/sensors-18-02661-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cfa/6111253/158d2fd2d11c/sensors-18-02661-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cfa/6111253/6b8be8f80ebe/sensors-18-02661-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cfa/6111253/effa12a9005a/sensors-18-02661-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cfa/6111253/e1ea7ebf05c7/sensors-18-02661-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cfa/6111253/747516b8a8e9/sensors-18-02661-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cfa/6111253/9c62c6bc946c/sensors-18-02661-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cfa/6111253/907a94328e83/sensors-18-02661-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cfa/6111253/a4e1b0d35dc1/sensors-18-02661-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cfa/6111253/99544569e5a7/sensors-18-02661-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cfa/6111253/9b0ab61ac33f/sensors-18-02661-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cfa/6111253/a51d4dcad807/sensors-18-02661-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cfa/6111253/31e2f84014e1/sensors-18-02661-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cfa/6111253/3eb01866dc44/sensors-18-02661-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cfa/6111253/94d97b658065/sensors-18-02661-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cfa/6111253/e0cfaadf4ec9/sensors-18-02661-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cfa/6111253/2f27ce4b99bf/sensors-18-02661-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cfa/6111253/81e4a39cbcd8/sensors-18-02661-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cfa/6111253/53b87e3f2bba/sensors-18-02661-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cfa/6111253/158d2fd2d11c/sensors-18-02661-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cfa/6111253/6b8be8f80ebe/sensors-18-02661-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cfa/6111253/effa12a9005a/sensors-18-02661-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cfa/6111253/e1ea7ebf05c7/sensors-18-02661-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cfa/6111253/747516b8a8e9/sensors-18-02661-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cfa/6111253/9c62c6bc946c/sensors-18-02661-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cfa/6111253/907a94328e83/sensors-18-02661-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cfa/6111253/a4e1b0d35dc1/sensors-18-02661-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cfa/6111253/99544569e5a7/sensors-18-02661-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cfa/6111253/9b0ab61ac33f/sensors-18-02661-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cfa/6111253/a51d4dcad807/sensors-18-02661-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cfa/6111253/31e2f84014e1/sensors-18-02661-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cfa/6111253/3eb01866dc44/sensors-18-02661-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cfa/6111253/94d97b658065/sensors-18-02661-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cfa/6111253/e0cfaadf4ec9/sensors-18-02661-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cfa/6111253/2f27ce4b99bf/sensors-18-02661-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cfa/6111253/81e4a39cbcd8/sensors-18-02661-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cfa/6111253/53b87e3f2bba/sensors-18-02661-g018.jpg

相似文献

1
Fractional Frequency Reuse Scheme for Device to Device Communication Underlaying Cellular on Wireless Multimedia Sensor Networks.无线多媒体传感器网络中蜂窝网络下设备到设备通信的分数频率复用方案。
Sensors (Basel). 2018 Aug 13;18(8):2661. doi: 10.3390/s18082661.
2
An Interference Mitigation Scheme of Device-to-Device Communications for Sensor Networks Underlying LTE-A.基于长期演进技术升级版(LTE-A)的传感器网络中设备到设备通信的干扰缓解方案
Sensors (Basel). 2017 May 10;17(5):1088. doi: 10.3390/s17051088.
3
Optimal Resource Management and Binary Power Control in Network-Assisted D2D Communications for Higher Frequency Reuse Factor.网络辅助 D2D 通信中的最优资源管理和二进制功率控制,以提高更高的频率复用因子。
Sensors (Basel). 2019 Jan 10;19(2):251. doi: 10.3390/s19020251.
4
Deep Reinforcement Learning Based Resource Allocation for D2D Communications Underlay Cellular Networks.基于深度强化学习的蜂窝网络中 D2D 通信的资源分配。
Sensors (Basel). 2022 Dec 3;22(23):9459. doi: 10.3390/s22239459.
5
Joint Particle Swarm Optimization of Power and Phase Shift for IRS-Aided D2D Underlaying Cellular Systems.基于 IRS 的 D2D 覆盖蜂窝系统中的功率和相移联合粒子群优化。
Sensors (Basel). 2023 Jun 1;23(11):5266. doi: 10.3390/s23115266.
6
A Two-Layer, Energy-Efficient Approach for Joint Power Control and Uplink-Downlink Channel Allocation in D2D Communication.一种用于D2D通信中联合功率控制和上行-下行链路信道分配的两层节能方法。
Sensors (Basel). 2020 Jun 9;20(11):3285. doi: 10.3390/s20113285.
7
A Novel Dynamic Spectrum-Sharing Method for Integrated Wireless Multimedia Sensors and Cognitive Satellite Networks.一种用于集成无线多媒体传感器和认知卫星网络的新型动态频谱共享方法。
Sensors (Basel). 2018 Nov 12;18(11):3904. doi: 10.3390/s18113904.
8
Self-Detecting Traffic Interference Control for Multi-Zone Services under 5G-Based Cellular Networks.基于 5G 蜂窝网络的多区域服务的自检测流量干扰控制。
Sensors (Basel). 2021 Mar 31;21(7):2409. doi: 10.3390/s21072409.
9
Wireless Multimedia Sensor Networks: current trends and future directions.无线多媒体传感器网络:当前趋势和未来方向。
Sensors (Basel). 2010;10(7):6662-717. doi: 10.3390/s100706662. Epub 2010 Jul 9.
10
A Resource Allocation Mechanism Based on Weighted Efficiency Interference-Aware for D2D Underlaid Communication.一种基于加权效率干扰感知的D2D底层通信资源分配机制
Sensors (Basel). 2019 Jul 19;19(14):3194. doi: 10.3390/s19143194.

引用本文的文献

1
Outage Performance Analysis and SWIPT Optimization in Energy-Harvesting Wireless Sensor Network Deploying NOMA.基于 NOMA 的能量 harvesting 无线传感器网络的中断性能分析和 SWIPT 优化。
Sensors (Basel). 2019 Feb 1;19(3):613. doi: 10.3390/s19030613.
2
Optimal Resource Management and Binary Power Control in Network-Assisted D2D Communications for Higher Frequency Reuse Factor.网络辅助 D2D 通信中的最优资源管理和二进制功率控制,以提高更高的频率复用因子。
Sensors (Basel). 2019 Jan 10;19(2):251. doi: 10.3390/s19020251.

本文引用的文献

1
An Interference Mitigation Scheme of Device-to-Device Communications for Sensor Networks Underlying LTE-A.基于长期演进技术升级版(LTE-A)的传感器网络中设备到设备通信的干扰缓解方案
Sensors (Basel). 2017 May 10;17(5):1088. doi: 10.3390/s17051088.
2
MB-OFDM-UWB Based Wireless Multimedia Sensor Networks for Underground Coalmine: A Survey.基于多频带正交频分复用超宽带技术的煤矿井下无线多媒体传感器网络综述
Sensors (Basel). 2016 Dec 16;16(12):2158. doi: 10.3390/s16122158.
3
An Optimized Hidden Node Detection Paradigm for Improving the Coverage and Network Efficiency in Wireless Multimedia Sensor Networks.
一种用于提高无线多媒体传感器网络覆盖范围和网络效率的优化隐藏节点检测范式。
Sensors (Basel). 2016 Sep 7;16(9):1438. doi: 10.3390/s16091438.
4
On the Feasibility of Wireless Multimedia Sensor Networks over IEEE 802.15.5 Mesh Topologies.基于IEEE 802.15.5网状拓扑的无线多媒体传感器网络的可行性研究
Sensors (Basel). 2016 May 5;16(5):643. doi: 10.3390/s16050643.
5
Energy-efficient boarder node medium access control protocol for wireless sensor networks.用于无线传感器网络的节能边界节点介质访问控制协议。
Sensors (Basel). 2014 Mar 12;14(3):5074-117. doi: 10.3390/s140305074.
6
Adaptive multi-node multiple input and multiple output (MIMO) transmission for mobile wireless multimedia sensor networks.移动无线多媒体传感器网络中的自适应多节点多输入多输出 (MIMO) 传输。
Sensors (Basel). 2013 Oct 2;13(10):13382-401. doi: 10.3390/s131013382.