认知容量收集网络中网络切片频谱共享策略

黄杰; 杨凡; 谢应昭; 左迅; 邱天

doi:10.11959/j.issn.1000-436x.2021137

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认知容量收集网络中网络切片频谱共享策略

学术论文 | 更新时间：2024-06-05

- 认知容量收集网络中网络切片频谱共享策略
- Network slicing with spectrum sharing strategy in cognitive capacity harvesting network
- 通信学报 2021年42卷第7期页码：189-197
- 作者机构：
  
  1. 重庆理工大学电气与电子工程学院，重庆 400054
  2. 国家电网重庆电力公司信息通信分公司，重庆 400012
- 作者简介：
  
  [ "黄杰（1988− ），男，重庆人，博士，重庆理工大学讲师，主要研究方向为无线通信理论、通信网络、下一代移动通信技术、认知无线电、无线通信资源分配等" ]
  [ "杨凡（1983− ），男，湖北广水人，博士，重庆理工大学副教授，主要研究方向为无线宽带自适应传输、无线通信网络、下一代移动通信技术、无线通信中的编码技术等" ]
  [ "谢应昭（1987− ），男，重庆人，博士，国家电网重庆电力公司工程师，主要研究方向为无线通信理论、通信网络、下一代移动通信技术、电力通信网络组网与控制等" ]
  [ "左迅（1998− ），男，重庆人，重庆理工大学硕士生，主要研究方向为下一代移动通信技术、无线通信网络、无线自组网技术等" ]
  [ "邱天（1996− ），男，浙江宁波人，重庆理工大学硕士生，主要研究方向为无线通信网络、信息与压缩感知、多载波通信技术等" ]
- 基金信息：
  
  重庆市基础科学与前沿技术研究专项基金资助项目(cstc2019jcyj-msxmX0233);重庆市教育委员会科学技术研究计划基金资助项目(KJQN201901125);重庆理工大学科研启动基金资助项目(2019ZD42);重庆理工大学科研启动基金资助项目(2019ZD63)
- DOI：10.11959/j.issn.1000-436x.2021137
  中图分类号： TN929.5
- 网络出版日期：2021-07，
  
  纸质出版日期：2021-07-25
- 稿件说明：
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黄杰, 杨凡, 谢应昭, 等. 认知容量收集网络中网络切片频谱共享策略[J]. 通信学报, 2021,42(7):189-197.

Jie HUANG, Fan YANG, Yingzhao XIE, et al. Network slicing with spectrum sharing strategy in cognitive capacity harvesting network[J]. Journal on communications, 2021, 42(7): 189-197.
黄杰, 杨凡, 谢应昭, 等. 认知容量收集网络中网络切片频谱共享策略[J]. 通信学报, 2021,42(7):189-197. DOI： 10.11959/j.issn.1000-436x.2021137.

Jie HUANG, Fan YANG, Yingzhao XIE, et al. Network slicing with spectrum sharing strategy in cognitive capacity harvesting network[J]. Journal on communications, 2021, 42(7): 189-197. DOI： 10.11959/j.issn.1000-436x.2021137.

摘要

针对认知容量收集网络中网络切片的频谱共享问题，提出了一种认知容量收集网络中网络切片频谱共享策略。通过建立4D冲突图模型，提出了无冲突节点集的求解方法，并建立了频谱共享的机会容量模型，推导了非授权信道的机会容量，联合4D冲突图模型和机会容量模型提出了一种认知容量收集网络中网络切片频谱共享策略。仿真结果表明，与现有算法相比，所提算法能有效利用机会频谱资源，进一步提高信道利用率。

Abstract

To realizing the network slice with spectrum sharing in cognitive capacity harvesting network

a spectrum sharing strategy was proposed based on 4D conflict graph and opportunistic capacity.Firstly

a 4D conflict graph model for mesh network was built and a method to achieve the node sets with conflict free was proposed.Then

the opportunistic capacity model of spectrum sharing was established and the opportunistic capacity of the unlicensed channel was derived.Finally

the spectrum sharing strategy based on 4D conflict graph and opportunistic capacity was proposed for cognitive capacity harvesting network.The simulation results show that compared with existing algorithms

the proposed algorithm can effectively utilize opportunistic spectrum resources and further improve channel utilization.

关键词

Keywords

references

PAN Y , LI S N , LI B Q , et al . CDD:coordinating data dissemination in heterogeneous IoT networks [J ] . IEEE Communications Magazine , 2020 , 58 ( 6 ): 84 - 89 .

FENG L , ZI Y Q , LI W J , et al . Dynamic resource allocation with RAN slicing and scheduling for uRLLC and eMBB hybrid services [J ] . IEEE Access , 2020 , 8 : 34538 - 34551 .

ROST P , MANNWEILER C , MICHALOPOULOS D S , et al . Network slicing to enable scalability and flexibility in 5G mobile networks [J ] . IEEE Communications Magazine , 2017 , 55 ( 5 ): 72 - 79 .

CHEN Y B , WANG Y , LIU M , et al . Network slicing enabled resource management for service-oriented ultra-reliable and low-latency vehicular networks [J ] . IEEE Transactions on Vehicular Technology , 2020 , 69 ( 7 ): 7847 - 7862 .

BARIAH L , MUHAIDAT S , AL-DWEIK A , . Error performance of NOMA-based cognitive radio networks with partial relay selection and interference power constraints [J ] . IEEE Transactions on Communications , 2020 , 68 ( 2 ): 765 - 777 .

MOKARI N , PARSAEEFARD S , AZMI P , et al . Robust ergodic uplink resource allocation in underlay OFDMA cognitive radio networks [J ] . IEEE Transactions on Mobile Computing , 2016 , 15 ( 2 ): 419 - 431 .

QURESHI M A , TEKIN C . Rate and channel adaptation in cognitive radio networks under time-varying constraints [J ] . IEEE Communications Letters , 2020 , 24 ( 12 ): 2979 - 2983 .

ZHANG Y J , WANG S W . Resource allocation for cognitive radio-enabled femtocell networks with imperfect spectrum sensing and channel uncertainty [J ] . IEEE Transactions on Vehicular Technology , 2016 , 65 ( 9 ): 7719 - 7728 .

ZHANG W S , WANG C X , GE X H , et al . Enhanced 5G cognitive radio networks based on spectrum sharing and spectrum aggregation [J ] . IEEE Transactions on Communications , 2018 , 66 ( 12 ): 6304 - 6316 .

KANG X , LIANG Y C , YANG J . Riding on the primary:a new spectrum sharing paradigm for wireless-powered IoT devices [J ] . IEEE Transactions on Wireless Communications , 2018 , 17 ( 9 ): 6335 - 6347 .

DING H C , LI X H , CAI Y , et al . Intelligent data transportation in smart cities:a spectrum-aware approach [J ] . IEEE/ACM Transactions on Networking , 2018 , 26 ( 6 ): 2598 - 2611 .

BICEN A , ERGUL O , AKAN O B . Spectrum-aware and energy-adaptive reliable transport for Internet of sensing things [J ] . IEEE Transactions on Vehicular Technology , 2018 , 67 ( 3 ): 2359 - 2366 .

XIANG H Y , ZHOU W , DANESHMAND M , et al . Network slicing in fog radio access networks:issues and challenges [J ] . IEEE Communications Magazine , 2017 , 55 ( 12 ): 110 - 116 .

SALLENT O , PEREZ-ROMERO J ,, FERRUS R , et al . On radio access network slicing from a radio resource management perspective [J ] . IEEE Wireless Communications , 2017 , 24 ( 5 ): 166 - 174 .

KSENTINI A , NIKAEIN N . Toward enforcing network slicing on RAN:flexibility and resources abstraction [J ] . IEEE Communications Magazine , 2017 , 55 ( 6 ): 102 - 108 .

DING H C , FANG Y G , HUANG X X , et al . Cognitive capacity harvesting networks:architectural evolution toward future cognitive radio networks [J ] . IEEE Communications Surveys ＆ Tutorials , 2017 , 19 ( 3 ): 1902 - 1923 .

LIU X L , ANSARI N . Green relay assisted D2D communications with dual batteries in heterogeneous cellular networks for IoT [J ] . IEEE Internet of Things Journal , 2017 , 16 ( 5 ): 102 - 120 .

ROSEN H . Discrete mathematics and its applications [M ] . New York : McGraw-Hill Inc. , 2006 .

GOLDSMITH A . Wireless communications [M ] . Cambridge : Cambridge University Press , 2005 .

FOSCHINI G J , SALZ J . Digital communications over fading radio channels [J ] . The Bell System Technical Journal , 1983 , 62 ( 2 ): 429 - 456 .

LI X K , ZEKAVAT S A R . Distributed channel assignment in cognitive radio networks [C ] // Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing Connecting the World Wirelessly . New York:ACM Press , 2009 : 21 - 27 .

HUANG J , ZENG X P , TAN X H , et al . Spectrum allocation for cognitive radio networks with non-deterministic bandwidth of spectrum hole [J ] . China Communications , 2017 , 14 ( 3 ): 87 - 96 .

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