6G移动网络关键技术

张海君; 陈安琪; 李亚博; 隆克平

doi:10.11959/j.issn.1000-436x.2022140

您当前的位置：

首页 >

文章列表页 >

6G移动网络关键技术

综述 | 更新时间：2024-06-05

- 6G移动网络关键技术
- Key technologies of 6G mobile network
- 通信学报 2022年43卷第7期页码：189-202
- 作者机构：
  
  北京科技大学计算机与通信工程学院，北京 100083
- 作者简介：
  
  [ "张海君（1985- ），男，辽宁朝阳人，博士，北京科技大学教授、博士生导师，主要研究方向为6G移动通信、人工智能与无线网络、机器学习与大数据等" ]
  [ "陈安琪（1997- ），女，河南安阳人，北京科技大学硕士生，主要研究方向为6G移动通信、无人机通信等" ]
  [ "李亚博（1995- ），男，河南商丘人，北京科技大学博士生，主要研究方向为6G网络、智能反射面通信等" ]
  [ "隆克平（1968- ），男，四川通江人，博士，北京科技大学大学教授、博士生导师，主要研究方向为新一代网络技术、光互联网关键技术、无线通信技术、人工智能与大数据" ]
- 基金信息：
  
  国家重点研发计划基金资助项目(2020YFB1806103);北京市自然科学基金资助项目(L212004);中央高校基本科研业务费专项资金资助项目(FRFTP-19-002C1);中央高校基本科研业务费专项资金资助项目(RC1631);北京科技大学钢铁冶金新技术国家重点实验室课题资助项目(KF20-04)
- DOI：10.11959/j.issn.1000-436x.2022140
  中图分类号： TN92
- 网络出版日期：2022-06，
  
  纸质出版日期：2022-07-25
- 稿件说明：
移动端阅览
张海君, 陈安琪, 李亚博, 等. 6G移动网络关键技术[J]. 通信学报, 2022,43(7):189-202.

Haijun ZHANG, Anqi CHEN, Yabo LI, et al. Key technologies of 6G mobile network[J]. Journal on communications, 2022, 43(7): 189-202.
张海君, 陈安琪, 李亚博, 等. 6G移动网络关键技术[J]. 通信学报, 2022,43(7):189-202. DOI： 10.11959/j.issn.1000-436x.2022140.

Haijun ZHANG, Anqi CHEN, Yabo LI, et al. Key technologies of 6G mobile network[J]. Journal on communications, 2022, 43(7): 189-202. DOI： 10.11959/j.issn.1000-436x.2022140.

摘要

首先，简要介绍了移动通信网络发展历程及社会需求。其次，从通信的频谱、维度、赋能以及范式角度出发，介绍了6G网络中太赫兹通信、空天地海一体化网络、人工智能以及语义通信四项关键技术。围绕四项关键技术分析了近年来的相关研究，对其典型场景模型、覆盖方案、技术原理等进行了总结，并提出了各技术未来发展中要解决的问题。最后，简要讨论了6G网络的其他候选技术，包括通信感知一体化、智能超表面与新材料、区块链、数字孪生以及确定性网络技术等。

Abstract

The development and social needs of mobile communication networks were firstly introduced.Then four key technologies of 6G network were respectively introduced from the perspectives of communication spectrum

coverage dimension

communication empowerment

and new paradigm

namely terahertz (THz) communication

space-air-ground-sea integration network

artificial intelligence (AI)

and semantic communication.The related researches of the four key technologies in recent years were analyzed

and some typical application scenarios

coverage scheme

technique principles

etc.

were summarized.Finally

based on the summary

main problems of the four technologies were proposed for the future development.Besides

other candidate technologies of 6G network

including integrated sensing and communication

reconfigurable intelligence surface and new materials

blockchain

digital twin

and deterministic network technology

etc.

were briefly discussed in the conclusion part.

关键词

Keywords

references

张平 , 牛凯 , 田辉 , 等 . 6G 移动通信技术展望 [J ] . 通信学报 , 2019 , 40 ( 1 ): 141 - 148 .

ZHANG P , NIU K , TIAN H , et al . Technology prospect of 6G mobile communications [J ] . Journal on Communications , 2019 , 40 ( 1 ): 141 - 148 .

ITU-R . IMT traffic estimates for the years 2020 to 2030:M.2370-0 [S ] . 2015 .

尤肖虎 , 尹浩 , 邬贺铨 . 6G 与广域物联网 [J ] . 物联网学报 , 2020 , 4 ( 1 ): 3 - 11 .

YOU X H , YIN H , WU H Q . On 6G and wide-area IoT [J ] . Chinese Journal on Internet of Things , 2020 , 4 ( 1 ): 3 - 11 .

ZHANG H J , ZHANG H S , LIU W , et al . Energy efficient user clustering,hybrid precoding and power optimization in terahertz MIMO-NOMA systems [J ] . IEEE Journal on Selected Areas in Communications , 2020 , 38 ( 9 ): 2074 - 2085 .

IMT-2030 (6G) 推进组 . 太赫兹通信技术研究报告 [R ] . 2021 .

IMT-2030 (6G) Promotion Group . Research report of terahertz com-munication technology [R ] . 2021 .

ITU-R . Attenuation by atmospheric gases and related effects:P.676-12 [S ] . 2019 .

ITU-R . Specific attenuation model for rain for use in prediction methods:P.838 [S ] . 2005 .

JORNET J M , AKYILDIZ I F . Channel modeling and capacity analysis for electromagnetic wireless nanonetworks in the terahertz band [J ] . IEEE Transactions on Wireless Communications , 2011 , 10 ( 10 ): 3211 - 3221 .

谢莎 , 李浩然 , 李玲香 , 等 . 太赫兹通信技术综述 [J ] . 通信学报 , 2020 , 41 ( 5 ): 168 - 186 .

XIE S , LI H R , LI L X , et al . Survey of terahertz communication technology [J ] . Journal on Communications , 2020 , 41 ( 5 ): 168 - 186 .

NIE S , AKYILDIZ I F . Channel modeling and analysis of inter-small-satellite links in terahertz band space networks [J ] . IEEE Transactions on Communications , 2021 , 69 ( 12 ): 8585 - 8599 .

FRICKE A , REY S , PENG B , et al . TG3d channel modelling document (CMD):IEEE P802.15 [S ] . 2016 .

张平 , 陶运铮 , 张治 . 5G 若干关键技术评述 [J ] . 通信学报 , 2016 , 37 ( 7 ): 15 - 29 .

ZHANG P , TAO Y Z , ZHANG Z . Survey of several key technologies for 5G [J ] . Journal on Communications , 2016 , 37 ( 7 ): 15 - 29 .

SHEIKH F , ZANTAH Y , BEN M I , et al . Scattering and roughness analysis of indoor materials at frequencies from 750 GHz to 1.1 THz [J ] . IEEE Transactions on Antennas and Propagation , 2021 , 69 ( 11 ): 7820 - 7829 .

JANSEN C , PIESIEWICZ R , MITTLEMAN D , et al . The impact of reflections from stratified building materials on the wave propagation in future indoor terahertz communication systems [J ] . IEEE Transactions on Antennas and Propagation , 2008 , 56 ( 5 ): 1413 - 1419 .

PIESIEWICZ R , JANSEN C , MITTLEMAN D , et al . Scattering analysis for the modeling of THz communication systems [J ] . IEEE Transactions on Antennas and Propagation , 2007 , 55 ( 11 ): 3002 - 3009 .

MA J J , SHRESTHA R , ZHANG W , et al . Terahertz wireless links using diffuse scattering from rough surfaces [J ] . IEEE Transactions on Terahertz Science and Technology , 2019 , 9 ( 5 ): 463 - 470 .

JANSEN C , PRIEBE S , MOLLER C , et al . Diffuse scattering from rough surfaces in THz communication channels [J ] . IEEE Transactions on Terahertz Science and Technology , 2011 , 1 ( 2 ): 462 - 472 .

SHEIKH F , GAO Y , KAISER T . A study of diffuse scattering in massive MIMO channels at terahertz frequencies [J ] . IEEE Transactions on Antennas and Propagation , 2020 , 68 ( 2 ): 997 - 1008 .

ZHANG H J , DUAN Y N , LONG K P , et al . Energy efficient resource allocation in terahertz downlink NOMA systems [J ] . IEEE Transactions on Communications , 2021 , 69 ( 2 ): 1375 - 1384 .

LEMIC F , ABADAL S , TAVERNIER W , et al . Survey on terahertz nanocommunication and networking:a top-down perspective [J ] . IEEE Journal on Selected Areas in Communications , 2021 , 39 ( 6 ): 1506 - 1543 .

LLATSER I , MESTRES A , ABADAL S , et al . Time and frequency-domain analysis of molecular absorption in short-range terahertz communications [J ] . IEEE Antennas and Wireless Propagation Letters , 2015 , 14 : 350 - 353 .

KOKKONIEMI J , LEHTOMÄKI J , UMEBAYASHI K , et al . Frequency and time domain channel models for nanonetworks in terahertz band [J ] . IEEE Transactions on Antennas and Propagation , 2015 , 63 ( 2 ): 678 - 691 .

JAVED I T , NAQVI I H . Frequency band selection and channel modeling for WNSN applications using simplenano [C ] // Proceedings of 2013 IEEE International Conference on Communications . Piscataway:IEEE Press , 2013 : 5732 - 5736 .

CHEN Y , LI Y B , HAN C , et al . Channel measurement and ray-tracing-statistical hybrid modeling for low-terahertz indoor communications [J ] . IEEE Transactions on Wireless Communications , 2021 , 20 ( 12 ): 8163 - 8176 .

PRIEBE S , JASTROW C , JACOB M , et al . Channel and propagation measurements at 300 GHz [J ] . IEEE Transactions on Antennas and Propagation , 2011 , 59 ( 5 ): 1688 - 1698 .

KHALID N , AKAN O B . Wideband THz communication channel measurements for 5G indoor wireless networks [C ] // Proceedings of 2016 IEEE International Conference on Communications . Piscataway:IEEE Press , 2016 : 1 - 6 .

HAN C , BICEN A , AKYILDIZ I F . Multi-ray channel modeling and wideband characterization for wireless communications in the terahertz band [J ] . IEEE Transactions on Wireless Communications , 2015 , 14 ( 5 ): 2402 - 2412 .

PRIEBE S , KURNER T . Stochastic modeling of THz indoor radio channels [J ] . IEEE Transactions on Wireless Communications , 2013 , 12 ( 9 ): 4445 - 4455 .

WANG J , WANG C X , HUANG J , et al . A general 3D space-time-frequency non-stationary THz channel model for 6G ultra-massive MIMO wireless communication systems [J ] . IEEE Journal on Selected Areas in Communications , 2021 , 39 ( 6 ): 1576 - 1589 .

段瑞洋 , 王景璟 , 杜军 , 等 . 面向“三全”信息覆盖的新型海洋信息网络 [J ] . 通信学报 , 2019 , 40 ( 4 ): 10 - 20 .

DUAN R Y , WANG J J , DU J , et al . New marine information network for realizing all-coverage over sea [J ] . Journal on Communications , 2019 , 40 ( 4 ): 10 - 20 .

黄韬 , 刘江 , 汪硕 , 等 . 未来网络技术与发展趋势综述 [J ] . 通信学报 , 2021 , 42 ( 1 ): 130 - 150 .

HUANG T , LIU J , WANG S , et al . Survey of the future network tech-nology and trend [J ] . Journal on Communications , 2021 , 42 ( 1 ): 130 - 150 .

FANG X R , FENG W , WEI T , et al . 5G embraces satellites for 6G ubiquitous IoT:basic models for integrated satellite terrestrial networks [J ] . IEEE Internet of Things Journal , 2021 , 8 ( 18 ): 14399 - 14417 .

AN K , LIN M , JIAN O Y , et al . Symbol error analysis of hybrid satellite-terrestrial cooperative networks with cochannel interference [J ] . IEEE Communications Letters , 2014 , 18 ( 11 ): 1947 - 1950 .

AN K , LIN M , LIANG T , et al . Performance analysis of multi-antenna hybrid satellite-terrestrial relay networks in the presence of interference [J ] . IEEE Transactions on Communications , 2015 , 63 ( 11 ): 4390 - 4404 .

李凤华 , 殷丽华 , 吴巍 , 等 . 天地一体化信息网络安全保障技术研究进展及发展趋势 [J ] . 通信学报 , 2016 , 37 ( 11 ): 156 - 168 .

LI F H , YIN L H , WU W , et al . Research status and development trends of security assurance for space-ground integration information network [J ] . Journal on Communications , 2016 , 37 ( 11 ): 156 - 168 .

SU Y T , LIU Y Q , ZHOU Y Q , et al . Broadband LEO satellite communications:architectures and key technologies [J ] . IEEE Wireless Communications , 2019 , 26 ( 2 ): 55 - 61 .

LAGUNAS E , SHARMA S K , MALEKI S , et al . Resource allocation for cognitive satellite communications with incumbent terrestrial networks [J ] . IEEE Transactions on Cognitive Communications and Networking , 2015 , 1 ( 3 ): 305 - 317 .

ZHU X M , JIANG C X , KUANG L L , et al . Energy efficient resource allocation in cloud based integrated terrestrial-satellite networks [C ] // Proceedings of 2018 IEEE International Conference on Communications . Piscataway:IEEE Press , 2018 : 1 - 6 .

ZHU X M , JIANG C X , KUANG L L , et al . Non-orthogonal multiple access based integrated terrestrial-satellite networks [J ] . IEEE Journal on Selected Areas in Communications , 2017 , 35 ( 10 ): 2253 - 2267 .

CHRISTOPOULOS D , CHATZINOTAS S , OTTERSTEN B . Multicast multigroup precoding and user scheduling for frame-based satellite communications [J ] . IEEE Transactions on Wireless Communications , 2015 , 14 ( 9 ): 4695 - 4707 .

WANG L N , WU Y N , ZHANG H J , et al . Resource allocation for NOMA based space-terrestrial satellite networks [J ] . IEEE Transactions on Wireless Communications , 2021 , 20 ( 2 ): 1065 - 1075 .

CAO H , SU Y T , ZHOU Y Q , et al . QoS guaranteed load balancing in broadband multi-beam satellite networks [C ] // Proceedings of IEEE International Conference on Communications . Piscataway:IEEE Press , 2019 : 1 - 6 .

ZHANG H J , ZHANG J M , LONG K P . Energy efficiency optimization for NOMA UAV network with imperfect CSI [J ] . IEEE Journal on Selected Areas in Communications , 2020 , 38 ( 12 ): 2798 - 2809 .

MU X D , LIU Y W , GUO L , et al . Non-orthogonal multiple access for air-to-ground communication [J ] . IEEE Transactions on Communications , 2020 , 68 ( 5 ): 2934 - 2949 .

HUA M , YANG L X , WU Q Q , et al . 3D UAV trajectory and communication design for simultaneous uplink and downlink transmission [J ] . IEEE Transactions on Communications , 2020 , 68 ( 9 ): 5908 - 5923 .

JIANG X , WU Z L , YIN Z D , et al . Power consumption minimization of UAV relay in NOMA networks [J ] . IEEE Wireless Communications Letters , 2020 , 9 ( 5 ): 666 - 670 .

LI Y B , ZHANG H J , LONG K P . Joint resource,trajectory,and artificial noise optimization in secure driven 3-D UAVs with NOMA and imperfect CSI [J ] . IEEE Journal on Selected Areas in Communications , 2021 , 39 ( 11 ): 3363 - 3377 .

LI Y B , ZHANG H J , LONG K P , et al . Joint resource allocation and trajectory optimization with QoS in UAV-based NOMA wireless net works [J ] . IEEE Transactions on Wireless Communications , 2021 , 20 ( 10 ): 6343 - 6355 .

WANG H M , ZHANG X . UAV secure downlink NOMA transmissions:a secure users oriented perspective [J ] . IEEE Transactions on Communications , 2020 , 68 ( 9 ): 5732 - 5746 .

YE J , DANG S P , SHIHADA B , et al . Space-air-ground integrated networks:outage performance analysis [J ] . IEEE Transactions on Wireless Communications , 2020 , 19 ( 12 ): 7897 - 7912 .

FU Y Z , JIANG C N , YIN L G . Satellite multicast transmission scheme in integrated satellite-maritime networks [C ] // Proceedings of 2020 International Wireless Communications and Mobile Computing (IWCMC) . Piscataway:IEEE Press , 2020 : 988 - 993 .

PANG Y , WANG D S , WANG D D , et al . A space-air-ground integrated network assisted maritime communication network based on mobile edge computing [C ] // Proceedings of 2020 IEEE World Congress on Services (SERVICES) . Piscataway:IEEE Press,Piscataway:IEEE Press , 2020 : 269 - 274 .

QU Z P , WANG X H , LIU D C , et al . Inactivation of Cipc alters the expression of Per1 but not circadian rhythms in mice [J ] . Science China (Life Sciences) , 2015 , 58 ( 4 ): 368 - 372 .

CHANG H-H , SONG H , YI Y , et al . Distributive dynamic spectrum access through deep reinforcement learning:a reservoir computing-based approach [J ] . IEEE Internet of Things Journal , 2019 , 6 ( 2 ): 1938 - 1948 .

CHU M , LI H , LIAO X W , et al . Reinforcement learning-based multiaccess control and battery prediction with energy harvesting in IoT systems [J ] . IEEE Internet of Things Journal , 2019 , 6 ( 2 ): 2009 - 2020 .

ZHANG H J , ZHANG H S , LONG K P , et al . Deep learning based radio resource management in NOMA networks:user association,subchannel and power allocation [J ] . arXiv Preprint,arXiv:2006.11513 , 2020 .

YE H , LI G Y , JUANG B H . Power of deep learning for channel estimation and signal detection in OFDM systems [J ] . IEEE Wireless Communications Letters , 2018 , 7 ( 1 ): 114 - 117 .

ZHANG Z M , HUA M , LI C G , et al . Placement delivery array design via attention-based sequence-to-sequence model with deep neural network [J ] . IEEE Wireless Communications Letters , 2019 , 8 ( 2 ): 372 - 375 .

HE Y , ZHAO N , YIN H X . Integrated networking,caching,and computing for connected vehicles:a deep reinforcement learning approach [J ] . IEEE Transactions on Vehicular Technology , 2018 , 67 ( 1 ): 44 - 55 .

SUN H R , CHEN X Y , SHI Q J , et al . Learning to optimize:training deep neural networks for interference management [J ] . IEEE Transactions on Signal Processing , 2018 , 66 ( 20 ): 5438 - 5453 .

ZHANG H J , YANG N , HUANGFU W , et al . Power control based on deep reinforcement learning for spectrum sharing [J ] . IEEE Transactions on Wireless Communications , 2020 , 19 ( 6 ): 4209 - 4219 .

WEI X H , HU C , DAI L L . Deep learning for beamspace channel estimation in millimeter-wave massive MIMO systems [J ] . IEEE Transactions on Communications , 2021 , 69 ( 1 ): 182 - 193 .

HE H T , WEN C K , JIN S , et al . Deep learning-based channel estimation for beamspace mmWave massive MIMO systems [J ] . IEEE Wireless Communications Letters , 2018 , 7 ( 5 ): 852 - 855 .

ZHANG Y H , MU Y F , LIU Y , et al . Deep learning-based beamspace channel estimation in mmWave massive MIMO systems [J ] . IEEE Wireless Communications Letters , 2020 , 9 ( 12 ): 2212 - 2215 .

WEI Y , ZHAO M M , ZHAO M J , et al . An AMP-based network with deep residual learning for mmWave beamspace channel estimation [J ] . IEEE Wireless Communications Letters , 2019 , 8 ( 4 ): 1289 - 1292 .

SHABARA Y , EKICI E , KOKSAL C E . Source coding based millimeter-wave channel estimation with deep learning based decoding [J ] . IEEE Transactions on Communications , 2021 , 69 ( 7 ): 4751 - 4766 .

O’SHEA T , HOYDIS J . An introduction to deep learning for the physical layer [J ] . IEEE Transactions on Cognitive Communications and Networking , 2017 , 3 ( 4 ): 563 - 575 .

DÖRNER S , CAMMERER S , HOYDIS J , et al . Deep learning based communication over the air [J ] . IEEE Journal of Selected Topics in Signal Processing , 2018 , 12 ( 1 ): 132 - 143 .

NGUYEN D C , PATHIRANA P N , DING M , et al . Privacy-preserved task offloading in mobile blockchain with deep reinforcement learning [J ] . IEEE Transactions on Network and Service Management , 2020 , 17 ( 4 ): 2536 - 2549 .

GAO M J , SHEN R J , SHI L , et al . Task partitioning and offloading in DNN-task enabled mobile edge computing networks [C ] // 2019 IEEE Global Communications Conference . Piscataway:IEEE Press , 2019 : 1 - 6 .

QU G J , WU H M , LI R D , et al . DMRO:a deep meta reinforcement learning-based task offloading framework for edge-cloud computing [J ] . IEEE Transactions on Network and Service Management , 2021 , 18 ( 3 ): 3448 - 3459 .

HE S W , HUANG W , WANG J H , et al . Cache-enabled coordinated mobile edge network:opportunities and challenges [J ] . IEEE Wireless Communications , 2020 , 27 ( 2 ): 204 - 211 .

ZHANG Z M , YANG Y Q , HUA M , et al . Proactive caching for vehicular multi-view 3D video streaming via deep reinforcement learning [J ] . IEEE Transactions on Wireless Communications , 2019 , 18 ( 5 ): 2693 - 2706 .

ZHANG Z M , CHEN H Y , HUA M , et al . Double coded caching in ultra dense networks:caching and multicast scheduling via deep reinforcement learning [J ] . IEEE Transactions on Communications , 2020 , 68 ( 2 ): 1071 - 1086 .

AWAN D A , CAVALCANTE R L G , STANCZAK S . Robust cell-load learning with a small sample set [J ] . IEEE Transactions on Signal Processing , 2020 , 68 : 270 - 283 .

石光明 , 肖泳 , 李莹玉 , 等 . 面向万物智联的语义通信网络 [J ] . 物联网学报 , 2021 , 5 ( 2 ): 26 - 36 .

SHI G M , XIAO Y , LI Y Y , et al . Semantic communication networking for the intelligence of everything [J ] . Chinese Journal on Internet of Things , 2021 , 5 ( 2 ): 26 - 36 .

CARNAP R , BAR-HILLEL Y , . An outline of a theory of semantic information:RLE (research laboratory of electronics) technical reports 247 [R ] . 1952 .

BAO J , BASU P , DEAN M K , et al . Towards a theory of semantic communication [C ] // Proceedings of 2011 IEEE Network Science Workshop . Piscataway:IEEE Press , 2011 : 110 - 117 .

FLORIDI L . Outline of a theory of strongly semantic information [J ] . Minds and Machines , 2004 , 14 ( 2 ): 197 - 221 .

刘传宏 , 郭彩丽 , 杨洋 , 等 . 人工智能物联网中面向智能任务的语义通信方法 [J ] . 通信学报 , 2021 , 42 ( 11 ): 97 - 108 .

LIU C H , GUO C L , YANG Y , et al . Intelligent task-oriented semantic communication method in artificial intelligence of things [J ] . Journal on Communications , 2021 , 42 ( 11 ): 97 - 108 .

涂勇峰 , 陈文 . 基于深度学习的语义通信系统 [J ] . 移动通信 , 2021 , 45 ( 4 ): 91 - 94 , 119 .

TU Y F , CHEN W . A deep learning-based semantic communication system [J ] . Mobile Communications , 2021 , 45 ( 4 ): 91 - 94 , 119 .

FARSAD N , RAO M , GOLDSMITH A . Deep learning for joint source-channel coding of text [C ] // Proceedings of 2018 IEEE International Conference on Acoustics,Speech and Signal Processing . Piscataway:IEEE Press , 2018 : 2326 - 2330 .

BOURTSOULATZE E , BURTH KURKA D , GÜNDÜZ D , . Deep joint source-channel coding for wireless image transmission [J ] . IEEE Transactions on Cognitive Communications and Networking , 2019 , 5 ( 3 ): 567 - 579 .

JANKOWSKI M , GÜNDÜZ D , MIKOLAJCZYK K . Deep joint source-channel coding for wireless image retrieval [C ] // Proceedings of ICASSP 2020 - 2020 IEEE International Conference on Acoustics,Speech and Signal Processing . Piscataway:IEEE Press , 2020 : 5070 - 5074 .

KURKA D B , GÜNDÜZ D , . DeepJSCC-f:deep joint source-channel coding of images with feedback [J ] . IEEE Journal on Selected Areas in Information Theory , 2020 , 1 ( 1 ): 178 - 193 .

WEI C C , ZHAO J , ZHOU W G , et al . Semantic boundary detection with reinforcement learning for continuous sign language recognition [J ] . IEEE Transactions on Circuits and Systems for Video Technology , 2021 , 31 ( 3 ): 1138 - 1149 .

HUANG C L , SHIH H C , CHAO C Y . Semantic analysis of soccer video using dynamic Bayesian network [J ] . IEEE Transactions on Multimedia , 2006 , 8 ( 4 ): 749 - 760 .

CHEN Y T , WANG J , BAI Y N , et al . Probabilistic semantic retrieval for surveillance videos with activity graphs [J ] . IEEE Transactions on Multimedia , 2019 , 21 ( 3 ): 704 - 716 .

MITRICA I , MERCIER E , RUELLAN C , et al . Very low bitrate semantic compression of airplane cockpit screen content [J ] . IEEE Transactions on Multimedia , 2019 , 21 ( 9 ): 2157 - 2170 .

XIE H Q , QIN Z J , LI G Y , et al . Deep learning enabled semantic communication systems [J ] . IEEE Transactions on Signal Processing , 2021 , 69 : 2663 - 2675 .

XIE H Q , QIN Z J . A lite distributed semantic communication system for Internet of things [J ] . IEEE Journal on Selected Areas in Communications , 2021 , 39 ( 1 ): 142 - 153 .

WENG Z Z , QIN Z J , LI G Y . Semantic communications for speech signals [C ] // Proceedings of ICC 2021 - IEEE International Conference on Communications . Piscataway:IEEE Press , 2021 : 1 - 6 .

浏览量

1310

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

面向通信感知一体化的室内太赫兹信道反射与透射特性研究

面向有人/无人协同的智能通信与组网关键技术：现状与趋势

可扩展分层次编译码的语义通信系统

高效融合全局和局部上下文特征的语义通信系统

知识增强的语义通信接收端设计