Radio Spectrum Maps for Emerging IoT and 5G Networks: Applications to Smart Buildings

被引:0
|
作者
Dutkiewicz, Eryk [1 ]
Jayawickrama, Beeshanga Abewardana [1 ]
He, Ying [1 ]
机构
[1] Univ Technol Sydney, Sch Elect & Data Engn, Sydney, NSW, Australia
关键词
Radio Environment Maps; 5G; IoT; spectrum sharing;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The high demand for wireless Internet including emerging Internet of Things (IoT) applications is putting extreme pressure on better utilisation of the available radio spectrum. The expected spectrum "crunch" requires highly efficient radio resource management schemes with low complexity and high responsiveness to the changing network conditions. Spectrum sharing is regarded as an essential approach to regaining access to otherwise unused spectrum and it is considered an essential component in the development of IoT and 5G networks. Spectrum sharing can be conducted at different time scales. As the time scale of the operation of spectrum sharing decreases, the possibility for utilising more available spectrum holes increases. However, the shorter time scale brings with it challenges. Efficient decisions regarding the use of spectrum sharing require accurate knowledge of the spatial and temporal spectrum use in a geographical area of interest. This knowledge can be represented in Radio Spectrum Maps which need to be generated efficiently and accurately. In this paper we give an overview of the spectrum sharing concept for IoT and 5G networks. We also present our research on spectrum sharing to enable Smart Building IoT applications.
引用
收藏
页码:7 / 9
页数:3
相关论文
共 50 条
  • [1] Radio Spectrum Research for Emerging IoT and 5G Networks: Applications to Smart Buildings and Smart Cities
    Dutkiewicz, Eryk
    [J]. PROCEEDINGS OF THE SEVENTH SYMPOSIUM ON INFORMATION AND COMMUNICATION TECHNOLOGY (SOICT 2016), 2016, : 2 - 2
  • [2] Smart spectrum and radio resource management for future 5G networks
    Lopez-Benitez, Miguel
    Raschella, Alessandro
    Pizzi, Sara
    Wang, Li
    Di Felice, Marco
    Chowdhury, Kaushik Roy
    [J]. COMPUTER NETWORKS, 2021, 193
  • [3] Smart spectrum and radio resource management for future 5G networks
    López-Benítez, Miguel
    Raschellà, Alessandro
    Pizzi, Sara
    Wang, Li
    Di Felice, Marco
    Chowdhury, Kaushik Roy
    [J]. Computer Networks, 2021, 193
  • [4] Radio Environment Maps Generation and Spectrum Sensing Testbed for Spectrum Sharing in 5G Networks
    Dutkiewicz, Eryk
    He, Ying
    Jayawickrama, Beeshanga Abewardana
    Abeywickrama, Hasini Viranaga
    [J]. PROCEEDINGS OF THE 2017 IEEE-APS TOPICAL CONFERENCE ON ANTENNAS AND PROPAGATION IN WIRELESS COMMUNICATIONS (APWC), 2017, : 33 - 36
  • [5] Adaptive Radio Resource Management Scheme in 5G networks support for IoT Applications
    Ben Ali, Khitem
    Zarai, Faouzi
    [J]. 2019 SIXTH INTERNATIONAL CONFERENCE ON INTERNET OF THINGS: SYSTEMS, MANAGEMENT AND SECURITY (IOTSMS), 2019, : 270 - 276
  • [6] Practical Aspects for the Integration of 5G Networks and IoT Applications in Smart Cities Environments
    Minoli, Daniel
    Occhiogrosso, Benedict
    [J]. WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2019, 2019
  • [7] Industrial IoT Networks Powered by 5G New Radio
    Ghosh, Amitava
    Ratasuk, Rapeepat
    Rao, Anil M.
    [J]. MICROWAVE JOURNAL, 2019, 62 (12) : 24 - 40
  • [8] SPECTRUM PREDICTION FOR SUPPORTING IOT APPLICATIONS OVER 5G
    Gao, Qinghe
    Xing, Xiaoshuang
    Cheng, Xiuzhen
    Jing, Tao
    [J]. IEEE WIRELESS COMMUNICATIONS, 2020, 27 (05) : 10 - 15
  • [9] 5G Non-Terrestrial Networks Take Flight With New Radio and IoT Applications
    Stuhlfauth, Reiner
    [J]. MICROWAVE JOURNAL, 2023, 66 (11) : 34 - 42
  • [10] Load Balancing in 5G Cloud Radio Access Networks Supporting IoT Communications for Smart Communities
    Tsai, Chin
    Moh, Melody
    [J]. 2017 IEEE INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND INFORMATION TECHNOLOGY (ISSPIT), 2017, : 259 - 264