ENGINEERING RADIO MAPS FOR WIRELESS RESOURCE MANAGEMENT

被引:107
作者
Bi, Suzhi [1 ]
Lyu, Jiangbin [2 ,3 ]
Ding, Zhi [4 ]
Zhang, Rui [5 ]
机构
[1] Shenzhen Univ, Coll Informat Engn, Shenzhen, Peoples R China
[2] Xiamen Univ, Sch Informat Sci & Engn, Xiamen, Peoples R China
[3] Xiamen Univ, Key Lab Underwater Acoust Commun & Marine Informa, Xiamen, Peoples R China
[4] Univ Calif Davis, Elect & Comp Engn, Davis, CA 95616 USA
[5] Natl Univ Singapore, ECE Dept, Singapore, Singapore
基金
中国国家自然科学基金; 美国国家科学基金会;
关键词
SPECTRUM; POWER;
D O I
10.1109/MWC.2019.1800146
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The term 'radio map' in general refers to the geographical signal power spectrum density, formed by the superposition of concurrent wireless transmissions, as a function of location, frequency and time. It contains rich and useful information regarding the spectral activities and propagation channels in wireless networks. Such information can be leveraged to not only improve the performance of existing wireless services (e.g., via proactive resource provisioning) but also enable new applications, such as wireless spectrum surveillance. However, practical implementation of radio maps in wireless communication is often difficult due to the heterogeneity of modern wireless networks and the sheer amount of wireless data to be collected, stored, and processed. In this article, we provide an overview of the state-of-the-art techniques for constructing radio maps as well as applying them to achieve efficient and secure resource management in wireless networks. Some key research challenges are highlighted to motivate future investigation.
引用
收藏
页码:133 / 141
页数:9
相关论文
共 16 条
  • [1] Group-Lasso on Splines for Spectrum Cartography
    Bazerque, Juan Andres
    Mateos, Gonzalo
    Giannakis, Georgios B.
    [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2011, 59 (10) : 4648 - 4663
  • [2] Boccolini G, 2012, 2012 IEEE 23RD INTERNATIONAL SYMPOSIUM ON PERSONAL INDOOR AND MOBILE RADIO COMMUNICATIONS (PIMRC), P1565, DOI 10.1109/PIMRC.2012.6362597
  • [3] Reliability of a Radio Environment Map: Case of Spatial Interpolation Techniques
    Denkovski, D.
    Atanasovski, V.
    Gavrilovska, L.
    Riihijaervi, J.
    Maehoenen, P.
    [J]. 2012 7TH INTERNATIONAL ICST CONFERENCE ON COGNITIVE RADIO ORIENTED WIRELESS NETWORKS AND COMMUNICATIONS (CROWNCOM), 2012, : 248 - 253
  • [4] A Factor Analysis Framework for Power Spectra Separation and Multiple Emitter Localization
    Fu, Xiao
    Sidiropoulos, Nicholas D.
    Tranter, John H.
    Ma, Wing-Kin
    [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2015, 63 (24) : 6581 - 6594
  • [5] Smart Spectrum for Future Wireless World
    Fujii, Takeo
    Umebayashi, Kenta
    [J]. IEICE TRANSACTIONS ON COMMUNICATIONS, 2017, E100B (09) : 1661 - 1673
  • [6] Hazan E., 2016, FDN TRENDS OPTIMIZAT, V2, P157, DOI DOI 10.1561/2400000013
  • [7] Hong M., 2015, BIG DATA NETWORKS
  • [8] Lazzaro D., 2000, J COMPUTATIONAL APPL, V140, P521
  • [9] Voronoi Tessellation Based Interpolation Method for Wi-Fi Radio Map Construction
    Lee, Minkyu
    Han, Dongsoo
    [J]. IEEE COMMUNICATIONS LETTERS, 2012, 16 (03) : 404 - 407
  • [10] Li Jian., 2008, [No title captured]