摘要： 提出了一種基于無(wú)線指紋數(shù)據(jù)庫(kù)的頻譜感知方案,。首先,，在蜂窩認(rèn)知無(wú)線電網(wǎng)絡(luò)(Cell Cognitive Radio Network,，CCRN)覆蓋的目標(biāo)地理區(qū)域內(nèi),，次用戶設(shè)備(Secondary User Equipment,，SUE)收集大量頻譜觀測(cè)數(shù)據(jù),，基于各種機(jī)器學(xué)習(xí)算法對(duì)頻譜觀測(cè)數(shù)據(jù)進(jìn)行處理得到授權(quán)頻譜上主用戶發(fā)射機(jī)(Primary User Transmit,，PUT)的傳輸模式；隨后,，在PUT不同的傳輸模式下劃分地理位置區(qū)域,，采用基于空間距離計(jì)算的方法獲取網(wǎng)格標(biāo)簽，建立無(wú)線指紋數(shù)據(jù)庫(kù),；最后,，有感知需求的次用戶設(shè)備(Secondary User Equipment，SUE)根據(jù)接收到的基站(Base Station,，BS)參考信號(hào)的到達(dá)時(shí)間(Time Of Arrival,，TOA)估計(jì)值來(lái)獲取其無(wú)線指紋，然后與無(wú)線指紋數(shù)據(jù)庫(kù)(Wireless FingerPrint Database,，WFPD)中的無(wú)線指紋(Wireless FingerPrint,，WFP)進(jìn)行匹配確定其地理位置，并由此確定授權(quán)頻段的接入標(biāo)簽,。仿真結(jié)果表明,，本方案方案在減少對(duì)主用戶干擾的前提下，增加了授權(quán)頻譜的接入機(jī)會(huì),。
中圖分類號(hào)： TN92 文獻(xiàn)標(biāo)識(shí)碼： A DOI：10.16157/j.issn.0258-7998.201235 中文引用格式： 顏廷秋，申濱,，王欣. 基于無(wú)線指紋數(shù)據(jù)庫(kù)的認(rèn)知無(wú)線電頻譜感知[J].電子技術(shù)應(yīng)用,，2021，47(7)：69-73. 英文引用格式： Yan Tingqiu,，Shen Bin,，Wang Xin. Wireless fingerprint database based spectrum sensing in cognitive radio network[J]. Application of Electronic Technique，2021,，47(7)：69-73.
Wireless fingerprint database based spectrum sensing in cognitive radio network
Yan Tingqiu,，Shen Bin,，Wang Xin
School of Communication and Information Engineering，Chongqing University of Posts and Telecommunications,， Chongqing 400065,，China
Abstract： This paper proposes a spectrum sensing scheme based on wireless fingerprint database. Firstly, in the target geographic area covered by the cellular cognitive radio network(CCRN), the secondary user equipment(SUE) collects a large number of spectrum observation data, and processes the spectrum observation data based on various machine learning algorithms to obtain the transmission mode of primary user transmit(PUT) on the authorized spectrum. Then, in the different transmission modes of put, the geographic location area is divided, and the grid label is obtained based on the spatial distance calculation method, and the wireless fingerprint database is established. Finally, the secondary user equipment(SUE) with sensing needs obtains its wireless fingerprint according to the time of arrival(TOA) estimation of the base station(BS) reference signal, and then compares it with the wireless fingerprint in the wireless fingerprint database(WFPD) to determine its geographical location, and thus to determine the access tag of authorized frequency band. Simulations verify that the proposed scheme increases the spectrum access opportunity under the premise of minimizing the interference to the primary user.
Key words : spectrum sensing；wireless fingerprint database(WFPD),；machine learning,；cell cognitive radio
