基于TOA指紋數(shù)據(jù)庫(kù)的小小區(qū)發(fā)現(xiàn)
本文選題:小小區(qū)發(fā)現(xiàn) + TOA ; 參考:《電信科學(xué)》2017年09期
【摘要】:在小小區(qū)大量部署的網(wǎng)絡(luò)場(chǎng)景下,用戶進(jìn)行異頻掃描所檢測(cè)的載波數(shù)相比傳統(tǒng)網(wǎng)絡(luò)部署場(chǎng)景會(huì)大量增加,因此用戶能耗也會(huì)相應(yīng)增加;诖,提出了一種基于宏小區(qū)參考信號(hào)到達(dá)時(shí)間(TOA)指紋數(shù)據(jù)庫(kù)的小小區(qū)發(fā)現(xiàn)策略,通過(guò)減少用戶不必要的異頻檢測(cè)操作,進(jìn)而減少用戶能量消耗,以解決用戶在進(jìn)行小小區(qū)發(fā)現(xiàn)時(shí)可能存在的能耗過(guò)高問(wèn)題。仿真表明,該方案相比現(xiàn)有的基于參考信號(hào)接收功率(RSSI)指紋數(shù)據(jù)庫(kù)方案,受噪聲影響程度低,小小區(qū)發(fā)現(xiàn)準(zhǔn)確率高。同時(shí),該方案能有效地限制處于高速移動(dòng)狀態(tài)的用戶進(jìn)行異頻檢測(cè),從而增大了用戶與小小區(qū)連接的成功率。
[Abstract]:In the network scenario with a large number of small cell deployments, the number of carriers detected by the user for different frequency scanning will increase significantly compared with the traditional network deployment scenario, so the energy consumption of the user will also increase accordingly.Based on this, a small cell discovery strategy based on macro cell reference signal arrival time (OAA) fingerprint database is proposed, which reduces the user's energy consumption by reducing unnecessary abnormal frequency detection operation.In order to solve the problem of excessive energy consumption in small area discovery.The simulation results show that the proposed scheme is less affected by noise than the existing fingerprint database scheme based on reference signal receiving power and the detection accuracy of small cell is high.At the same time, the scheme can effectively restrict users in high-speed mobile state to detect different frequencies, thus increasing the success rate of connection between users and small cells.
【作者單位】: 四川通信科研規(guī)劃設(shè)計(jì)有限責(zé)任公司;重慶郵電大學(xué)通信與信息工程學(xué)院;
【基金】:國(guó)家科技重大專項(xiàng)基金資助項(xiàng)目(No.2016ZX03001010-004)~~
【分類號(hào)】:TN929.5
【相似文獻(xiàn)】
相關(guān)期刊論文 前5條
1 陳楠,張明,吳陳,楊宏林;基于多級(jí)索引的指紋數(shù)據(jù)庫(kù)檢索算法研究[J];華東船舶工業(yè)學(xué)院學(xué)報(bào)(自然科學(xué)版);2004年04期
2 李曉紅,賀貴明,賈國(guó)穎;一種基于大型指紋數(shù)據(jù)庫(kù)的檢索方法[J];計(jì)算機(jī)工程與應(yīng)用;2002年19期
3 朱建新;陶志平;李成華;吳海標(biāo);;基于海量指紋數(shù)據(jù)庫(kù)檢索方法的研究[J];計(jì)算機(jī)系統(tǒng)應(yīng)用;2007年09期
4 劉鋒春;毛文斌;郭寶峰;于平;左燕;;嵌入式高光譜光譜指紋數(shù)據(jù)庫(kù)[J];杭州電子科技大學(xué)學(xué)報(bào);2014年03期
5 ;[J];;年期
相關(guān)碩士學(xué)位論文 前2條
1 李彩鸚;污水化學(xué)指紋數(shù)據(jù)庫(kù)的構(gòu)建及其在水污染溯源中的應(yīng)用[D];北京化工大學(xué);2013年
2 姜萌;基于運(yùn)動(dòng)建模的室內(nèi)可見(jiàn)光定位機(jī)制研究[D];北京郵電大學(xué);2015年
,本文編號(hào):1765591
本文鏈接:http://www.sikaile.net/kejilunwen/xinxigongchenglunwen/1765591.html