機(jī)會式頻譜接入的理論與應(yīng)用研究
[Abstract]:Opportunistic spectrum access, as a new technology that can improve the spectrum utilization rate, has received extensive attention from the academic community and the industry in recent years. In an opportunistic spectrum access policy, that cognitive us opportunistic access to the idle spectrum when the authorized spectrum is idle. When the authorized user returns, the cognitive user needs to exit the authorization channel immediately to avoid interference to the authorized user. In this paper, the spectrum-aware scheduling problem in opportunistic spectrum access is studied, and the opportunistic spectrum access in the cellular network and the femtocell network should be discussed. Use. The main content package of the paper in the wireless network based on opportunistic spectrum access, when a plurality of authorized users of different service types are present and the cognitive user experiences the time-varying channel, Degree problem. We present a new information-based, information-based, spectrum-aware tone. in the strategy, we use the Markov chain to predict the channel state information of the cognitive user, and use the service characteristic information of the authorized user to predict that the authorized channel is idle in the next frame the cognitive base station schedules the cognitive users to perceive and transmit on different authorized channels in order to maximize the cognitive radio network through the prediction information, in that spectrum-aware scheduling strategy, we also consider the two important network indexes of network throughput and fairness, and describe the scheduling strategy as an excellent The question of the optimization is then determined by the Hungarian algorithm. The proposed spectrum-aware scheduling strategy based on the information prediction can balance the two indexes of network throughput and fairness, while ensuring the fairness among the cognitive users, and obtaining a higher network. throughput. In a cellular network based on opportunistic spectrum access, we study how to model the access process and to analyze the service level of the network (G S) Performance. First, we give a cellular network based on opportunistic spectrum access network architecture. For non-jump and jump modes, we propose two opportunistic frequencies for cellular networks the spectrum access strategy is then used to model the opportunistic spectrum access policy in the cellular network by building a three-dimensional continuous markov chain to analyze the cellular network based on the opportunistic spectrum access, GS performance. Based on the obtained GS performance parameters, we analyzed the spectrum utilization rate of the cellular network based on the opportunistic spectrum access and the given target GS performance index, and the cellular network based on the opportunistic spectrum access can carry the industry. In a femtocell network based on opportunistic spectrum access, a hybrid access mode is studied The incentive mechanism in the formula. We propose a dynamic spectrum allocation method to excite the wireless carrier and the femtocell. In the method, in order to excite the femtocell to share a limited resource to serve the macro user, the macro base station will allocate a portion of the spectrum resources that should have been allocated to the indoor macro user, The femtocell base station can obtain more spectrum resources to improve the femtocell base station. We have designed a protocol to complete the dynamic spectrum allocation method proposed by us, and describe the resource allocation problem in the femtocell base station as an optimization problem. A method, an operator and a femtocell user to obtain an optimal solution by using the dynamic spectrum allocation proposed by us on the one hand, the macro base station can save the communication quality of the macro user, in a further aspect, that femtocell base station is able to obtain more spectral resources to improve the femtocell
【學(xué)位授予單位】:華中科技大學(xué)
【學(xué)位級別】:博士
【學(xué)位授予年份】:2014
【分類號】:TN925
【共引文獻(xiàn)】
相關(guān)期刊論文 前10條
1 江帆;盧光躍;;認(rèn)知無線網(wǎng)絡(luò)中基于業(yè)務(wù)區(qū)分的自適應(yīng)MAC協(xié)議[J];電訊技術(shù);2013年07期
2 姚富強(qiáng);張建照;柳永祥;趙杭生;;動態(tài)頻譜管理的發(fā)展現(xiàn)狀及應(yīng)對策略分析[J];電波科學(xué)學(xué)報;2013年04期
3 李哲;柏鵬;檀蕊蓮;姚戰(zhàn)宏;林晉福;盧虎;;基于雙門限能量檢測的自適應(yīng)協(xié)作頻譜感知[J];電視技術(shù);2013年17期
4 吳呈瑜;何晨;蔣鈴鴿;;認(rèn)知無線網(wǎng)絡(luò)中的頻譜切換性能分析[J];電子與信息學(xué)報;2013年11期
5 王慧強(qiáng);王振東;;認(rèn)知無線網(wǎng)絡(luò)安全頻譜感知技術(shù)研究進(jìn)展[J];大慶師范學(xué)院學(xué)報;2013年06期
6 付亞楠;楊守義;白文娟;;主用戶活躍性對新的認(rèn)知無線電系統(tǒng)容量的影響[J];電視技術(shù);2013年23期
7 李文;鄧微;;認(rèn)知無線電中頻譜分配技術(shù)研究[J];廣東通信技術(shù);2013年12期
8 姚文貴;;CR網(wǎng)絡(luò)中的主用戶活動檢測與跟蹤算法研究[J];電子測量技術(shù);2014年02期
9 肖曉飛;賈穎;;認(rèn)知計算在網(wǎng)絡(luò)安全態(tài)勢感知中的應(yīng)用研究[J];大眾科技;2014年02期
10 趙知勁;胡偉康;王海泉;;基于雙特征值極限分布的合作頻譜感知算法[J];電信科學(xué);2014年04期
相關(guān)會議論文 前3條
1 Feng Peilun;Zhang Jianzhao;Zhao Hangsheng;Liu Renfu;Li Dali;;A Spectrum Pooling-based Algorithm in Spectrum Aggregation and Allocation[A];2012年計算機(jī)應(yīng)用與系統(tǒng)建模國際會議論文集[C];2012年
2 Xin WANG;Zhi-gang LIU;Jin-kuan WANG;Bin WANG;Xi HU;;Spectrum Sensing for Cognitive Network Based on Principal Component Analysis and Random Forest[A];第26屆中國控制與決策會議論文集[C];2014年
3 崔宇;王志;史名霄;;基于貝葉斯博弈雙向拍賣的認(rèn)知無線電頻譜分配研究[A];2014全國無線及移動通信學(xué)術(shù)大會論文集[C];2014年
相關(guān)博士學(xué)位論文 前10條
1 李志杰;無線局域網(wǎng)無線資源管理及跨層設(shè)計研究[D];西南交通大學(xué);2012年
2 劉然;移動互聯(lián)網(wǎng)環(huán)境下高效流媒體分發(fā)關(guān)鍵技術(shù)研究[D];華中科技大學(xué);2013年
3 黃麗;認(rèn)知無線電網(wǎng)絡(luò)中感知策略和頻譜共享技術(shù)研究[D];華中科技大學(xué);2013年
4 任德鋒;下一代無線通信中高速Turbo譯碼和協(xié)作頻譜感知研究[D];西安電子科技大學(xué);2013年
5 蔡雪蓮;無線Ad Hoc網(wǎng)絡(luò)接入和路由關(guān)鍵技術(shù)研究[D];西安電子科技大學(xué);2013年
6 陳濤;無線網(wǎng)絡(luò)的物理層安全問題研究[D];華南理工大學(xué);2013年
7 劉允;認(rèn)知無線電頻譜感知及資源分配技術(shù)研究[D];電子科技大學(xué);2013年
8 呂守濤;無線頻譜環(huán)境認(rèn)知技術(shù)研究[D];電子科技大學(xué);2013年
9 安春燕;認(rèn)知無線網(wǎng)絡(luò)資源管理若干關(guān)鍵技術(shù)研究[D];北京郵電大學(xué);2013年
10 張曉亮;無線協(xié)作通信系統(tǒng)中資源管理和優(yōu)化技術(shù)研究[D];北京郵電大學(xué);2013年
相關(guān)碩士學(xué)位論文 前10條
1 孫晨;結(jié)合定位的新型頻譜檢測技術(shù)研究[D];吉林大學(xué);2013年
2 時浩;基于認(rèn)知無線網(wǎng)狀網(wǎng)的媒體接入控制技術(shù)研究[D];北方工業(yè)大學(xué);2013年
3 張杰;車載自組網(wǎng)認(rèn)知區(qū)分路由協(xié)議研究[D];大連海事大學(xué);2013年
4 王中偉;無線通信系統(tǒng)中基于Markov模型的信道分配研究[D];新疆大學(xué);2013年
5 劉京川;基于稀疏度檢測的寬帶壓縮頻譜感知方法研究[D];北京郵電大學(xué);2013年
6 胡畔;認(rèn)知無線電中基于能量檢測的頻譜感知技術(shù)研究[D];北京郵電大學(xué);2013年
7 梁芮;基于D-S證據(jù)理論的認(rèn)知無線電協(xié)作頻譜感知算法研究[D];西南交通大學(xué);2013年
8 白文娟;基于認(rèn)知無線電的協(xié)作頻譜感知研究[D];鄭州大學(xué);2013年
9 陳亞琨;基于感知信息量化的判決融合算法研究[D];鄭州大學(xué);2013年
10 高麗;基于博弈論的動態(tài)頻譜共享算法研究[D];鄭州大學(xué);2013年
,本文編號:2508011
本文鏈接:http://sikaile.net/kejilunwen/wltx/2508011.html