認(rèn)知無(wú)線電頻譜感知估計(jì)時(shí)延的隨機(jī)規(guī)劃優(yōu)化算法

姜顯揚(yáng); 夏凱莉; 唐向宏

doi:10.11999/JEIT170122

認(rèn)知無(wú)線電頻譜感知估計(jì)時(shí)延的隨機(jī)規(guī)劃優(yōu)化算法

doi: 10.11999/JEIT170122

基金項(xiàng)目:

浙江省科技計(jì)劃公益技術(shù)應(yīng)用研究項(xiàng)目(2017C31055)，電子科學(xué)與技術(shù)浙江省一流學(xué)科A類(lèi)資助

計(jì)量
- 文章訪問(wèn)數(shù): 1471
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- 被引次數(shù): 0
出版歷程
- 收稿日期: 2017-02-15
- 修回日期: 2017-08-17
- 刊出日期: 2017-11-19

Stochastic Approach Optimization Algorithm for Cognitive Radio Spectrum Sensing Estimation Delay Time

Funds:

Zhejiang Province Science and Technology Plan Public Welfare Technology Application Research Project (2017C31055), 2017 Open Research Foundation of Electronics Science and Technology for Top-ranking Discipline A Class in Zhejiang Province

摘要

摘要: 為了提高認(rèn)知無(wú)線電網(wǎng)絡(luò)的頻譜利用率，該文提出對(duì)認(rèn)知無(wú)線網(wǎng)絡(luò)頻譜感知估計(jì)時(shí)間進(jìn)行優(yōu)化。如果頻譜感知時(shí)間較長(zhǎng)，一方面對(duì)信道參數(shù)的估計(jì)更準(zhǔn)確，會(huì)減小對(duì)授權(quán)用戶的干擾并提高認(rèn)知用戶的吞吐量；另一方面，數(shù)據(jù)傳輸時(shí)間相應(yīng)縮短，使系統(tǒng)吞吐量減小，這時(shí)存在一個(gè)最優(yōu)的感知時(shí)間使得系統(tǒng)吞吐量最大。該文認(rèn)為子頻段的信道狀態(tài)信息服從指數(shù)分布，故提出隨機(jī)規(guī)劃的方法，對(duì)認(rèn)知無(wú)線網(wǎng)絡(luò)頻譜感知估計(jì)時(shí)間進(jìn)行優(yōu)化運(yùn)算。計(jì)算機(jī)仿真結(jié)果表明，該算法是切實(shí)有效的，具有一定的工程應(yīng)用價(jià)值。
- 認(rèn)知無(wú)線網(wǎng)絡(luò) /
- 頻譜感知 /
- 隨機(jī)規(guī)劃
Abstract: In order to improve the spectrum efficiency in the cognitive radio networks, the optimization algorithm of the spectrum sensing estimation time is presented. The longer sensing time will bring two aspects of the consequences. On the one hand, the channel parameters are estimated more accurate so as to reduce the interference to the authorized users and to improve the throughput of the cognitive users. On the other hand, it shortens the transmission time so as to decease the system throughput. In this time, it exists an optimal sensing time to maximize the throughput. It is considered that the channel state information of sub-bands is exponentially distributed, so a stochastic programming method is proposed to optimize the sensing time of the cognitive radio networks. The computer simulation results show that the algorithm is effective and has a certain engineering application value.
- Cognitive radio networks /
- Spectrum sensing /
- Stochastic approach

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參考文獻(xiàn)(18)

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