【摘要】：隨著無線通信服務的不斷普及,人們對服務的需求量也在不斷增長,頻譜資源的短缺以及傳統(tǒng)靜態(tài)頻譜接入技術的限制問題也因此變的更加突出。在這樣一個頻率資源異常珍貴的時代,如何滿足額外的業(yè)務量需求,更加有效的使用原有頻譜資源,同時引入新的頻段,是現(xiàn)如今研究的熱點。認知無線電是為解決頻譜資源利用率低而發(fā)展的新興技術。本文以提高認知用戶的檢測性能并且降低干擾為目標,分別優(yōu)化了針對非合作式頻譜檢測的雙門限能量檢測優(yōu)化算法和改進了針對合作式頻譜檢測的聯(lián)盟構成博弈論算法。在單個認知用戶提高檢測性能方面,由于授權用戶在認知用戶感知階段回歸信道時認知用戶容易發(fā)生誤判而對授權用戶造成干擾,因此本文優(yōu)化了雙門限能量檢測算法。仿真結果表明,優(yōu)化后的算法相對于未優(yōu)化時的性能有顯著提升。在信噪比值恒定時,優(yōu)化算法分為10組的性能超過傳統(tǒng)算法性能的15.4%,在虛警概率值恒定時,優(yōu)化算法分10組的性能高出傳統(tǒng)算法性能的6.5%。在多個認知用戶共同提高檢測性能方面,由于認知用戶的感知時間不可忽略,并且會降低傳輸性能,所以本文研究了聯(lián)合頻譜感知與接入算法,并在該算法的基礎上,改進了聯(lián)盟構成博弈論算法。該算法允許認知用戶根據(jù)用于找到空閑信道的平均時間和能獲得的平均容量的總收益來決定是加入還是離開聯(lián)盟。聯(lián)盟內的成員通過互相合作,可以優(yōu)化他們整體的檢測和接入性能。通過對仿真結果分析,在認知用戶數(shù)量N=20時,這個性能優(yōu)勢相對于非合作情況下達到56.25%,在授權信道數(shù)量K=20時,聯(lián)盟構成博弈論算法的性能比非合作情況的性能高出63.5%。本文的研究可以為認知無線電頻譜檢測的進一步研究提供理論支持,同時也為認知無線電在5G方面的應用提供了相應參考。
[Abstract]:With the continuous popularization of wireless communication services, the demand for services is also growing, the shortage of spectrum resources and the limitations of traditional static spectrum access technology have become more prominent. In such an era of extremely precious frequency resources, how to meet the additional traffic requirements, more effective use of the original spectrum resources, and the introduction of new frequency bands, is now the focus of research. Cognitive radio is a new technology developed to solve the low efficiency of spectrum resources. In this paper, in order to improve the detection performance of cognitive users and reduce interference, the dual threshold energy detection optimization algorithm for non-cooperative spectrum detection and the alliance composition game theory algorithm for cooperative spectrum detection are optimized respectively. In order to improve the detection performance of a single cognitive user, the dual threshold energy detection algorithm is optimized because the authorized user is prone to misjudgment and interferes with the authorized user when the cognitive user returns to the channel in the cognitive user perception stage. The simulation results show that the performance of the optimized algorithm is significantly better than that of the unoptimized algorithm. When the signal-to-noise ratio (SNR) is constant, the performance of the optimization algorithm in 10 groups is 15.4% higher than that of the traditional algorithm, and when the false alarm probability is constant, the performance of the optimization algorithm in 10 groups is 6.5% higher than that of the traditional algorithm. In order to improve the detection performance of multiple cognitive users, because the perceptual time of cognitive users can not be ignored, and will reduce the transmission performance, this paper studies the joint spectrum sensing and access algorithm, and on the basis of this algorithm, improves the alliance composition game theory algorithm. The algorithm allows cognitive users to decide whether to join or leave the alliance according to the average time used to find the idle channel and the total benefit of the average capacity available. By working with each other, members of the alliance can optimize their overall detection and access performance. The simulation results show that the performance of the alliance game theory algorithm is 63.5% higher than that of the non-cooperative case when the number of cognitive users N 鈮，

本文編號：2501452