認知無線電關鍵技術研究
發(fā)布時間：2019-05-10 12:58
【摘要】：隨著無線通信技術的發(fā)展和廣泛應用,無線頻譜資源的稀缺己成為制約無線通信技術發(fā)展的主要瓶頸。如何提高無線頻譜資源的利用率成為了現(xiàn)在無線通信技術迫在眉睫的問題。認知無線電是一種智能的無線通信技術,可通過與周圍的工作環(huán)境交互而改變其工作參數(shù),具有自適應的頻譜接入能力,在未來的無線通信和智能電網(wǎng)通信領域具有廣闊的應用前景。本文圍繞認知無線電技術中的頻譜感知、頻譜分配和路由協(xié)議三個方面的關鍵技術進行了分析和研究,主要內容及成果如下： 針對協(xié)作網(wǎng)絡和認知網(wǎng)絡共存的場景,提出了一種新型的頻譜檢測模型—授權用戶在協(xié)作網(wǎng)絡環(huán)境下的認知用戶頻譜檢測模型。分析推導了新模型的理論檢測概率和虛警概率；分析比較了新檢測模型在不同信道條件下的檢測性能。在此基礎上,提出了該場景下的最佳檢測時間優(yōu)化模型,仿真驗證了該模型對優(yōu)化認知用戶檢測時間的有效性。仿真結果表明,在協(xié)作網(wǎng)絡和認知網(wǎng)絡共存的場景下,本文提出的新型檢測模型在各種不同的衰落信道條件下,其檢測性能均優(yōu)于傳統(tǒng)的能量檢測模型。尤其在衰落信道條件下,新模型對檢測性能的改善程度更加明顯。同時,新模型的檢測性能會隨著協(xié)作網(wǎng)絡中中繼節(jié)點放大增益的提高而提高。另外,在該場景下提出的最佳檢測時間優(yōu)化模型能有效地改善認知用戶的頻譜檢測時間。 針對顏色敏感圖論著色CSGC頻譜分配算法中時間開銷隨著認知用戶和可用頻譜資源數(shù)量的增多而會增大的問題,提出了基于MMR準則的CSGC改進算法,通過引進效益等級參數(shù),設計了兼顧瓶頸用戶收益和頻譜分配公平性的新標簽規(guī)則,結合并行算法的思想,實現(xiàn)了MMR準則下的快速頻譜分配算法。仿真結果表明,該改進算法能大幅度降低傳統(tǒng)CSGC頻譜分配算法的時間開銷,并且在認知無線網(wǎng)絡中的可用頻譜數(shù)量增多的情況下,相應的時間開銷不受影響。同時,在認知用戶平均收益和頻譜分配的公平性方面,改進算法的性能與傳統(tǒng)CSGC算法中的CMIN準則相比得到了一定的改善。該算法對適應認知無線網(wǎng)絡的時變性具有重要意義。 針對SEARCH路由算法在前向避免區(qū)域中因頻繁信道切換而造成較大的端到端遲延和路由不穩(wěn)定問題,提出了一種基于地理位置和前向反饋的認知路由選擇算法,通過引入信息反饋機制和改進頻譜切換時的優(yōu)化策略,實現(xiàn)了最佳下一跳路由優(yōu)化選擇。仿真結果表明,本文提出的改進路由選擇算法在認知網(wǎng)絡中存在前向避免區(qū)域的場景下的路由性能明顯優(yōu)于傳統(tǒng)的SEARCH路由算法。同時,提出了認知無線網(wǎng)絡中端到端路由遲延的性能評估模型,并對改進算法和傳統(tǒng)SEARCH路由協(xié)議端到端的遲延性能和認知節(jié)點的能量消耗進行了分析比較,實驗結果表明,改進算法的端到端的遲延性能和認知節(jié)點的能量消耗都優(yōu)于傳統(tǒng)SEARCH路由算法的性能。
[Abstract]:With the development and wide application of wireless communication technology, the scarcity of wireless spectrum resources has become the main bottleneck in the development of wireless communication technology. How to improve the utilization of the radio frequency spectrum resources becomes an urgent problem in the present wireless communication technology. The cognitive radio is a kind of intelligent wireless communication technology, can change its working parameters by interacting with the surrounding working environment, has the adaptive spectrum access capability, and has a wide application prospect in the future wireless communication and the intelligent power grid communication field. In this paper, the key technologies of the three aspects of spectrum sensing, frequency spectrum allocation and routing protocol in cognitive radio technology are analyzed and studied. The main contents and results are as follows: A field for co-existence of a collaborative network and a cognitive network In this paper, a new type of spectrum detection model is proposed, which is used to detect the frequency spectrum of the cognitive user in the cooperative network environment. In this paper, the theoretical detection probability and the false alarm probability of the new model are derived, and the detection of the new detection model under different channel conditions is compared. On this basis, the optimal detection time optimization model under this scene is put forward, and the simulation results show that the model can be used to optimize the detection time of the cognitive user. The simulation results show that under the scene of co-existence of the cooperative network and the cognitive network, the new detection model proposed in this paper is superior to the traditional energy detection model under various fading channel conditions. And especially in the fading channel condition, the improvement of the new model to the detection performance is more clear. And the detection performance of the new model can be raised with the increase of the amplification gain of the relay node in the cooperative network. High. In addition, the optimal detection time optimization model proposed in this scenario can effectively improve the spectrum detection of cognitive users In this paper, the time cost in the color sensitive graph theory coloring CSGC spectrum allocation algorithm is increased with the increase of the number of cognitive users and available frequency spectrum resources. The improved algorithm of the CGC based on the MMR criterion is put forward. The paper designs a new label rule that takes into account the benefits of the bottleneck user and the fairness of the spectrum distribution, and combines the thought of the parallel algorithm to realize the fast frequency spectrum distribution under the MMR. The simulation results show that the improved algorithm can greatly reduce the time overhead of the traditional CGC spectrum allocation algorithm, and in the case of the increase of the available frequency spectrum in the cognitive radio network, the corresponding time cost does not Affected. At the same time, in terms of the fairness of the average income of the cognitive users and the distribution of the spectrum, the performance of the improved algorithm is compared with the CMIN criterion in the traditional CGC algorithm. The algorithm can be used to adapt to the time-changing of the cognitive radio network. To make sense, a cognitive approach based on geographic location and forward feedback is proposed for the problem of end-to-end delay and routing instability caused by frequent channel switching in the forward-to-avoid area for the SEARCH routing algorithm. By introducing the information feedback mechanism and improving the optimization strategy at the time of spectrum switching, the best next-hop path is achieved by the selection algorithm. The simulation results show that the improved routing algorithm proposed in this paper is superior to the traditional SEARC in the presence of the forward avoidance zone in the cognitive network In this paper, the performance evaluation model of the end-to-end routing delay of the cognitive radio network is proposed, and the delay performance of the end-to-end and the energy consumption of the cognitive node in the improved algorithm and the traditional SEARCH routing protocol are analyzed and compared. The results show that the end-to-end delay performance of the improved algorithm and the energy consumption of the cognitive node are superior to the traditional SEARCH route
【學位授予單位】：華北電力大學
【學位級別】：博士
【學位授予年份】：2014
【分類號】：TN925
[Abstract]:With the development and wide application of wireless communication technology, the scarcity of wireless spectrum resources has become the main bottleneck in the development of wireless communication technology. How to improve the utilization of the radio frequency spectrum resources becomes an urgent problem in the present wireless communication technology. The cognitive radio is a kind of intelligent wireless communication technology, can change its working parameters by interacting with the surrounding working environment, has the adaptive spectrum access capability, and has a wide application prospect in the future wireless communication and the intelligent power grid communication field. In this paper, the key technologies of the three aspects of spectrum sensing, frequency spectrum allocation and routing protocol in cognitive radio technology are analyzed and studied. The main contents and results are as follows: A field for co-existence of a collaborative network and a cognitive network In this paper, a new type of spectrum detection model is proposed, which is used to detect the frequency spectrum of the cognitive user in the cooperative network environment. In this paper, the theoretical detection probability and the false alarm probability of the new model are derived, and the detection of the new detection model under different channel conditions is compared. On this basis, the optimal detection time optimization model under this scene is put forward, and the simulation results show that the model can be used to optimize the detection time of the cognitive user. The simulation results show that under the scene of co-existence of the cooperative network and the cognitive network, the new detection model proposed in this paper is superior to the traditional energy detection model under various fading channel conditions. And especially in the fading channel condition, the improvement of the new model to the detection performance is more clear. And the detection performance of the new model can be raised with the increase of the amplification gain of the relay node in the cooperative network. High. In addition, the optimal detection time optimization model proposed in this scenario can effectively improve the spectrum detection of cognitive users In this paper, the time cost in the color sensitive graph theory coloring CSGC spectrum allocation algorithm is increased with the increase of the number of cognitive users and available frequency spectrum resources. The improved algorithm of the CGC based on the MMR criterion is put forward. The paper designs a new label rule that takes into account the benefits of the bottleneck user and the fairness of the spectrum distribution, and combines the thought of the parallel algorithm to realize the fast frequency spectrum distribution under the MMR. The simulation results show that the improved algorithm can greatly reduce the time overhead of the traditional CGC spectrum allocation algorithm, and in the case of the increase of the available frequency spectrum in the cognitive radio network, the corresponding time cost does not Affected. At the same time, in terms of the fairness of the average income of the cognitive users and the distribution of the spectrum, the performance of the improved algorithm is compared with the CMIN criterion in the traditional CGC algorithm. The algorithm can be used to adapt to the time-changing of the cognitive radio network. To make sense, a cognitive approach based on geographic location and forward feedback is proposed for the problem of end-to-end delay and routing instability caused by frequent channel switching in the forward-to-avoid area for the SEARCH routing algorithm. By introducing the information feedback mechanism and improving the optimization strategy at the time of spectrum switching, the best next-hop path is achieved by the selection algorithm. The simulation results show that the improved routing algorithm proposed in this paper is superior to the traditional SEARC in the presence of the forward avoidance zone in the cognitive network In this paper, the performance evaluation model of the end-to-end routing delay of the cognitive radio network is proposed, and the delay performance of the end-to-end and the energy consumption of the cognitive node in the improved algorithm and the traditional SEARCH routing protocol are analyzed and compared. The results show that the end-to-end delay performance of the improved algorithm and the energy consumption of the cognitive node are superior to the traditional SEARCH route
【學位授予單位】：華北電力大學
【學位級別】：博士
【學位授予年份】：2014
【分類號】：TN925
【參考文獻】
相關期刊論文 前10條
1 王欽輝;葉保留;田宇;李文中;陸桑璐;陳道蓄;;認知無線電網(wǎng)絡中頻譜分配算法[J];電子學報;2012年01期
2 廖楚林;陳R，
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