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認(rèn)知應(yīng)急通信系統(tǒng)的頻譜分配技術(shù)研究

發(fā)布時(shí)間:2018-04-29 20:58

  本文選題:認(rèn)知無(wú)線電 + 應(yīng)急通信; 參考:《西安電子科技大學(xué)》2015年碩士論文


【摘要】:針對(duì)地震、洪災(zāi)、海嘯等臨時(shí)多變的自然災(zāi)害以及緊急棘手的城市突發(fā)事件,作為一種簡(jiǎn)易有效的臨時(shí)通信手段,應(yīng)急通信系統(tǒng)的需求和發(fā)展更是迫在眉睫。然而,應(yīng)急通信系統(tǒng)的惡劣環(huán)境以及復(fù)雜場(chǎng)景,嚴(yán)重影響了應(yīng)急通信系統(tǒng)的服務(wù)質(zhì)量,制約著應(yīng)急通信的發(fā)展。認(rèn)知無(wú)線電技術(shù)具有較強(qiáng)的頻譜感知能力和系統(tǒng)重構(gòu)能力,運(yùn)用認(rèn)知無(wú)線電技術(shù)可以較好的提升應(yīng)急通信系統(tǒng)頻譜資源的利用效率,增強(qiáng)應(yīng)急通信系統(tǒng)在惡劣環(huán)境下的智能性與頑健性,極大的提高了應(yīng)急通信系統(tǒng)的服務(wù)質(zhì)量。本文從認(rèn)知應(yīng)急場(chǎng)景中的有限可用頻譜高效合理利用出發(fā),介紹了認(rèn)知無(wú)線電在應(yīng)急通信系統(tǒng)中應(yīng)用的特點(diǎn),并對(duì)認(rèn)知應(yīng)急通信系統(tǒng)的設(shè)計(jì)做了大量的研究,形成了適用于應(yīng)急特殊環(huán)境的一種基于認(rèn)知無(wú)線電技術(shù)的應(yīng)急通信系統(tǒng)方案,并給出了具體的物理網(wǎng)絡(luò)結(jié)構(gòu)。基于這種設(shè)計(jì),給出了該系統(tǒng)認(rèn)知網(wǎng)絡(luò)的體系架構(gòu)和業(yè)務(wù)流程,并說(shuō)明了模塊中各個(gè)應(yīng)用層的功能作用,對(duì)系統(tǒng)在應(yīng)急場(chǎng)景的部分應(yīng)用做了簡(jiǎn)要的介紹。在本文提出的認(rèn)知應(yīng)急通信系統(tǒng)中,為解決災(zāi)區(qū)不可抗的環(huán)境干擾和救援分隊(duì)?wèi)?yīng)急通信子系統(tǒng)間干擾問(wèn)題,基于干擾溫度模型給出了頻譜需求分級(jí)概念,以更好表示頻譜的差異性。并將頻譜需求分級(jí)應(yīng)用到圖論著色模型,提出了基于改進(jìn)圖論著色模型的應(yīng)急通信系統(tǒng)頻譜分配算法。該算法能夠根據(jù)子系統(tǒng)的頻譜需求情況,在規(guī)避外界環(huán)境干擾的條件下,在應(yīng)急通信各子系統(tǒng)間無(wú)干擾地分配滿足業(yè)務(wù)QoS的頻譜,為應(yīng)急系統(tǒng)內(nèi)各子系統(tǒng)提供滿足最大化需求的頻譜分配。仿真結(jié)果表明,所提算法能針對(duì)各認(rèn)知子系統(tǒng)需求有效地分配頻譜,以適應(yīng)各子系統(tǒng)業(yè)務(wù)對(duì)頻譜資源的需要,比原有CSGC算法能更好地滿足認(rèn)知應(yīng)急通信系統(tǒng)內(nèi)各子系統(tǒng)需求。
[Abstract]:As a simple and effective temporary means of communication, the demand and development of emergency communication system is urgent for earthquake, flood, tsunami and other temporary and changeable natural disasters as well as emergency and thorny urban emergencies. However, the bad environment and complex scene of emergency communication system seriously affect the quality of service of emergency communication system and restrict the development of emergency communication system. Cognitive radio technology has strong spectrum sensing ability and system reconstruction ability. Using cognitive radio technology can improve the utilization efficiency of spectrum resources in emergency communication system. Enhancing the intelligence and robustness of the emergency communication system in the harsh environment greatly improves the quality of service of the emergency communication system. Based on the efficient and reasonable utilization of the limited available spectrum in the cognitive emergency scene, this paper introduces the characteristics of the application of cognitive radio in the emergency communication system, and makes a lot of research on the design of the cognitive emergency communication system. A scheme of emergency communication system based on cognitive radio technology is formed, and the physical network structure is given. Based on this design, the architecture and business process of the cognitive network of the system are given, and the function of each application layer in the module is explained, and the application of the system in the emergency scene is briefly introduced. In the cognitive emergency communication system proposed in this paper, in order to solve the problem of the unreachable environmental interference and the interference between the emergency communication subsystem of the rescue team, the concept of spectrum requirement classification is given based on the interference temperature model. In order to better represent the difference in the spectrum. The spectrum requirement classification is applied to the graph theory coloring model, and a spectrum allocation algorithm based on the improved graph theory coloring model is proposed. According to the spectrum requirement of the subsystem, the algorithm can allocate the spectrum satisfying the service QoS without interference under the condition of circumventing the external environment interference. It provides the spectrum allocation to meet the maximum demand for each subsystem in the emergency system. The simulation results show that the proposed algorithm can effectively allocate the spectrum according to the needs of each cognitive subsystem, so as to meet the needs of spectrum resources of each subsystem service, and can better meet the needs of each subsystem in the cognitive emergency communication system than the original CSGC algorithm.
【學(xué)位授予單位】:西安電子科技大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2015
【分類(lèi)號(hào)】:TN914

【參考文獻(xiàn)】

相關(guān)期刊論文 前1條

1 何新平;劉軍;;認(rèn)知網(wǎng)絡(luò)中基于圖論著色模型的頻譜分配算法的分析[J];民營(yíng)科技;2009年04期



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