本文關(guān)鍵詞：面向5G的認(rèn)知D2D通信無(wú)線資源分配及通信模式研究　出處：《昆明理工大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 5G D2D 認(rèn)知無(wú)線電 認(rèn)知D2D 競(jìng)價(jià)機(jī)制 突發(fā)流量模型

【摘要】：隨著信息技術(shù)的發(fā)展,智能終端不斷普及,移動(dòng)網(wǎng)絡(luò)的數(shù)據(jù)流量獲得了爆炸性的增長(zhǎng),迫切需要下一代無(wú)線通信技術(shù)5G的實(shí)現(xiàn)來(lái)滿足目前用戶所需。為了適應(yīng)日益緊張的無(wú)線頻譜資源,如何增加通信系統(tǒng)的容量,如何提升用戶體驗(yàn),如何提高頻譜資源的利用率成為目前研究的關(guān)鍵點(diǎn)。D2D(Device to Device)通信技術(shù)作為面向5G的關(guān)鍵技術(shù),具有提高系統(tǒng)通信性能、提升用戶體驗(yàn)、擴(kuò)展蜂窩通信等優(yōu)勢(shì),成為了目前研究的重點(diǎn)及熱點(diǎn)。但D2D通信在帶來(lái)便利的同時(shí),也伴隨而來(lái)的會(huì)產(chǎn)生如何進(jìn)行通信模式選擇、如何進(jìn)行資源分配等問題。而認(rèn)知無(wú)線電(Cognitive Radio,CR)技術(shù)能夠?qū)崟r(shí)的與外界環(huán)境進(jìn)行交互,可以智能感知周圍環(huán)境的頻譜資源變化,從而為認(rèn)知無(wú)線電用戶選擇最適合的通信頻段,實(shí)現(xiàn)與主用戶的頻譜共享。所以D2D通信技術(shù)和認(rèn)知無(wú)線電技術(shù)這兩種通信技術(shù)的出現(xiàn)被認(rèn)作是處理目前網(wǎng)絡(luò)通信瓶頸的關(guān)鍵技術(shù),將認(rèn)知無(wú)線電技術(shù)與D2D通信相結(jié)合,可以有效解決目前通信過程中的瓶頸問題。本文首先介紹了下一代無(wú)線通信技術(shù)5G,隨后過度到5G的關(guān)鍵技術(shù)D2D通信技術(shù),并從D2D通信模式、D2D通信所面臨的挑戰(zhàn)等幾個(gè)方而對(duì)D2D通信技術(shù)進(jìn)行了較詳細(xì)的介紹。隨后介紹了認(rèn)知無(wú)線電技術(shù)及認(rèn)知無(wú)線技術(shù)里的關(guān)鍵技術(shù)。第三章針對(duì)用戶資源利用率低及保障用戶服務(wù)質(zhì)量的問題。采用競(jìng)價(jià)機(jī)制,面向無(wú)線蜂窩網(wǎng)絡(luò),將認(rèn)知無(wú)線電技術(shù)與D2D技術(shù)結(jié)合,本章提出一種分布式D2D功率分配方法。并通過仿真驗(yàn)證了該方法與傳統(tǒng)方法相比的有效性。第四章將認(rèn)知無(wú)線電技術(shù)應(yīng)用于突發(fā)流量模型中,給D2D用戶進(jìn)行自適應(yīng)模式選擇,極大地利用了頻譜資源,提高D2D通信效率。本章基于認(rèn)知突發(fā)流量模型系統(tǒng)的信道流量負(fù)載,對(duì)D2D通信提出了一種自適應(yīng)模式選擇方法。并通過仿真驗(yàn)證了該方法與傳統(tǒng)方法相比的有效性。第五章對(duì)本文所述內(nèi)容做了總結(jié)并對(duì)以后的研究做了展望,雖然本文得到一定的研究結(jié)論,但有的地方還存在不妥,本章對(duì)不足之處提出了改進(jìn)計(jì)劃。最后對(duì)下一代無(wú)線通信技術(shù)做了展望,展望了下一代無(wú)線通信技術(shù)實(shí)現(xiàn)的場(chǎng)景及實(shí)現(xiàn)之后的美好愿景。
[Abstract]:With the development of information technology, intelligent terminals are becoming more and more popular, and the data flow of mobile network is increasing explosively. The next generation wireless communication technology 5G is urgently needed to meet the needs of current users. In order to adapt to the increasingly tight wireless spectrum resources, how to increase the capacity of the communication system, how to improve the user experience. How to improve the utilization ratio of spectrum resources has become the key point of current research. D2DU device to device is the key technology for 5G. With the advantages of improving system communication performance, improving user experience and expanding cellular communication, it has become the focus and hotspot of current research. However, D2D communication brings convenience at the same time. There are also problems such as how to choose the communication mode and how to allocate the resources. Cognitive radio cognitive Radio. CR-technology can interact with the outside environment in real time, and can intelligently perceive the changes of spectrum resources in the surrounding environment, thus selecting the most suitable communication frequency band for cognitive radio users. So the emergence of D2D communication technology and cognitive radio technology is regarded as the key technology to deal with the bottleneck of network communication. The combination of cognitive radio technology and D2D communication can effectively solve the bottleneck problem in the current communication process. Firstly, the next generation wireless communication technology 5G is introduced in this paper. Then over to 5G key technology D2D communication technology and from D2D communication mode. This paper introduces D2D communication technology in detail, then introduces the key technologies of cognitive radio technology and cognitive wireless technology. Chapter 3 aims at users' resource benefits. Low usage rate and protection of customer service quality. Competitive pricing mechanism is adopted. For wireless cellular networks, cognitive radio technology is combined with D2D technology. In this chapter, a distributed D2D power allocation method is proposed, and the effectiveness of this method compared with the traditional method is verified by simulation. Chapter 4th applies cognitive radio technology to burst traffic model. Adaptive mode selection for D2D users greatly utilizes spectrum resources to improve D2D communication efficiency. This chapter is based on the cognitive burst traffic model system channel traffic load. An adaptive mode selection method for D2D communication is proposed, and the effectiveness of the method compared with the traditional method is verified by simulation. Chapter 5th summarizes the content of this paper and prospects the future research. Although this paper has some conclusions, but there are still some deficiencies, this chapter puts forward a plan to improve the shortcomings. Finally, the next generation of wireless communication technology is prospected. The scenario of the next generation wireless communication technology and the future vision are prospected.
【學(xué)位授予單位】：昆明理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TN929.5

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