本文選題：認(rèn)知無線網(wǎng)絡(luò) + 資源管理��； 參考：《北京郵電大學(xué)》2014年博士論文

【摘要】：隨著信息技術(shù)和無線數(shù)據(jù)業(yè)務(wù)應(yīng)用的飛速發(fā)展,未來無線通信網(wǎng)絡(luò)面臨著無線資源短缺的挑戰(zhàn)。固定的頻譜分配方式雖然避免了網(wǎng)絡(luò)間干擾,但是由于用戶和業(yè)務(wù)分布的不均衡性和突發(fā)性等特性,其頻譜利用率很低。認(rèn)知無線電技術(shù)通過動(dòng)態(tài)的頻譜分配和利用,在不改變固有帶寬的條件下,實(shí)現(xiàn)了頻譜在時(shí)、頻、空維度上的多維復(fù)用,提高了頻譜的利用效率。認(rèn)知無線網(wǎng)絡(luò)通過無線資源管理技術(shù)對(duì)頻譜進(jìn)行動(dòng)態(tài)的接入和利用,以在不影響授權(quán)用戶正常通信的前提下為認(rèn)知網(wǎng)絡(luò)提供QoS支持。論文針對(duì)認(rèn)知無線網(wǎng)絡(luò)中資源管理的功率分配、用戶接入、以及鏈路維護(hù)等關(guān)鍵技術(shù)展開研究,提出了相應(yīng)的創(chuàng)新性解決機(jī)制,并通過詳細(xì)的理論分析和計(jì)算機(jī)仿真對(duì)所提算法的性能進(jìn)行了驗(yàn)證。論文的主要工作和創(chuàng)新點(diǎn)包括三個(gè)方面,總結(jié)如下： 1)在基于overlay頻譜共享方式的認(rèn)知無線網(wǎng)絡(luò)中,以最大化認(rèn)知網(wǎng)絡(luò)容量和認(rèn)知用戶滿意度為目標(biāo),提出了聯(lián)合功率分配和用戶調(diào)度的迭代算法。首先,分析頻譜感知技術(shù)對(duì)資源管理的影響,分析由旁瓣泄露帶來的網(wǎng)絡(luò)間干擾。其次,在認(rèn)知網(wǎng)絡(luò)接入點(diǎn)總功率約束和授權(quán)用戶干擾約束條件下,建立了以最大化認(rèn)知網(wǎng)絡(luò)容量和認(rèn)知用戶滿意度為目標(biāo)的多目標(biāo)凸優(yōu)化模型,并得到聯(lián)合功率分配和用戶調(diào)度的迭代算法。最后,通過仿真驗(yàn)證了迭代算法對(duì)網(wǎng)絡(luò)性能的提升。 2)在自組織認(rèn)知無線網(wǎng)絡(luò)中,為了保證認(rèn)知用戶持續(xù)發(fā)送MAC幀,設(shè)計(jì)了準(zhǔn)同步優(yōu)先級(jí)多信道接入方案。首先,基于認(rèn)知用戶之間的頻譜感知時(shí)間差,設(shè)計(jì)了具有異步競(jìng)爭(zhēng)接入模式的時(shí)間幀結(jié)構(gòu),認(rèn)知用戶在接入公共控制信道的過程中通過優(yōu)先級(jí)調(diào)整增強(qiáng)其接入能力。然后,在飽和認(rèn)知網(wǎng)絡(luò)中,用一階有限狀態(tài)離散馬爾科夫鏈模型對(duì)時(shí)隙存在狀態(tài)建模,并分析了該接入方案的系統(tǒng)吞吐量和接入時(shí)延性能。最后,在非飽和認(rèn)知無線網(wǎng)絡(luò)中,用3狀態(tài)離散馬爾科夫鏈模型對(duì)認(rèn)知用戶的存在狀態(tài)建模,并分析了基于修正準(zhǔn)同步優(yōu)先級(jí)多信道接入方案下的系統(tǒng)吞吐量,接入時(shí)延和連續(xù)接入概率等性能。 3)在自組織認(rèn)知無線網(wǎng)絡(luò)中,為增強(qiáng)認(rèn)知用戶的通信持續(xù)性,設(shè)計(jì)了一個(gè)具有鏈路維護(hù)功能的MAC協(xié)議。首先,設(shè)計(jì)了父頻譜表,得到了父頻譜表的生命周期,對(duì)父頻譜表中的子信道進(jìn)行了功能劃分,具有冗余和備份功能的子信道用于彌補(bǔ)由頻譜移動(dòng)性帶來的丟包。其次,設(shè)計(jì)了自適應(yīng)的感知時(shí)間幀結(jié)構(gòu),為認(rèn)知用戶傳輸數(shù)據(jù)提供了更多的時(shí)間。然后,根據(jù)認(rèn)知用戶存在狀態(tài)設(shè)計(jì)了三種接入模式,通過為連續(xù)性認(rèn)知用戶提供多次接入機(jī)會(huì)提高其接入概率。最后,分析了MAC協(xié)議的網(wǎng)絡(luò)性能,功能信道對(duì)網(wǎng)絡(luò)間干擾帶來的增益,設(shè)計(jì)父頻譜表的感知時(shí)間開銷。
[Abstract]:With the rapid development of information technology and wireless data service applications, wireless communication networks are facing the challenge of shortage of wireless resources in the future. Although the fixed spectrum allocation method avoids inter-network interference, the spectrum efficiency is very low due to the uneven and unexpected distribution of users and services. Through dynamic spectrum allocation and utilization, cognitive radio technology realizes multi-dimensional multiplexing of spectrum in time, frequency and space dimensions without changing the inherent bandwidth, and improves the efficiency of spectrum utilization. Cognitive wireless networks dynamically access and utilize the spectrum through wireless resource management technology to provide QoS support for cognitive networks without affecting the normal communication of authorized users. In this paper, the key technologies of resource management in cognitive wireless networks, such as power allocation, user access, and link maintenance, are studied, and the corresponding innovative solutions are proposed. The performance of the proposed algorithm is verified by detailed theoretical analysis and computer simulation. The main work and innovations of this paper are summarized as follows: 1) in the cognitive wireless network based on overlay spectrum sharing, the goal is to maximize the capacity of cognitive network and the satisfaction of cognitive users. An iterative algorithm for joint power allocation and user scheduling is proposed. Firstly, the influence of spectrum sensing technology on resource management and inter-network interference caused by sidelobe leakage are analyzed. Secondly, under the condition of total power constraint of access point and interference constraint of authorized users, a multi-objective convex optimization model with the aim of maximizing cognitive network capacity and cognitive user satisfaction is established. An iterative algorithm for joint power allocation and user scheduling is obtained. Finally, the simulation results show that the iterative algorithm improves the performance of the network. 2) in self-organized cognitive wireless networks, a quasi-synchronous priority multi-channel access scheme is designed to ensure the continuous transmission of MAC frames by cognitive users. Firstly, based on the spectrum sensing time difference between cognitive users, a time-frame structure with asynchronous competing access mode is designed. The cognitive users enhance their access ability by priority adjustment in the process of accessing the common control channel. Then, in saturated cognitive networks, a first-order finite state discrete Markov chain model is used to model the presence of slot states, and the system throughput and access delay performance of the access scheme are analyzed. Finally, in unsaturated cognitive wireless networks, a three-state discrete Markov chain model is used to model the existing states of cognitive users, and the throughput of the system based on the modified quasi-synchronous priority multi-channel access scheme is analyzed. 3) in order to enhance the communication persistence of cognitive users in self-organized cognitive wireless networks, a link maintenance MAC protocol is designed. First, the parent spectrum table is designed, and the life cycle of the parent spectrum table is obtained. The sub-channels in the parent spectrum table are divided into functions. The redundant and backup sub-channels are used to compensate for the loss of packets caused by spectrum mobility. Secondly, adaptive perceptual time frame structure is designed to provide more time for cognitive users to transmit data. Then, according to the status of cognitive users, three access modes are designed to improve the access probability by providing multiple access opportunities for continuous cognitive users. Finally, the network performance of MAC protocol, the gain of the functional channel to the inter-network interference, and the sensing time overhead of the parent spectrum table are analyzed.
【學(xué)位授予單位】：北京郵電大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2014
【分類號(hào)】：TN925

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本文編號(hào)：2012954