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

【摘要】：隨著信息技術(shù)和無線數(shù)據(jù)業(yè)務應用的飛速發(fā)展,未來無線通信網(wǎng)絡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)絡間干擾,但是由于用戶和業(yè)務分布的不均衡性和突發(fā)性等特性,其頻譜利用率很低。認知無線電技術(shù)通過動態(tài)的頻譜分配和利用,在不改變固有帶寬的條件下,實現(xiàn)了頻譜在時、頻、空維度上的多維復用,提高了頻譜的利用效率。認知無線網(wǎng)絡通過無線資源管理技術(shù)對頻譜進行動態(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知網(wǎng)絡提供QoS支持。論文針對認知無線網(wǎng)絡中資源管理的功率分配、用戶接入、以及鏈路維護等關(guān)鍵技術(shù)展開研究,提出了相應的創(chuàng)新性解決機制,并通過詳細的理論分析和計算機仿真對所提算法的性能進行了驗證。論文的主要工作和創(chuàng)新點包括三個方面,總結(jié)如下： 1)在基于overlay頻譜共享方式的認知無線網(wǎng)絡中,以最大化認知網(wǎng)絡容量和認知用戶滿意度為目標,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)對資源管理的影響,分析由旁瓣泄露帶來的網(wǎng)絡間干擾。其次,在認知網(wǎng)絡接入點總功率約束和授權(quán)用戶干擾約束條件下,建立了以最大化認知網(wǎng)絡容量和認知用戶滿意度為目標的多目標凸優(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,通過仿真驗證了迭代算法對網(wǎng)絡性能的提升。 2)在自組織認知無線網(wǎng)絡中,為了保證認知用戶持續(xù)發(fā)送MAC幀,設計了準同步優(yōu)先級多信道接入方案。首先,基于認知用戶之間的頻譜感知時間差,設計了具有異步競爭接入模式的時間幀結(jié)構(gòu),認知用戶在接入公共控制信道的過程中通過優(yōu)先級調(diào)整增強其接入能力。然后,在飽和認知網(wǎng)絡中,用一階有限狀態(tài)離散馬爾科夫鏈模型對時隙存在狀態(tài)建模,并分析了該接入方案的系統(tǒng)吞吐量和接入時延性能。最后,在非飽和認知無線網(wǎng)絡中,用3狀態(tài)離散馬爾科夫鏈模型對認知用戶的存在狀態(tài)建模,并分析了基于修正準同步優(yōu)先級多信道接入方案下的系統(tǒng)吞吐量,接入時延和連續(xù)接入概率等性能。 3)在自組織認知無線網(wǎng)絡中,為增強認知用戶的通信持續(xù)性,設計了一個具有鏈路維護功能的MAC協(xié)議。首先,設計了父頻譜表,得到了父頻譜表的生命周期,對父頻譜表中的子信道進行了功能劃分,具有冗余和備份功能的子信道用于彌補由頻譜移動性帶來的丟包。其次,設計了自適應的感知時間幀結(jié)構(gòu),為認知用戶傳輸數(shù)據(jù)提供了更多的時間。然后,根據(jù)認知用戶存在狀態(tài)設計了三種接入模式,通過為連續(xù)性認知用戶提供多次接入機會提高其接入概率。最后,分析了MAC協(xié)議的網(wǎng)絡性能,功能信道對網(wǎng)絡間干擾帶來的增益,設計父頻譜表的感知時間開銷。
[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.
【學位授予單位】：北京郵電大學
【學位級別】：博士
【學位授予年份】：2014
【分類號】：TN925

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本文編號：2012954