本文關鍵詞：認知無線網(wǎng)絡中資源管理與分配關鍵技術研究　出處：《北京郵電大學》2014年博士論文　論文類型：學位論文

  更多相關文章： 認知無線電 資源管理和優(yōu)化 能量效率 經(jīng)濟能效 頻譜共享

【摘要】：隨著無線接入技術的飛速發(fā)展以及無線終端設備的日益普及,新的無線業(yè)務源源不斷地產(chǎn)生,使得頻譜資源的使用極度緊張。無線通信系統(tǒng)必須采用更為創(chuàng)新的技術和手段,提高頻譜資源使用效率,才能滿足日益增長的傳輸速率需求。認知無線電作為一種提高頻譜利用率的技術,它允許認知用戶(次用戶)在保護主用戶正常傳輸?shù)那疤嵯?機會地接入主用戶的授權頻段。目前,該技術已經(jīng)受到工業(yè)和學術領域的高度重視,并已作為5G通信系統(tǒng)的關鍵技術之一 現(xiàn)有無線通信系統(tǒng)的網(wǎng)絡結構在引入認知無線電后產(chǎn)生了質的變化,即在新的網(wǎng)絡架構中,不僅存在由主用戶構成的主用戶網(wǎng)絡,同時引入了由次用戶構成的認知無線網(wǎng)絡。在認知無線網(wǎng)絡中,資源管理和分配問題是其中非常重要的一個方面,如功率、信道分配、頻譜資源共享、認知用戶接入以及認知無線電與其他技術相結合的資源管理和分配等問題。目前,已經(jīng)有很多學者對此問題進行了廣泛的研究,并產(chǎn)生了很多相關的成果,但仍存在很多亟待解決的重要問題。 本論文重點關注的是認知無線網(wǎng)絡中的資源管理及分配問題,并提出了相應的資源分配策略,同時運用計算機數(shù)值仿真實驗對本章提出的策略進行了驗證。本論文的主要內容和創(chuàng)新之處可以歸結為： 1.考慮頻譜感知技術的局限性,研究了不完美頻譜感知對認知無線網(wǎng)絡性能的影響,提出一種基于漏檢、虛警概率的功率分配策略。 首先,以優(yōu)化認知無線網(wǎng)絡的吞吐量為目標,提出一種考慮不完美頻譜感知的功率分配策略。通過分析漏檢和虛警導致的主、次用戶之間的同頻干擾以及頻譜資源浪費的情形,同時考慮OFDM技術帶外泄漏導致的旁瓣泄漏干擾,對頻譜效率最優(yōu)化功率分配問題進行建模并求解,得到最優(yōu)化網(wǎng)絡頻譜效率的功率分配策略。最后,通過仿真驗證,證明所提出的功率分配策略可以顯著提高頻譜利用率。 其次,以優(yōu)化認知無線網(wǎng)絡的能量效率為目標,提出一種考慮不完美頻譜感知的能效功率分配策略。通過對網(wǎng)絡能量效率最優(yōu)化功率分配問題進行建模以及轉化求解,得到相應的能效功率分配策略。最后通過仿真驗證了該方案在相同條件下,有效減少了能量消耗。 2.考慮不同次用戶的時延需求,研究了認知無線網(wǎng)絡中聯(lián)合子載波以及能效功率分配問題,提出一種能效鏈路自適應策略。 首先,考慮認知無線網(wǎng)絡中的一些實際約束,如認知網(wǎng)絡的總功率約束、認知用戶的速率或時延需求約束以及主用戶受到的干擾約束等,在此前提下最大化認知網(wǎng)絡的能量效率(bit/Joule),并提出一種能效最優(yōu)化的聯(lián)合子載波和功率分配的資源分配策略。之后,對能量效率最優(yōu)化資源分配問題進行建模得到非線性規(guī)劃模型,且它的目標函數(shù)具有分數(shù)形式,并通過參考相關文獻將該分數(shù)規(guī)劃模型等價轉化為相對應的參數(shù)規(guī)劃模型,并通過對偶分解方法(DDM)以及二分法,最終實現(xiàn)了問題求解。最后,通過仿真驗證了能效資源分配策略對認知網(wǎng)絡整體性能的提升,它不僅保障了認知用戶的時延需求,同時實現(xiàn)了認知無線網(wǎng)絡中資源的最優(yōu)化利用。 3.基于Stackelberg博弈模型,研究了認知無線網(wǎng)絡中主、次用戶之間的能量(功率)協(xié)作問題,并提出一種經(jīng)濟能效的功率分配策略。 首先,我們對多中繼多用戶場景中的資源分配問題進行了深入的研究,并采用拍賣博弈和Stackelberg博弈理論對用戶與中繼之間相互關系建立數(shù)學模型,目標是最大化用戶的可達數(shù)據(jù)速率同時盡可能減少中繼上的功率消耗。其中,拍賣博弈用來求解每一個用戶的中繼選擇問題,一個兩層斯坦科爾伯格博弈模型用來對用戶和中繼之間的相互作用建模,并提出一種分布式中繼選擇和功率分配策略,仿真結果表明所提出的中繼選擇和功率分配策略可以顯著優(yōu)化網(wǎng)絡性能。 其次,不同于傳統(tǒng)的能效,本論文從經(jīng)濟學角度定義了新的能量效率(能效)標準,即經(jīng)濟能效(Economic Energy Efficiency),它的物理意義是單位能量(功率)消耗產(chǎn)生的經(jīng)濟收益。之后,我們采用斯坦科爾伯格博弈模型對主、次用戶之間的相互關系進行建模,并對次用戶目標函數(shù)具有的分數(shù)形式進行轉化及求解,提出一種經(jīng)濟能效資源分配策略。仿真結果表明,該資源分配策略不僅可以充分保護主用戶,且主、次用戶之間只需要較少的信息交互,它與集中式資源分配策略相比,具有顯著的優(yōu)越性。
[Abstract]:With the rapid development of wireless access technology and wireless terminal equipment is becoming more and more popular, new wireless services to Everfount, makes use of spectrum resources is extremely tense. Wireless communication system must adopt more innovative technologies and methods to improve efficiency in the use of spectrum resources, in order to meet the growing demand for transmission rate. As a cognitive radio to improve the spectrum utilization technology, which allows the cognitive users (secondary users) on the premise of protecting the primary users normal transmission, access to the main user authorization band. At present, the technology has drawn great attention by industrial and academic fields, and as one of the key technologies in 5G communication system
The network structure of the existing wireless communication systems to produce a qualitative change in the introduction of cognitive radio, which is in the new network architecture, not only exists in the main user network consists of main users, while the introduction of the cognitive radio network consists of secondary users in cognitive radio networks, resource management and allocation problem is one of a very important aspect, such as power spectrum, channel allocation, resource sharing, cognitive users access and cognitive radio and other technology combined with the resource management and allocation problems. At present, there have been widely studied by many scholars on this issue, and a lot of relevant achievements, but there are still many important problems to be solved.
This paper is focused on the resource management and allocation in cognitive radio network, and puts forward the corresponding resource allocation strategy, while the use of computer numerical simulation of the strategy was verified. The main contents and innovations of this paper can be summarized as:
1., considering the limitations of spectrum sensing technology, we study the influence of imperfect spectrum sensing on the performance of cognitive radio network, and propose a power allocation strategy based on missed detection and false alarm probability.
First of all, in order to optimize the throughput of cognitive radio network as the goal, put forward a kind of imperfect spectrum sensing power allocation strategy is considered. By analyzing the cause missing and false alarm, time between users of the same frequency interference spectrum and the waste of resources, taking OFDM technology with sidelobe leakage caused by leakage interference modeling and to solve the spectrum efficiency of optimal power allocation, power allocation strategy to obtain the spectral efficiency of network optimization. Finally, through the simulation show that the proposed power allocation strategy can significantly improve the spectrum utilization.
Secondly, to optimize the energy efficiency of the cognitive wireless network as the goal, put forward a kind of imperfect spectrum sensing efficiency power allocation strategy is considered. By modeling and transformation to solve the network energy efficiency optimization power allocation problem, the corresponding energy-efficient power allocation strategies. Finally, the simulation results show that the scheme is effective under the same conditions. To reduce energy consumption.
2., considering the delay needs of different users, we study the problem of joint subcarriers and energy efficiency allocation in cognitive radio networks, and propose an adaptive link strategy for energy-efficient links.
First of all, considering some practical constraints in cognitive radio networks, such as the total power of the cognitive network constraints, demand constraints or delay rate of cognitive users and primary users by the interference constraint, energy efficiency on the premise of maximizing cognitive network (bit/Joule), and proposed a resource allocation strategy combined with sub optimal efficiency carrier and power allocation. Then, on the energy efficiency optimization of resource allocation problem by modeling the nonlinear programming model, and its objective function with fractional form, and by reference to the relevant literature of the fractional programming model is transformed into a corresponding parameter planning model, and through the dual decomposition method (DDM) and finally realize the dichotomy. The solution is verified by simulation. Finally, improve the efficiency of resource allocation strategy for overall performance of the cognitive network, it not only to protect the user's cognitive The requirement is extended, and the optimal utilization of the resources in the cognitive wireless network is realized.
3., based on the Stackelberg game model, we study the energy (power) coordination problem between primary and secondary users in cognitive radio networks, and propose a power allocation strategy based on energy efficiency.
First, we conducted in-depth research on the resource allocation problem in multi relay multi-user scenarios, and the use of the auction game and Stackelberg game theory on the relationship between the user and the relay to establish the mathematical model, the target is to maximize the data rate of users at the same time as far as possible to reduce the power consumption of the relay. The relay selection problem the auction game used to solve each user, a two Stan Kolberg game model used to model the interactions between the user and the relay, and put forward a distributed relay selection and power allocation strategy, the simulation results show that the proposed relay selection and power allocation strategy can optimize the network performance significantly.
Secondly, different from the traditional energy efficiency, this paper defines a new energy efficiency from the angle of Economics (efficiency) standard, namely economic efficiency (Economic Energy Efficiency), its physical meaning is the unit energy consumption (power) produce economic benefits. After that, we use the Stan Kolberg model for modeling the relationship between time. Between users, and has the objective function of the secondary users fraction form transformation and solution, put forward a kind of economy energy resource allocation strategy. The simulation results show that the resource allocation strategy can not only fully protect the main users, and the master, only less need for information exchange between users, compared with the centralized resource allocation strategy. It has significant advantages.

【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】：TN915.07

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本文編號：1441629