本文關(guān)鍵詞：認知無線電網(wǎng)絡(luò)協(xié)作頻譜共享策略研究　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(guān)文章： 認知無線電 協(xié)作通信 凸優(yōu)化 價格理論 線性規(guī)劃 搜索法

【摘要】：隨著近年來社會信息化進程的迅速推進以及無線通信產(chǎn)業(yè)的飛速發(fā)展,不斷增長的無線業(yè)務(wù)和日益匱乏的頻譜資源之間的矛盾正變得越發(fā)尖銳。旨在緩和這一矛盾、突破傳統(tǒng)靜態(tài)頻譜資源管理體制的認知無線電(Cognitive Radio, CR)技術(shù),在過去的十數(shù)年里得到了長足發(fā)展,并且成為了動態(tài)頻譜管理(Dynamic Spectrum Management, DSM)體制最為關(guān)鍵的技術(shù)基礎(chǔ)。在這一技術(shù)框架下,非授權(quán)無線電系統(tǒng)可以二次利用其他無線系統(tǒng)的授權(quán)頻段,以減少授權(quán)頻段在時間和空間上的閑置,進而提高了頻譜利用率。在認知無線電網(wǎng)絡(luò)中,從用戶間可用頻譜資源分布不均勻的現(xiàn)象要遠較傳統(tǒng)無線通信網(wǎng)絡(luò)嚴重。另一方面,從用戶的動態(tài)傳輸需求同樣存在極大的不均勻性。顯然,這兩方面的不均勻性是一對矛盾,將引申出一個重要的問題,也即如何通過對不均勻資源,尤其是不均勻頻譜資源的優(yōu)化分配來實現(xiàn)網(wǎng)絡(luò)目標和滿足不同用戶之間差異化的傳輸需求。這一問題也是認知無線電網(wǎng)絡(luò)頻譜共享所需面對的最大挑戰(zhàn)之一,已經(jīng)吸引了各個方面的廣泛關(guān)注。協(xié)作通信技術(shù)被廣泛應(yīng)用于各式無線通信網(wǎng)絡(luò),包括認知無線電網(wǎng)絡(luò)。通過對協(xié)作通信網(wǎng)絡(luò)的概念進行引申,并利用認知無線電終端與共存授權(quán)無線通信系統(tǒng)自適應(yīng)互聯(lián)互通的能力,可以構(gòu)造一個認知無線電網(wǎng)絡(luò),即認知無線電中繼網(wǎng)絡(luò)(Cognitive Radio Relay Network, CRRN)。它是認知無線電網(wǎng)絡(luò)的重要推廣。該網(wǎng)絡(luò)范式將協(xié)作通信技術(shù)的優(yōu)點和認知無線電技術(shù)的優(yōu)點結(jié)合在一起,為解決認知無線電網(wǎng)絡(luò)中分布不均勻的網(wǎng)絡(luò)資源的優(yōu)化分配問題提供了一條捷徑。 然而,到目前為止,認知無線電中繼網(wǎng)絡(luò)頻譜共享方面的理論研究仍然不足以應(yīng)對在實現(xiàn)無線個人通信5A (Anyone, Anytime, Anywhere, Anydevice, Anything)愿景過程中出現(xiàn)的挑戰(zhàn)�；谏鲜隹紤],本文主要就認知無線電中繼網(wǎng)絡(luò)中的協(xié)作頻譜共享理論展開研究,旨在為下一代無線通信系統(tǒng)中的無線資源管理提供理論依據(jù)和指導。根據(jù)認知無線電中繼網(wǎng)絡(luò)中參與協(xié)作頻譜共享的對象的不同,本文的研究分為從用戶之間的協(xié)作、主用戶和從用戶之間的協(xié)作、主系統(tǒng)和從系統(tǒng)之間的協(xié)作這三部分內(nèi)容。 本文第二章針對從用戶之間的協(xié)作,以認知無線電中繼網(wǎng)絡(luò)從系統(tǒng)中的中繼選擇和功率分配為切入點展開研究。與該領(lǐng)域其他研究所不同的是,本文考慮了對作為中繼的從用戶性能的保障。研究模型以三節(jié)點協(xié)作中繼網(wǎng)絡(luò)(Three-node Cooperative Relay Networks)為基礎(chǔ),分別考慮中繼借助中繼信道(Relay Channel)和雙跳信道(Dual-hop Channel)協(xié)助源節(jié)點傳輸?shù)膬深惖湫蛨鼍啊Ｔ跐M足從用戶的發(fā)射總功率、主用戶的最大接收干擾功率,以及包括作為中繼的從用戶在內(nèi)的從用戶QoS (Quality of Service)需求等約束條件的前提下,以最大化系統(tǒng)吞吐量為優(yōu)化目標,求解最優(yōu)聯(lián)合中繼選擇與功率分配問題。該問題的求解分為兩個步驟：首先針對源節(jié)點和每個候選中繼節(jié)點進行最優(yōu)功率分配；然后根據(jù)這些最優(yōu)功率分配所對應(yīng)的系統(tǒng)吞吐量,選擇最優(yōu)中繼。對于一個給定的候選中繼,它所對應(yīng)的最優(yōu)功率分配問題在第一類典型場景中是一個凸優(yōu)化問題,可通過對偶法求解；在第二類典型場景中,該問題是一個非凸問題,因而難以求解。為了解決這一非凸問題,本文提出一種基于對偶法和搜索法的算法來獲得最優(yōu)解。此外,為了降低在每個候選中繼處重復實施最優(yōu)功率分配算法所帶來的計算復雜度,同時保持較高的系統(tǒng)性能,本文還提出了一種基于主用戶最大接收干擾功率門限的次優(yōu)中繼選擇算法。最后,仿真結(jié)果顯示了所提出方案性能的優(yōu)越性,并且證明了所提出方案能夠有效地保證源節(jié)點和中繼節(jié)點間的公平性。 本文第三章針對主用戶和從用戶之間的協(xié)作,研究認知無線電中繼網(wǎng)絡(luò)中的協(xié)作頻譜共享,具體考察一對主從用戶的功率優(yōu)化分配和頻譜資源在時域上的優(yōu)化配置。所考察的場景為能量受限網(wǎng)絡(luò),例如隨建即連網(wǎng)絡(luò)(Mobile Ad-hoc Networks, MANETs)和無線傳感器網(wǎng)絡(luò)(Vireless Sensor Networks, WSNs)等。該類型網(wǎng)絡(luò)資源優(yōu)化分配的目的不是最大化系統(tǒng)傳輸性能或者最小化系統(tǒng)能耗,而是最大程度地延長網(wǎng)絡(luò)的生存周期,從而減少終端電池更換頻率,實現(xiàn)終端數(shù)據(jù)的連續(xù)傳輸。在所考慮的場景中,從用戶可以作為中繼協(xié)助主用戶傳輸數(shù)據(jù)。作為交換,主用戶在待傳數(shù)據(jù)傳輸完畢后,在傳輸周期剩下的時間內(nèi)允許從用戶接入授權(quán)頻譜。與該領(lǐng)域其他研究所不同的是,本文從系統(tǒng)中能量供求關(guān)系出發(fā),假設(shè)存在與主用戶和從用戶分別對應(yīng)的虛擬能量代理,能量代理擁有對應(yīng)用戶殘余能量的處置權(quán)。通過將用戶建模為能量買家,能量代理建模為能量賣家,我們可以在適當?shù)哪芰績r格下,根據(jù)最小代價原則,降低并均衡系統(tǒng)在各個協(xié)作頻譜共享周期內(nèi)所消耗能量。按照這一思路,基于圖解法和牛頓法求解主用戶和從用戶之間的功率和頻譜分配問題,本文提出了一種基于能量價格(Energy Price)的協(xié)作頻譜共享策略。仿真結(jié)果顯示,這一策略可以顯著延長能量受限的認知無線電中繼網(wǎng)絡(luò)的生存周期,并提高系統(tǒng)頻譜效率。不過,如何將這一策略推廣到多對主從用戶的場景,仍然是一個有待解決的問題。 最后,本文第四章對協(xié)作頻譜共享中的參與者進行適當引伸,考慮主系統(tǒng)和從系統(tǒng)間的協(xié)作頻譜共享。針對頻譜租賃市場中主系統(tǒng)保留頻段中存在的大量白色、灰色空間所導致的頻譜利用率低下問題,設(shè)計了一種混合式頻譜共享機制。這種機制與傳統(tǒng)的頻譜租賃所不同的是,為了進一步提高頻譜利用率,允許從用戶機會式地共享主系統(tǒng)保留頻段。本文考慮了在該機制下從用戶由于頻譜檢測誤差在主用戶保留頻段上給主用戶帶來的干擾,并且為了補償其對主系統(tǒng)性能造成的損失,提出了一種基于均衡價格理論的混合式頻譜分配策略。此外,本文還進一步提出了一種求解均衡價格的分布式迭代算法。仿真結(jié)果顯示,混合式頻譜共享機制在頻譜利用率方面相對于頻譜租賃以及機會式頻譜共享存在一定優(yōu)勢,并且證明了主從系統(tǒng)均能在此機制下獲得更高的收益。
[Abstract]:With the rapid development of rapid development in recent years of social informatization and wireless communication industry, the contradiction between the wireless business growing and increasingly scarce spectrum resources is becoming increasingly acute. In order to alleviate this contradiction, break through the traditional static spectrum management system of cognitive radio (Cognitive Radio CR) technology, has been considerable the development in the past several years, and has become a dynamic spectrum management (Dynamic Spectrum, Management, DSM) the key technology foundation for the system. In this framework, the non authorized radio system can be two times the use of other wireless systems licensed band to reduce the idle spectrum in terms of time and space. To improve the utilization of the spectrum. In cognitive radio network, users from the available spectrum resources uneven distribution of the phenomenon to be far better than traditional wireless communication network Yan Heavy. On the other hand, from the demand of the transmission of dynamic user are also non uniformity. Obviously, inhomogeneity of these two aspects is a contradiction, will draw an important problem, namely how to through the resources is not uniform, especially the optimization of uneven distribution of spectrum resources to achieve network transmission goals and meet the needs of different users. The difference between this problem is also one of the biggest challenges in cognitive radio network spectrum sharing have to face, has attracted wide attention in various aspects. Cooperative communication technology has been widely used in all kinds of wireless communication network, including the cognitive radio network. Extended by the concept of cooperative communication network and, by the cognitive radio terminal and coexistence capacity authorized wireless communication system adaptive interoperability, we can construct a cognitive radio network, cognitive radio relay network Luo (Cognitive Radio Relay Network, CRRN). It is important to promote the cognitive radio network. The network technology advantages and advantages of the paradigm of cognitive radio communication technology together, provides a shortcut to solve the optimal allocation problem of uneven distribution of cyber source in cognitive radio networks.
However, so far, the theoretical research is not sufficient in the realization of wireless personal communication 5A relay network cognitive radio spectrum sharing (Anyone, Anytime, Anywhere, Anydevice, Anything) appear vision process challenges. Based on the above considerations, this paper mainly cooperative spectrum sharing in cognitive radio relay network theory research, in order to provide theoretical basis and guidance for radio resource management in next generation wireless communication systems. According to the object of cooperative spectrum sharing in cognitive radio relay network is different, this study is divided into the collaboration between users, users and from the collaboration between users, from the main system and cooperation system between the the content of the three part.
This paper in the second chapter from the collaboration between users, the cognitive radio relay network from the relay selection and power allocation in the system as the starting point of the research. And other research in the field is different, we consider as relay protection. From the user performance research model with three nodes for cooperative relay networks (Three-node Cooperative Relay Networks) as the foundation, are considered by the relay relay channel (Relay Channel) and dual hop channel (Dual-hop Channel) to help the two typical scenes source node transmission. To meet the total transmit power from the user, the maximum received interference power of the primary user, and includes as a relay from the user, the user from the QoS (Quality of Service) prerequisite demand constraint, to maximize the system throughput as the optimization goal, with problem solving optimal joint relay selection and power. The problem The solution is divided into two steps: firstly, the optimal power allocation for the source node and the relay node for each candidate; the throughput of the system and then the optimal power allocation of the optimal relay selection. For a given candidate relay, the optimal power allocation problem of the corresponding class in the first scenario is a convex optimization problems by duality solution; in second typical scenarios, this problem is a non convex problem, so it is difficult to solve. In order to solve the non convex problem, this paper proposes a dual method and search method based on the algorithm to obtain the optimal solution. In addition, in order to reduce the repeated in each candidate relay the implementation of computing the optimal power allocation algorithm has complexity, while maintaining a higher system performance, this paper also presents a user based on the principal maximum received power threshold suboptimal relay interference Finally, the simulation results show the superiority of the proposed scheme, and prove that the proposed scheme can effectively guarantee the fairness between source node and relay node.
In the third chapter, aiming at the main users and from the collaboration between users, research on cognitive radio relay cooperative spectrum sharing network, optimal allocation in the time domain specific investigation of master-slave user power allocation and spectrum resources. The scene for the energy constrained network, for example, is built with the connected network (Mobile Ad-hoc Networks. Wireless sensor network (MANETs) and Vireless Sensor Networks, WSNs). This type of cyber source allocation is not the purpose of maximizing the transmission performance of the system or to minimize the energy consumption of the system, but to maximize the network lifetime, thereby reducing the terminal battery replacement frequency, realize the continuous data transmission terminal. In consideration of the scene from the user, can be used as the main relay to assist users transmit data. In exchange, the main users in the transmission of data to be transmitted after the rest of the time in the transmission cycle From the user to access the licensed spectrum allows room. And other research in the field is different, the relationship between energy supply and demand from the system view, and assume the existence of primary users and corresponding respectively from the user's virtual energy agency, the right to dispose of the energy agency with the corresponding user residual energy. By the user modeling for energy buyers, Energy Agency modeling for energy sellers, we can in the appropriate energy prices, according to the principle of minimum cost, reduce energy consumption and balance system of sharing period in each cooperative spectrum. According to this idea, the graphic method and Newton method for primary users and from power and spectrum allocation between users based on the problems, this paper proposes a based on the energy price (Energy Price) cooperative spectrum sharing strategy. Simulation results show that the cognitive radio relay network this strategy can significantly prolong the survival of Energy Limited The frequency spectrum efficiency of the system is improved. However, it is still a problem to be solved how to extend this strategy to a number of master-slave users.
Finally, the fourth chapter of cooperative spectrum sharing in the appropriate extension of the participants, and sharing from the cooperative spectrum between systems with main system. Aiming at the main system spectrum leasing market to keep a large white band existed in the low rate of problems caused by the use of grey space spectrum, design a hybrid spectrum sharing mechanism. This mechanism with the traditional spectrum leasing is different, in order to further improve the spectrum utilization, allowing users the opportunity to share from the main system. In this paper we consider the band retained under this mechanism from the user as the spectrum detection error in the main interference band to the main users to retain users, and to compensate the Lord the performance of the system caused by the loss of a balanced price theory based on hybrid spectrum allocation strategy. In addition, this paper further proposes a solution of equilibrium price points The simulation results show that the hybrid spectrum sharing mechanism has some advantages in spectrum utilization, compared with spectrum lease and opportunistic spectrum sharing, and proves that the master slave system can get higher profits under this mechanism.

【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

【參考文獻】

相關(guān)期刊論文 前1條

1 ;Cooperative Communication and Cognitive Radio (2)[J];ZTE Communications;2009年02期

，

本文編號：1401423