基于博弈論的認(rèn)知無線網(wǎng)絡(luò)頻譜共享方法研究
發(fā)布時(shí)間：2018-07-31 07:32
【摘要】：認(rèn)知無線電技術(shù)能有效提高無線頻譜資源利用率,是解決無線頻譜供需矛盾的有效方法之一。無線頻譜資源共享主要涉及頻譜分配、信道配置、功率控制和噪聲容限等幾個(gè)方面�；诓┺恼摰恼J(rèn)知無線網(wǎng)絡(luò)頻譜共享是針對(duì)在頻譜資源供需不均衡、信道特性隨機(jī)變化的條件下,采用經(jīng)濟(jì)手段動(dòng)態(tài)配置頻譜資源,在保證授權(quán)用戶正常通信的前提下,使認(rèn)知用戶也能共享頻譜,從而提高頻譜資源的利用率。傳統(tǒng)無線頻譜資源配置方式的網(wǎng)絡(luò)容量因固定的頻譜數(shù)量而保持相對(duì)穩(wěn)定;而在認(rèn)知無線網(wǎng)絡(luò)中,由于認(rèn)知用戶可以機(jī)會(huì)地接入授權(quán)用戶的頻譜資源,同時(shí)授權(quán)用戶對(duì)頻譜資源的使用也具有隨機(jī)動(dòng)態(tài)變化的特性,導(dǎo)致認(rèn)知用戶對(duì)頻譜資源的使用也呈現(xiàn)隨機(jī)時(shí)變性,使得認(rèn)知網(wǎng)絡(luò)的頻譜資源管理難度明顯增加。因此如何對(duì)認(rèn)知無線網(wǎng)絡(luò)的頻譜資源進(jìn)行有效管理,提高服務(wù)質(zhì)量和網(wǎng)絡(luò)性能,已成為目前相關(guān)領(lǐng)域的研究熱點(diǎn)。本論文主要采用博弈論算法,圍繞認(rèn)知網(wǎng)絡(luò)頻譜資源共享策略與方法進(jìn)行研究,涉及到用戶接入、頻譜分配、服務(wù)質(zhì)量、功率控制等關(guān)鍵技術(shù),主要研究內(nèi)容和創(chuàng)新成果如下:1)研究了基于襯底式(underlay)共享方式的認(rèn)知無線網(wǎng)絡(luò)功率控制方法,提出一種聯(lián)合服務(wù)質(zhì)量、功率控制、噪聲容限和干擾抑制的分布式非合作功率控制算法;圍繞頻譜資源共享問題,采用博弈理論分析授權(quán)用戶控制干擾容限,認(rèn)知用戶分布式非合作博弈競(jìng)爭的模型,推導(dǎo)證明其納什均衡解的存在性和唯一性。與傳統(tǒng)算法相比較,該方法在獲得相似通信質(zhì)量的條件下能進(jìn)一步降低認(rèn)知用戶的發(fā)射功率,降低能源消耗,具有收斂快、誤差小的優(yōu)點(diǎn)。2)利用微觀經(jīng)濟(jì)學(xué)理論的管理方法,基于經(jīng)濟(jì)效益最大化模型,研究了認(rèn)知無線網(wǎng)絡(luò)的功率控制、接入數(shù)量、信道質(zhì)量、遠(yuǎn)近距離和經(jīng)濟(jì)效益的關(guān)系,提高認(rèn)知網(wǎng)絡(luò)的公平性和經(jīng)濟(jì)效益。由于普通的分布式功率控制算法存在授權(quán)用戶沒有獲利、參與積極性不高等缺點(diǎn),我們提出一種干擾權(quán)限價(jià)格算法,引入干擾權(quán)限和功率價(jià)格來控制認(rèn)知用戶的接入數(shù)目和發(fā)射功率,調(diào)整認(rèn)知用戶與授權(quán)用戶的距離、信道質(zhì)量、接入數(shù)目和功率大小等因素。文中采用一種更為公平的基于干擾定價(jià)的非合作分布式功率分配算法,該算法使用價(jià)格杠桿來調(diào)節(jié)授權(quán)和認(rèn)知用戶之間的功率分配,限制認(rèn)知用戶貪婪增大發(fā)射功率,同時(shí)激發(fā)授權(quán)用戶分享更多頻譜資源以獲取更多經(jīng)濟(jì)利益的積極性。與傳統(tǒng)算法相比較,此算法更具現(xiàn)實(shí)意義和應(yīng)用價(jià)值。3)對(duì)于認(rèn)知無線網(wǎng)絡(luò),用戶效益最大化是協(xié)作通信的主要目標(biāo)之一。為此,本文提出一種以用戶聯(lián)盟為單位的共享機(jī)制,用戶聯(lián)盟內(nèi)以襯底式(underlay)共享頻譜,用戶聯(lián)盟間以覆蓋式(overlay)復(fù)用物理信道的聯(lián)盟博弈控制策略。提出一種基于聯(lián)盟博弈的配對(duì)算法,根據(jù)網(wǎng)絡(luò)狀況動(dòng)態(tài)選擇協(xié)作對(duì)象,以用戶間的偏好值大小決定首選次序的先后,綜合考慮網(wǎng)絡(luò)吞吐量和認(rèn)知用戶的聯(lián)盟利益。將配對(duì)問題建模成博弈配對(duì)模型,研究配對(duì)的穩(wěn)定性,證明穩(wěn)定配對(duì)解滿足Pareto最優(yōu)準(zhǔn)則。對(duì)比分析了隨機(jī)、穩(wěn)定配對(duì)算法的性能,仿真結(jié)果均證明此策略比隨機(jī)配對(duì)算法有較大改進(jìn),達(dá)到更大的系統(tǒng)容量且其公平性更好。
[Abstract]:Cognitive radio technology can effectively improve the utilization of radio spectrum resources. It is one of the effective methods to solve the contradiction between the supply and demand of the wireless spectrum. The wireless spectrum resource sharing mainly involves spectrum allocation, channel configuration, power control and noise tolerance. The spectrum sharing based on game theory is aimed at the supply of spectrum resources. Under the condition of unbalance and random variation of channel characteristics, the frequency spectrum resources can be dynamically configured by economic means. In order to ensure the normal communication of the authorized users, the cognitive users can share the spectrum and improve the utilization of the spectrum resources. The network capacity of the traditional wireless spectrum resource configuration is maintained by the fixed spectrum number. In the cognitive wireless network, in the cognitive wireless network, the cognitive users can access the spectrum resources of the authorized users, while authorizing the users to use the spectrum resources also has the characteristics of random dynamic changes, which leads to the random time variation of the use of the spectrum resources by the cognitive users, which makes the spectrum resource management of the cognitive network difficult. Therefore, how to effectively manage the spectrum resources of cognitive wireless network and improve the quality of service and network performance has become a hot topic in the related fields. This paper mainly uses game theory algorithm to study the strategies and methods of spectrum resource sharing in cognitive network, involving user access, spectrum allocation and service quality. Key technologies, such as quantity, power control, and other key technologies, the main research content and innovation results are as follows: 1) the cognitive wireless network power control method based on the underlay sharing mode is studied, and a distributed non cooperative power control algorithm for the quality of service, power control, noise tolerance and interference suppression is proposed. The game theory is used to analyze the authorization user to control the interference tolerance and the model of the distributed non cooperative game competition of the user. The existence and uniqueness of the Nash equilibrium solution are derived. Compared with the traditional algorithm, the method can reduce the power of the users and reduce the energy of the cognitive users. Using the management method of microeconomic theory and based on the model of economic benefit maximization, we study the relationship between the power control, the number of access, the quality of the channel, the distance and the economic benefit of the cognitive wireless network, and improve the fairness and economic benefit of the recognition network, because of the common distribution,.2. The power control algorithm has the disadvantage that the authorized user is not profitable and participates in high enthusiasm. We propose a interference privilege price algorithm, which introduces the interference rights and power prices to control the number of access and transmit power of the cognitive users, and adjusts the distance between the cognitive users and the authorized users, the channel quality, the number of access and the size of the power and so on. In this paper, a more equitable non cooperative distributed power allocation algorithm based on interference pricing is used. This algorithm uses price lever to regulate power allocation between authorized and cognitive users, restrict the greed and transmit power of cognitive users, and stimulate the authorized users to share more spectrum resources to obtain more economic benefits. Polarity. Compared with the traditional algorithm, this algorithm has more practical significance and application value.3). For cognitive wireless networks, the maximum user benefit is one of the main objectives of cooperative communication. For this reason, this paper proposes a sharing mechanism based on user alliance, shared spectrum of underlay in the user alliance, and overlay between user alliances. Overlay reuses the alliance game control strategy of the physical channel. A matching algorithm based on alliance game is proposed. The cooperative object is dynamically selected according to the network condition, the preference order of the user is determined by the preference value between users, and the network throughput and the alliance interests of the users are considered synthetically. The matching problem is modeled as a game pairing. The stability of pairing is studied, and the stable pairing solution satisfies the Pareto optimal criterion. The performance of the stochastic and stable pairing algorithm is compared and analyzed. The simulation results show that the strategy is better than the random pairing algorithm to achieve greater system capacity and its fairness is better.
【學(xué)位授予單位】：華南理工大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2016
【分類號(hào)】：TN925
本文編號(hào)：2154871
[Abstract]:Cognitive radio technology can effectively improve the utilization of radio spectrum resources. It is one of the effective methods to solve the contradiction between the supply and demand of the wireless spectrum. The wireless spectrum resource sharing mainly involves spectrum allocation, channel configuration, power control and noise tolerance. The spectrum sharing based on game theory is aimed at the supply of spectrum resources. Under the condition of unbalance and random variation of channel characteristics, the frequency spectrum resources can be dynamically configured by economic means. In order to ensure the normal communication of the authorized users, the cognitive users can share the spectrum and improve the utilization of the spectrum resources. The network capacity of the traditional wireless spectrum resource configuration is maintained by the fixed spectrum number. In the cognitive wireless network, in the cognitive wireless network, the cognitive users can access the spectrum resources of the authorized users, while authorizing the users to use the spectrum resources also has the characteristics of random dynamic changes, which leads to the random time variation of the use of the spectrum resources by the cognitive users, which makes the spectrum resource management of the cognitive network difficult. Therefore, how to effectively manage the spectrum resources of cognitive wireless network and improve the quality of service and network performance has become a hot topic in the related fields. This paper mainly uses game theory algorithm to study the strategies and methods of spectrum resource sharing in cognitive network, involving user access, spectrum allocation and service quality. Key technologies, such as quantity, power control, and other key technologies, the main research content and innovation results are as follows: 1) the cognitive wireless network power control method based on the underlay sharing mode is studied, and a distributed non cooperative power control algorithm for the quality of service, power control, noise tolerance and interference suppression is proposed. The game theory is used to analyze the authorization user to control the interference tolerance and the model of the distributed non cooperative game competition of the user. The existence and uniqueness of the Nash equilibrium solution are derived. Compared with the traditional algorithm, the method can reduce the power of the users and reduce the energy of the cognitive users. Using the management method of microeconomic theory and based on the model of economic benefit maximization, we study the relationship between the power control, the number of access, the quality of the channel, the distance and the economic benefit of the cognitive wireless network, and improve the fairness and economic benefit of the recognition network, because of the common distribution,.2. The power control algorithm has the disadvantage that the authorized user is not profitable and participates in high enthusiasm. We propose a interference privilege price algorithm, which introduces the interference rights and power prices to control the number of access and transmit power of the cognitive users, and adjusts the distance between the cognitive users and the authorized users, the channel quality, the number of access and the size of the power and so on. In this paper, a more equitable non cooperative distributed power allocation algorithm based on interference pricing is used. This algorithm uses price lever to regulate power allocation between authorized and cognitive users, restrict the greed and transmit power of cognitive users, and stimulate the authorized users to share more spectrum resources to obtain more economic benefits. Polarity. Compared with the traditional algorithm, this algorithm has more practical significance and application value.3). For cognitive wireless networks, the maximum user benefit is one of the main objectives of cooperative communication. For this reason, this paper proposes a sharing mechanism based on user alliance, shared spectrum of underlay in the user alliance, and overlay between user alliances. Overlay reuses the alliance game control strategy of the physical channel. A matching algorithm based on alliance game is proposed. The cooperative object is dynamically selected according to the network condition, the preference order of the user is determined by the preference value between users, and the network throughput and the alliance interests of the users are considered synthetically. The matching problem is modeled as a game pairing. The stability of pairing is studied, and the stable pairing solution satisfies the Pareto optimal criterion. The performance of the stochastic and stable pairing algorithm is compared and analyzed. The simulation results show that the strategy is better than the random pairing algorithm to achieve greater system capacity and its fairness is better.
【學(xué)位授予單位】：華南理工大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2016
【分類號(hào)】：TN925
【參考文獻(xiàn)】
相關(guān)期刊論文 前1條
1 姜永;陳山枝;胡博;;異構(gòu)無線網(wǎng)絡(luò)中基于Stackelberg博弈的分布式定價(jià)和資源分配算法[J];通信學(xué)報(bào);2013年01期
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