本文選題：認(rèn)知無(wú)線電 + 功率控制�。� 參考：《中國(guó)礦業(yè)大學(xué)》2014年碩士論文

【摘要】：認(rèn)知無(wú)線電技術(shù)采用動(dòng)態(tài)頻譜分配模式，能夠提高頻譜資源的利用率，一經(jīng)提出就引起了廣泛的關(guān)注。功率控制可以實(shí)現(xiàn)認(rèn)知用戶(hù)和主用戶(hù)的頻譜資源共享，是認(rèn)知無(wú)線電的關(guān)鍵技術(shù)之一。本文重點(diǎn)研究認(rèn)知無(wú)線電多用戶(hù)接入下的功率分配問(wèn)題，在保證QoS的基礎(chǔ)上，通過(guò)對(duì)認(rèn)知用戶(hù)的功率控制，實(shí)現(xiàn)主用戶(hù)和認(rèn)知用戶(hù)共享頻譜資源，提高頻譜資源的利用率。 現(xiàn)有的博弈論功率控制算法只考慮了用戶(hù)效用的最大化，，卻未考慮到提高用戶(hù)效用對(duì)網(wǎng)絡(luò)收益的影響。針對(duì)未考慮網(wǎng)絡(luò)收益的情況，本文給出了聯(lián)合用戶(hù)和網(wǎng)絡(luò)最優(yōu)化的認(rèn)知無(wú)線電功率控制算法。以用戶(hù)為中心采用博弈論算法實(shí)現(xiàn)用戶(hù)效用最大化，以網(wǎng)絡(luò)為中心實(shí)現(xiàn)網(wǎng)絡(luò)收益最大化，通過(guò)引入以用戶(hù)吞吐量為基準(zhǔn)的代價(jià)機(jī)制來(lái)協(xié)調(diào)用戶(hù)和網(wǎng)絡(luò)的資源分配，在最大化網(wǎng)絡(luò)收益的基礎(chǔ)上實(shí)現(xiàn)用戶(hù)效用的最大化，實(shí)現(xiàn)更優(yōu)的功率控制。通過(guò)理論推導(dǎo)，證實(shí)了算法的有效性。 算法的實(shí)現(xiàn)可以采用多維搜索的方式，但是該方式計(jì)算量大，為了減少計(jì)算的復(fù)雜度，本文在分析了代價(jià)和收益特性的基礎(chǔ)上，給出了一種近似求解最優(yōu)單位價(jià)格的方法，首先確定使得網(wǎng)絡(luò)收益最大化的單位價(jià)格，并基于該單位價(jià)格，采用博弈論分析方法，進(jìn)行認(rèn)知用戶(hù)的功率控制。 搭建單小區(qū)CDMA終端上行功率控制仿真模型，并在MATLAB仿真平臺(tái)中進(jìn)行仿真測(cè)試。通過(guò)仿真結(jié)果分析驗(yàn)證了本文算法能夠快速收斂，能夠明顯的降低用戶(hù)的發(fā)射功率，在最大化網(wǎng)絡(luò)收益的基礎(chǔ)上能夠增加多數(shù)用戶(hù)效用，同時(shí)能夠提高各用戶(hù)的公平性。
[Abstract]:Cognitive radio technology, which uses dynamic spectrum allocation mode, can improve the efficiency of spectrum resources. Power control, one of the key technologies of cognitive radio, can share spectrum resources between cognitive users and primary users. This paper focuses on the power allocation under the multi-user access of cognitive radio. On the basis of guaranteeing QoS, the main user and the cognitive user can share the spectrum resources and improve the utilization ratio of the spectrum resource by controlling the power of the cognitive user. The existing power control algorithms based on game theory only consider the maximization of user utility, but not the influence of improving user utility on network income. In this paper, a cognitive radio power control algorithm for joint users and network optimization is presented. Taking user as center, game theory algorithm is used to maximize user utility, network center is used to realize network profit maximization, and cost mechanism based on user throughput is introduced to coordinate resource allocation between user and network. On the basis of maximizing network income, the user utility is maximized and better power control is realized. The validity of the algorithm is proved by theoretical derivation. In order to reduce the computational complexity, this paper presents an approximate method to solve the optimal unit price on the basis of analyzing the cost and income characteristics. Firstly, the unit price which maximizes the network income is determined, and based on the unit price, the power control of cognitive users is carried out by using game theory analysis method. The uplink power control simulation model of single cell CDMA terminal is built, and the simulation test is carried out on the MATLAB simulation platform. The simulation results show that the proposed algorithm can converge rapidly, reduce the transmission power of users, increase the utility of most users on the basis of maximizing the network income, and improve the fairness of the users at the same time.
【學(xué)位授予單位】：中國(guó)礦業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類(lèi)號(hào)】：TN925


本文編號(hào)：1904612