【摘要】：隨著人類信息社會(huì)的發(fā)展,各種無線電新型業(yè)務(wù)飛速增長,人們對于無線頻譜資源的需求也越來越大。認(rèn)知無線電技術(shù)可以智能地感知周圍無線系統(tǒng)的空閑頻譜,并伺機(jī)接入空閑頻譜進(jìn)行通信,實(shí)現(xiàn)了頻譜資源的共享,顯著地提高了頻譜效率�；诓┺恼摰念l譜共享技術(shù)是目前廣泛采用的頻譜共享方式,通過共享策略的納什均衡確保每個(gè)用戶的效益最大化,可以有效地提高頻譜資源的利用率,已經(jīng)成為認(rèn)知無線電領(lǐng)域研究的熱點(diǎn)方向。本文深入研究了認(rèn)知無線電技術(shù)的基本原理及關(guān)鍵技術(shù),介紹了博弈論技術(shù)的基本原理及應(yīng)用。在此基礎(chǔ)上,給出了博弈論應(yīng)用于認(rèn)知無線電系統(tǒng)頻譜共享技術(shù)的適用性分析,并分別提出基于價(jià)格的頻譜共享算法和基于傳輸速率的頻譜共享算法。傳統(tǒng)的頻譜共享算法中,頻譜價(jià)格僅考慮認(rèn)知用戶的頻譜需求量,而在實(shí)際中,頻譜價(jià)格不僅與認(rèn)知用戶的需求量有關(guān),還與主用戶的供給量有關(guān),同時(shí)主用戶提供不同頻段的頻譜特性對認(rèn)知用戶的傳輸質(zhì)量有很大的影響。針對這一問題,本文提出基于價(jià)格的頻譜共享算法,通過引入頻譜供給量和頻段參數(shù),重新定義了認(rèn)知用戶的價(jià)格函數(shù),反映主用戶對頻譜供給量的控制權(quán)以及主用戶共享頻譜的意愿,與傳統(tǒng)算法相比,所提算法提高了頻譜利用率,更加貼近實(shí)際的網(wǎng)絡(luò)狀況�？紤]到認(rèn)知無線電系統(tǒng)應(yīng)能提供包括數(shù)據(jù)、語音等多種業(yè)務(wù)的服務(wù),認(rèn)知用戶具有不同的服務(wù)質(zhì)量(Quality of Service, QoS)需求,特別是對于傳輸速率需求較高。在此基礎(chǔ)上本文提出基于傳輸速率的頻譜共享算法,將認(rèn)知用戶的傳輸速率作為目標(biāo)函數(shù),定義有效的效用函數(shù),能夠根據(jù)最低需求傳輸速率自適應(yīng)地調(diào)整實(shí)際的傳輸速率,最大化地滿足了認(rèn)知用戶的需求,有效地避免了頻譜資源的浪費(fèi)。仿真結(jié)果表明,與傳統(tǒng)算法相比,所提算法顯著提高了頻譜的利用率。
[Abstract]:With the development of human information society, various new radio services are growing rapidly, and the demand for wireless spectrum resources is also increasing. Cognitive radio technology can intelligently perceive the idle spectrum of the surrounding wireless system and access the idle spectrum to communicate. It realizes the sharing of spectrum resources and significantly improves the spectrum efficiency. The spectrum sharing technology based on game theory is widely used at present. The Nash equilibrium of sharing strategy ensures the maximum benefit of each user, which can effectively improve the utilization ratio of spectrum resources. It has become a hot research direction in the field of cognitive radio. In this paper, the basic principle and key technology of cognitive radio technology are studied, and the basic principle and application of game theory technology are introduced. On this basis, the applicability of game theory applied to spectrum sharing in cognitive radio systems is analyzed, and a price-based spectrum sharing algorithm and a transmission rate-based spectrum sharing algorithm are proposed, respectively. In the traditional spectrum sharing algorithm, the spectrum price only considers the spectrum demand of the cognitive user. In practice, the spectrum price is not only related to the demand of the cognitive user, but also to the supply of the primary user. At the same time, the transmission quality of cognitive users is greatly affected by the spectrum characteristics of different frequency bands provided by primary users. To solve this problem, a price-based spectrum sharing algorithm is proposed in this paper. By introducing spectrum supply and frequency band parameters, the price function of cognitive users is redefined. Compared with the traditional algorithm, the proposed algorithm improves the spectrum efficiency and is more close to the actual network condition, which reflects the control power of the primary user on the spectrum supply and the willingness of the primary user to share the spectrum. Considering that cognitive radio system should be able to provide a variety of services including data voice and other services cognitive users have different quality of service (Quality of Service, QoS) requirements especially for the high demand for transmission rates. On this basis, a spectrum sharing algorithm based on transmission rate is proposed, which takes the transmission rate of cognitive user as the objective function, defines an effective utility function, and adaptively adjusts the actual transmission rate according to the minimum transmission rate. It maximizes the needs of cognitive users and effectively avoids the waste of spectrum resources. The simulation results show that the proposed algorithm improves the spectral efficiency significantly compared with the traditional algorithm.
【學(xué)位授予單位】：東北大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TN925

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