本文選題：協(xié)作通信 + 中繼選擇　； 參考：《杭州電子科技大學(xué)》2017年碩士論文

【摘要】：為了更好滿足日益增長(zhǎng)的現(xiàn)代多媒體通信業(yè)務(wù)等需求,迫切需要研制更快和更高頻譜效率的無(wú)線網(wǎng)絡(luò)。多輸入多輸出(MIMO)通過(guò)收發(fā)兩端配備多天線來(lái)抑制信道衰落,可獲較高傳輸速率和可靠性。但受限于尺寸等因素,其無(wú)法實(shí)現(xiàn)微小型化應(yīng)用。協(xié)作通信利用相鄰用戶天線協(xié)作,組成虛擬天線陣,獲得了類似MIMO優(yōu)勢(shì),可克服其因傳輸復(fù)雜、不易小型化等難題。但目前協(xié)作通信還存在傳輸效率低和復(fù)雜度過(guò)高等難點(diǎn),較難實(shí)現(xiàn)高速可靠的傳輸。針對(duì)這些問(wèn)題,本文主要開(kāi)展了單、雙向中繼協(xié)作通信系統(tǒng)中的中繼選擇和功率分配優(yōu)化研究。全文內(nèi)容和創(chuàng)新點(diǎn)主要如下:(1)第一部分為協(xié)作通信概述。首先,簡(jiǎn)介了空間分集中三種主要的分集合并準(zhǔn)則,分別推導(dǎo)了其信噪比輸出公式,并驗(yàn)證了最大比合并方案在所有線性合并方案中獲得了最大信噪比。然后,重點(diǎn)討論在固定中繼模型下的放大轉(zhuǎn)發(fā)(AF)和譯碼轉(zhuǎn)發(fā)(DF)兩種協(xié)議,并分析了它們的中斷概率、誤符號(hào)率及瞬時(shí)信道容量上界,并對(duì)此實(shí)驗(yàn)仿真,驗(yàn)證了采用中繼轉(zhuǎn)發(fā)協(xié)議的系統(tǒng)性能比無(wú)中繼傳輸方式有了明顯的改善。最后,還簡(jiǎn)介了編碼協(xié)作(CC)和壓縮轉(zhuǎn)發(fā)(CF)協(xié)議以及各協(xié)議間的差異。(2)第二部分主要研究了單向中繼模式下的中繼選擇算法和功率分配優(yōu)化方案。為了彌補(bǔ)全部中繼都參與放大轉(zhuǎn)發(fā)(AAF)的低資源利用率和單中繼參與放大轉(zhuǎn)發(fā)(SAF)的低協(xié)作分集增益,并改進(jìn)系統(tǒng)復(fù)雜度和中斷性能,提出了多中繼選擇策略的刪余改進(jìn)算法。此外,還提出了針對(duì)該算法的次優(yōu)功率分配(NOPA)方案。仿真表明:所提出的刪余改進(jìn)算法的中斷概率相對(duì)其他中繼數(shù)目參與轉(zhuǎn)發(fā)的情況是最小的;其中斷性能在任何信噪比(SNR)時(shí),都優(yōu)于AAF和SAF算法;且在中斷概率為10-4時(shí),該算法相對(duì)AAF和SAF方案分別有近0.3dB和5.2dB信噪比增益;在功率分配優(yōu)化上,相比于等功率分配(EPA)方案,基于該算法的NOPA方案能獲得了更好的中斷概率性能。(3)第三部分主要研究了雙向中繼模式下的中繼選擇算法和功率分配優(yōu)化方案。針對(duì)Max-min算法和雙向中繼選擇算法在可達(dá)速率性能上的不足,提出了雙向中繼選擇策略的門限信噪比乘積算法。對(duì)此,還結(jié)合SNR平衡,提出了一種最優(yōu)功率分配(OPA)方案,并與現(xiàn)有的凸優(yōu)化和等功率這兩個(gè)分配方案比較。仿真表明:相比于Max-min和雙向中繼選擇算法,所提出的門限信噪比乘積算法能提升系統(tǒng)速率性能,且實(shí)現(xiàn)復(fù)雜度代價(jià)增加較小;在功率分配優(yōu)化上,所提出的運(yùn)用SNR平衡的OPA方案,在系統(tǒng)的速率和中斷性能上較凸優(yōu)化和等功率方案都有明顯的改善。通過(guò)對(duì)協(xié)作通信中繼選擇和功率優(yōu)化的研究,可有效改善系統(tǒng)的可靠傳輸問(wèn)題。且全文中的改進(jìn)點(diǎn)均以低復(fù)雜度實(shí)現(xiàn),故可方便的應(yīng)用于多中繼場(chǎng)景,以獲得更優(yōu)系統(tǒng)性能。
[Abstract]:In order to better meet the increasing demand of modern multimedia communication services, it is urgent to develop faster and more spectral efficient wireless networks. Multiple input and multiple output (Mimo) channel fading can be suppressed by multiple antennas at both ends of the transmitter and receiver, and high transmission rate and reliability can be achieved. However, limited by the size and other factors, it can not achieve micro-miniaturization applications. Cooperative communication uses adjacent user antennas to form a virtual antenna array, which has similar advantages as MIMO, and can overcome the difficulties of complex transmission and difficult miniaturization. However, there are still some difficulties in cooperative communication, such as low transmission efficiency and high complexity, so it is difficult to achieve high-speed and reliable transmission. To solve these problems, this paper focuses on relay selection and power allocation optimization in single and bidirectional relay cooperative communication systems. The first part is an overview of cooperative communication. Firstly, three main diversity combining criteria are introduced, and the output formulas of SNR are derived, respectively, and the maximum signal-to-noise ratio (SNR) of the maximum ratio combination scheme is verified in all linear combination schemes. Then, two kinds of protocols, Amplifier forwarding (AFA) and Decoding forwarding (DFF) in fixed relay model, are discussed, and their interrupt probability, symbol error rate and upper bound of instantaneous channel capacity are analyzed, and the simulation results are given. It is verified that the performance of relay forwarding protocol is better than that of non-relay transmission. Finally, the CCS and CFC protocols and the differences between them are briefly introduced. In the second part, the relay selection algorithm and the power allocation optimization scheme in unidirectional relay mode are studied. In order to compensate for the low resource utilization of all relays participating in AAFs and the low cooperative diversity gain of single relay participating in amplification forwarding (SAF), and to improve the system complexity and interrupt performance, an improved censored algorithm for multi-relay selection strategy is proposed. In addition, a suboptimal power allocation scheme for this algorithm is proposed. The simulation results show that the outage probability of the improved censored algorithm is minimum than that of other relays, where the outage performance is superior to that of AAF and SAF algorithms at any SNR / SNR, and when the outage probability is 10 ~ (-4), the outage performance of the improved algorithm is better than that of AAF and SAF when the outage probability is 10 ~ (-4). Compared with AAF and SAF schemes, the proposed algorithm has near 0.3dB and 5.2dB signal-to-noise ratio gain, compared with the equal-power allocation scheme in power allocation optimization. The NOPA scheme based on this algorithm can achieve better outage probability performance. In the third part, relay selection algorithm and power allocation optimization scheme in bidirectional relay mode are studied. Aiming at the shortcomings of Max-min algorithm and bidirectional relay selection algorithm in the performance of reachable rate, a threshold SNR product algorithm of bidirectional relay selection strategy is proposed. Based on the SNR equilibrium, an optimal power allocation scheme is proposed and compared with the existing convex optimization and equal power allocation schemes. Simulation results show that compared with Max-min and bidirectional relay selection algorithm, the proposed threshold signal-to-noise ratio product algorithm can improve the system rate performance and increase the complexity cost less. The proposed OPA scheme with SNR balance has obvious improvement in system speed and interrupt performance, as well as in the convex optimization scheme and the equal power scheme. By studying the relay selection and power optimization of cooperative communication, the reliable transmission problem of the system can be effectively improved. The improvement points in this paper are all implemented with low complexity, so they can be easily applied to multi-relay scenarios to obtain better system performance.
【學(xué)位授予單位】：杭州電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TN92

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 黃星鴻;王博文;段希猛;;5G移動(dòng)通信發(fā)展趨勢(shì)與若干關(guān)鍵技術(shù)[J];通訊世界;2016年06期

2 孫立悅;趙曉暉;虢明;;基于中斷概率的協(xié)作通信中繼選擇與功率分配算法[J];通信學(xué)報(bào);2013年10期

3 劉順蘭;曹申好;;雙向AF中繼系統(tǒng)中繼選擇及功率分配策略[J];計(jì)算機(jī)工程與應(yīng)用;2013年11期

4 劉順蘭;徐光建;;改進(jìn)的多用戶協(xié)作通信系統(tǒng)中繼選擇策略[J];計(jì)算機(jī)工程;2012年06期

5 吳素文;趙明;朱近康;韓凌娟;;基于部分信道信息的中繼選擇算法[J];數(shù)據(jù)采集與處理;2011年02期

6 唐倫;劉通;陳前斌;曾孝平;;Two-way中繼系統(tǒng)協(xié)作節(jié)點(diǎn)選擇及功率分配策略[J];電子與信息學(xué)報(bào);2010年09期

7 蔣武揚(yáng);桂林卿;羅漢文;周小林;;B3G/4G協(xié)作通信中基于MCPA門限的功率分配方法[J];上海交通大學(xué)學(xué)報(bào);2009年07期

8 吳素文;呂星哉;朱近康;鄧單;;基于信道統(tǒng)計(jì)特性的中繼選擇算法[J];電子與信息學(xué)報(bào);2009年05期

9 劉丹譜;郝建軍;樂(lè)光新;;用于機(jī)會(huì)中繼的一種最佳中繼選擇算法[J];中國(guó)電子科學(xué)研究院學(xué)報(bào);2008年05期

10 高偉東;王文博;袁廣翔;彭木根;;協(xié)作通信中的中繼節(jié)點(diǎn)選取和功率分配聯(lián)合優(yōu)化[J];北京郵電大學(xué)學(xué)報(bào);2008年02期

相關(guān)博士學(xué)位論文 前1條

1 石t，

本文編號(hào)：1778547