基于協(xié)作通信的功率分配算法研究
發(fā)布時(shí)間:2018-01-27 22:41
本文關(guān)鍵詞: 協(xié)作通信 中繼技術(shù) 博弈論 功率分配 差分演化 出處:《哈爾濱工業(yè)大學(xué)》2014年碩士論文 論文類型:學(xué)位論文
【摘要】:無(wú)線通信系統(tǒng)中,高數(shù)據(jù)傳輸速率和高可靠性是十分重要的性能指標(biāo)。MIMO技術(shù)通過(guò)空間分集提高系統(tǒng)容量實(shí)現(xiàn)高速可靠的信號(hào)傳輸。然而由于體積、功耗等限制,在移動(dòng)終端上實(shí)現(xiàn)多天線非常困難。協(xié)作通信通過(guò)引入中繼節(jié)點(diǎn)形成虛擬的多天線系統(tǒng),將MIMO技術(shù)實(shí)用化。由于它具有有效擴(kuò)大系統(tǒng)覆蓋范圍、降低功耗并且改善通信質(zhì)量等優(yōu)勢(shì),可適用在自組網(wǎng)、蜂窩網(wǎng)以及認(rèn)知無(wú)線電網(wǎng)絡(luò)中,具有非常廣闊的應(yīng)用前景。 在協(xié)作通信中,中繼節(jié)點(diǎn)采用不同的中繼技術(shù)進(jìn)行數(shù)據(jù)轉(zhuǎn)發(fā)。由于移動(dòng)終端的資源有限,而轉(zhuǎn)發(fā)數(shù)據(jù)又需要消耗自身資源,因此系統(tǒng)的功率分配問(wèn)題是一個(gè)值得研究的問(wèn)題。本文以最小化誤符號(hào)率作為系統(tǒng)優(yōu)化指標(biāo),分別對(duì)單中繼和多中繼系統(tǒng)進(jìn)行了研究分析。 首先從協(xié)作分集基本原理入手,簡(jiǎn)要分析了協(xié)作中繼的幾種協(xié)議以及它們的優(yōu)缺點(diǎn)。接下來(lái)根據(jù)網(wǎng)絡(luò)形式不同,本文分兩方面來(lái)研究放大轉(zhuǎn)發(fā)模式下協(xié)作通信系統(tǒng)中的功率分配問(wèn)題。其一,在集中控制網(wǎng)絡(luò)中,各個(gè)節(jié)點(diǎn)都可以作為潛在的中繼節(jié)點(diǎn),因此這里只涉及如何將功率合理分配以達(dá)到有效的系統(tǒng)性能指標(biāo)。文章分別給出了單中繼和多中繼的功率分配方法:對(duì)單中繼系統(tǒng)采用直接計(jì)算法通過(guò)拉格朗日乘子給出計(jì)算結(jié)果;對(duì)多中繼系統(tǒng)采用迭代算法,引入差分演化算法進(jìn)行多中繼系統(tǒng)功率分配。并通過(guò)仿真結(jié)果驗(yàn)證給出方案對(duì)系統(tǒng)性能有所改善。其二,在分布式網(wǎng)絡(luò)中,由于節(jié)點(diǎn)的自私性和盈利性,用戶很可能拒絕轉(zhuǎn)發(fā)其他用戶的信息,因此需要有一定的激勵(lì)機(jī)制來(lái)刺激它們參與協(xié)作,通過(guò)引入博弈論,基于Stackelberg博弈模型研究了中繼選擇以及功率分配的問(wèn)題,構(gòu)建買家/賣家模型,通過(guò)引入價(jià)格機(jī)制給出源節(jié)點(diǎn)如何選擇最佳中繼以及各中繼之間功率分配問(wèn)題的解決方案,并給出具體仿真分析。
[Abstract]:In wireless communication systems, high data transmission rate and high reliability are very important performance indicators. MIMO technology improves the system capacity through spatial diversity to achieve high-speed and reliable signal transmission. However, due to volume. Because of the limitation of power consumption, it is very difficult to implement multi-antenna on mobile terminal. Cooperative communication forms virtual multi-antenna system by introducing relay nodes. It can be used in ad hoc networks, cellular networks and cognitive radio networks because of its advantages such as extending system coverage, reducing power consumption and improving communication quality. It has a very broad application prospect. In cooperative communication, relay nodes use different relay technologies for data forwarding. Due to the limited resources of mobile terminals, forwarding data needs to consume their own resources. Therefore, the power allocation problem of the system is worth studying. In this paper, the single relay system and the multi-relay system are studied and analyzed using the minimization of symbol error rate as the system optimization index. Starting with the basic principle of cooperative diversity, this paper briefly analyzes several protocols of cooperative relay and their advantages and disadvantages. In this paper, we study the power allocation problem in the cooperative communication system in the mode of amplification and forwarding. Firstly, in the centralized control network, each node can be used as the potential relay node. Therefore, it is only concerned with how to allocate power reasonably to achieve effective system performance index. This paper gives the power allocation methods of single relay and multi-relay, respectively. The direct calculation method is used to calculate the single relay system by Lagrange multiplier. Iterative algorithm is used for multi-relay system and differential evolution algorithm is introduced for power allocation of multi-relay system. The simulation results show that the scheme can improve the system performance. Secondly, in distributed network. Because of the selfishness and profitability of nodes, users are likely to refuse to forward other users' information, so they need to have some incentive mechanism to stimulate them to participate in collaboration by introducing game theory. Based on the Stackelberg game model, the problem of relay selection and power allocation is studied, and the buyer / seller model is constructed. By introducing the price mechanism, the solution to the problem of how to select the best relay and the power distribution among the relays is given, and the simulation analysis is given.
【學(xué)位授予單位】:哈爾濱工業(yè)大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類號(hào)】:TN929.5
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