本文選題：聯(lián)合優(yōu)化 + 保證QoS�。� 參考：《南京郵電大學(xué)》2017年碩士論文

【摘要】：無(wú)線通信是一個(gè)非常廣闊并且富有活力的領(lǐng)域。在過(guò)去的幾十年里,無(wú)線通信技術(shù)發(fā)展十分迅速。其中,多天線(MIMO)系統(tǒng)可以在不增加頻譜資源的前提下,提高系統(tǒng)信道容量,因而提高了頻譜效率。根據(jù)系統(tǒng)內(nèi)用戶對(duì)時(shí)頻資源的使用情況,MIMO系統(tǒng)可以分為單用戶MIMO(SU-MIMO)和多用戶MIMO(MU-MIMO)。SU-MIMO系統(tǒng)中,不同的用戶使用不同的時(shí)頻資源。MU-MIMO系統(tǒng)通過(guò)空分復(fù)用,多個(gè)用戶使用相同的時(shí)頻資源進(jìn)行通信。所以MU-MIMO系統(tǒng)的頻譜效率更高,MU-MIMO的應(yīng)用也就更為廣泛。MIMO系統(tǒng)使用多個(gè)天線,使得系統(tǒng)容量得到提升,但是能量消耗也隨之增加。如今的無(wú)線通信領(lǐng)域,越來(lái)越提倡綠色發(fā)展。因而出現(xiàn)了能量效率(EE)這一指標(biāo),表示單位能量發(fā)送的數(shù)據(jù)量。系統(tǒng)容量和能量效率這兩者互相約束。另外,系統(tǒng)內(nèi)用戶的業(yè)務(wù)種類多樣,保證不同業(yè)務(wù)的QoS也十分重要。目前相關(guān)研究?jī)H單一地優(yōu)化系統(tǒng)容量或者能量效率,不能全面地考慮系統(tǒng)性能。本文以MU-MIMO下行鏈路為背景,提出了在精細(xì)化保證用戶QoS的基礎(chǔ)上,聯(lián)合優(yōu)化吞吐量和能量效率的算法,該算法分別在用戶調(diào)度和功率分配階段保證了時(shí)延和速率上下限要求,減少了用戶數(shù)據(jù)包超時(shí)的情況;將用戶速率限制在有效范圍內(nèi),提升了系統(tǒng)有效容量。本文算法能夠同時(shí)獲得較大的能量效率和吞吐量。最終結(jié)果表明:該文算法在能量和吞吐量這兩方面優(yōu)于現(xiàn)有算法方案,并且能夠更加精細(xì)地控制用戶數(shù)據(jù)包超時(shí)情況和有效速率大小。
[Abstract]:Wireless communication is a very broad and dynamic field. In the past few decades, wireless communication technology has developed very rapidly. Among them, the multi-antenna MIMO-system can increase the channel capacity without increasing the spectrum resources, thus improving the spectral efficiency. According to the use of time-frequency resources by users in the system, MIMO system can be divided into single-user MIMO-SU-MIMO-MIMO-MIMO-MIMO-MIMO-MU-MIMO-SU-MIMO systems, in which different users use different time-frequency resources. MU-MIMO systems are multiplexed by space division. Multiple users communicate using the same time-frequency resources. Therefore, the MU-MIMO system is more efficient in spectrum efficiency and more widely used in MU-MIMO system. Multiple antennas are used in MU-MIMO system, which makes the system capacity increase, but the energy consumption also increases. Nowadays, green development is more and more advocated in the field of wireless communication. Energy efficiency (EEE), which represents the amount of data transmitted per unit energy. The capacity and energy efficiency of the system are constrained by each other. In addition, it is very important to ensure the QoS of different services because of the variety of user services in the system. At present, only single optimization of system capacity or energy efficiency is studied, and system performance can not be considered comprehensively. Based on the MU-MIMO downlink, this paper proposes a joint optimization algorithm for throughput and energy efficiency based on the refinement of user QoS. The algorithm ensures the time delay and the rate upper and lower limits in the stage of user scheduling and power allocation, respectively. It reduces the timeout of the user data packet, and limits the user rate to the valid range, which increases the effective capacity of the system. The proposed algorithm can achieve high energy efficiency and throughput at the same time. The final results show that the proposed algorithm is superior to the existing schemes in terms of energy and throughput, and it can more precisely control the timeout of user packets and the size of effective rate.
【學(xué)位授予單位】：南京郵電大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TN919.3

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本文編號(hào)：1995292