發(fā)布時(shí)間：2018-07-25 08:33

【摘要】：隨著當(dāng)今多媒體業(yè)務(wù)的爆炸式增長(zhǎng)和人們對(duì)高速率傳輸網(wǎng)絡(luò)的迫切需求,無(wú)線局域網(wǎng)得到迅速發(fā)展與普及。無(wú)線局域網(wǎng)協(xié)議802.11ac中,MU-MIMO(Multi-Users Multiple-Input Multiple-Output)傳輸可以大幅提高數(shù)據(jù)傳輸率速率,但是考慮到有限的無(wú)線資源與多媒體業(yè)務(wù)不斷提高的服務(wù)質(zhì)量要求之間的矛盾,如何在資源調(diào)度時(shí)平衡公平性和系統(tǒng)性能成為當(dāng)今的研究熱點(diǎn)問(wèn)題之一�，F(xiàn)有資源調(diào)度算法大多強(qiáng)調(diào)對(duì)無(wú)線資源的最佳利用,而忽視了用戶服務(wù)質(zhì)量和公平性,或者僅考慮分配的公平性和系統(tǒng)性能而沒(méi)有考慮到用戶實(shí)際業(yè)務(wù)的服務(wù)質(zhì)量需求。針對(duì)上述問(wèn)題,本文首次在MU-MIMO的流分配中同時(shí)考慮了用戶服務(wù)質(zhì)量、比例公平以及系統(tǒng)性能三個(gè)因素并提出了一種新的資源調(diào)度算法。本文所提算法不僅能為不同的業(yè)務(wù)提供相應(yīng)的服務(wù)質(zhì)量保證,而且可以有效提高資源調(diào)度的比例公平性而不會(huì)使系統(tǒng)的性能受到太大的影響。該算法在交叉熵算法的基礎(chǔ)上引入松弛因子、剩余因子以及用戶權(quán)值三個(gè)參數(shù),在不同資源狀態(tài)下,通過(guò)在迭代過(guò)程中實(shí)時(shí)調(diào)整以上三個(gè)參數(shù)的值來(lái)得到滿足不同目標(biāo)的資源調(diào)度結(jié)果。在無(wú)線資源不足的情況下,該算法的優(yōu)化目標(biāo)為使各用戶所分資源達(dá)到其服務(wù)質(zhì)量的相同比值,此時(shí)公平性是主要目標(biāo),提高系統(tǒng)性能是次要目標(biāo);而在資源充足的情況下,優(yōu)化目標(biāo)則變?yōu)樵诒ＷC用戶服務(wù)質(zhì)量的前提下盡可能提高系統(tǒng)性能,此時(shí)提高系統(tǒng)性能是主要目標(biāo),用戶間資源調(diào)度的公平性是次要目標(biāo)。為了驗(yàn)證算法的有效性,本文將所提算法分別應(yīng)用于確定性鏈路速率條件下單基站系統(tǒng)和多基站網(wǎng)絡(luò)兩種模型,仿真結(jié)果表明,該改進(jìn)算法能實(shí)現(xiàn)用戶間資源調(diào)度的公平性和系統(tǒng)吞吐量最大的良好折中。此外,本文針對(duì)時(shí)變鏈路速率網(wǎng)絡(luò),通過(guò)在已有的多基站協(xié)作的全局比例公平調(diào)度算法中引入松弛因子、剩余因子以及用戶權(quán)值三個(gè)參數(shù),并根據(jù)服務(wù)質(zhì)量需要來(lái)實(shí)時(shí)調(diào)節(jié)資源的調(diào)度,從而實(shí)現(xiàn)用戶時(shí)間平均吞吐量的比例公平。仿真表明,該改進(jìn)算法能夠得到滿足比例公平的調(diào)度結(jié)果。
[Abstract]:With the explosive growth of multimedia services and the urgent need of high-speed transmission networks, WLAN has been rapidly developed and popularized. MU-MIMO (Multi-Users Multiple-Input Multiple-Output) transmission in WLAN protocol 802.11ac can greatly improve the rate of data transmission, but considering the contradiction between the limited wireless resources and the increasing quality of service requirements of multimedia services. How to balance fairness and system performance in resource scheduling has become one of the hot issues. Most of the existing resource scheduling algorithms emphasize the best use of wireless resources, but neglect the quality of service and fairness of users, or only consider the fairness of allocation and system performance without considering the QoS requirements of users' actual services. In order to solve the above problems, this paper firstly considers the three factors of user quality of service, proportional fairness and system performance in the flow allocation of MU-MIMO, and proposes a new resource scheduling algorithm. The proposed algorithm can not only guarantee the quality of service for different services, but also effectively improve the proportional fairness of resource scheduling without greatly affecting the performance of the system. On the basis of cross-entropy algorithm, the algorithm introduces three parameters: relaxation factor, residual factor and user weight. By adjusting the values of the above three parameters in real time during the iteration process, the resource scheduling results satisfying different objectives are obtained. In the case of lack of wireless resources, the optimization goal of the algorithm is to achieve the same ratio of quality of service (QoS) to the resources allocated by each user. At this time, fairness is the main goal, and the improvement of system performance is the secondary objective, while in the case of sufficient resources, the main objective is fairness. The optimization goal is to improve the system performance as much as possible under the premise of guaranteeing the user's quality of service. In this case, the main goal is to improve the system performance, and the fairness of resource scheduling between users is the secondary goal. In order to verify the validity of the algorithm, the proposed algorithm is applied to two models of deterministic link rate conditional sending order base station system and multi-base station network respectively. The simulation results show that, The improved algorithm can achieve a good compromise between the fairness of resource scheduling between users and the maximum system throughput. In addition, for time-varying link rate networks, by introducing relaxation factor, residual factor and user weight into the existing global proportional fair scheduling algorithm of multi-base station cooperation, this paper introduces three parameters: relaxation factor, residual factor and user weight. According to the need of quality of service, the scheduling of resources is adjusted in real time to realize the fair proportion of the average throughput of user time. Simulation results show that the improved algorithm can achieve proportional fair scheduling results.
【學(xué)位授予單位】：西安電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：TN925.93

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