一种多用户MIMO中保证QoS的能量和吞吐量联合优化方案

发布时间：2018-06-08 08:15

本文选题：联合优化 + 保证QoS　；参考：《南京邮电大学》2017年硕士论文

【摘要】：无线通信是一个非常广阔并且富有活力的领域。在过去的几十年里,无线通信技术发展十分迅速。其中,多天线(MIMO)系统可以在不增加频谱资源的前提下,提高系统信道容量,因而提高了频谱效率。根据系统内用户对时频资源的使用情况,MIMO系统可以分为单用户MIMO(SU-MIMO)和多用户MIMO(MU-MIMO)。SU-MIMO系统中,不同的用户使用不同的时频资源。MU-MIMO系统通过空分复用,多个用户使用相同的时频资源进行通信。所以MU-MIMO系统的频谱效率更高,MU-MIMO的应用也就更为广泛。MIMO系统使用多个天线,使得系统容量得到提升,但是能量消耗也随之增加。如今的无线通信领域,越来越提倡绿色发展。因而出现了能量效率(EE)这一指标,表示单位能量发送的数据量。系统容量和能量效率这两者互相约束。另外,系统内用户的业务种类多样,保证不同业务的QoS也十分重要。目前相关研究仅单一地优化系统容量或者能量效率,不能全面地考虑系统性能。本文以MU-MIMO下行链路为背景,提出了在精细化保证用户QoS的基础上,联合优化吞吐量和能量效率的算法,该算法分别在用户调度和功率分配阶段保证了时延和速率上下限要求,减少了用户数据包超时的情况;将用户速率限制在有效范围内,提升了系统有效容量。本文算法能够同时获得较大的能量效率和吞吐量。最终结果表明:该文算法在能量和吞吐量这两方面优于现有算法方案,并且能够更加精细地控制用户数据包超时情况和有效速率大小。
[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.
【学位授予单位】：南京邮电大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN919.3

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