TD-LTE-A系统多点协作下的能量效率研究

发布时间：2018-12-12 15:59

【摘要】：随着无线移动通信技术持续发展,3GPP组织对TD-LTE-A系统的研究也从未停止。Co MP技术作为TD-LTE-A系统关键技术,不仅提升了系统信息的速率传输,减小了小区间的信号干扰,而且在扩展小区覆盖范围与改善系统用户吞吐量尤其是边缘用户的吞吐量方面也有较可观的提升。同时,随着通信技术的不断创新,与之相关的能量消耗也不断加剧。为了满足绿色通信的需求,系统能量效率的研究也陆续开展。因此,本文对TD-LTE-A系统Co MP下的能量效率进行深入研究。本文首先研究了TD-LTE-A系统中的Co MP技术,针对Co MP技术分类、协作集合以及网络场景进行了概括和总结。接着研究了TD-LTE-A系统中的资源分配、波束赋形和功率分配算法。对于资源分配算法,文中分析了轮询算法、最大载干比算法和比例公平算法的原理,相比于其他算法,比例公平算法不仅能够平衡系统用户间的公平性还能够提高系统容量,从而具有更好的性能;对于波束赋形算法来说,文中分析了迫零、最小均方误差、块对角化和信漏噪比算法的原理,经过仿真比较,信漏噪比波束赋形算法能够有效地降低用户间干扰,具有良好的性能;对于功率分配来说,文中介绍了注水算法的原理,经过分析可知,注水算法通过功率的最优分配能够实现系统吞吐量最优。然后,本文对TD-LTE-A同构多小区协作下的能量效率进行优化。首先分析了同构多小区协作的场景并建立系统能量效率优化模型;接着联合资源分配、波束赋形和功率分配对系统能量效率进行优化,提出了一种基于同构多小区协作的迭代优化系统能量效率算法,仿真结果表明,采用此优化算法后,在系统吞吐量略有下降的情况下,能够保证系统的能量效率最优;最后在所搭建的TD-LTE-A同构多小区协作系统级仿真平台上,对系统的性能参数进行了分析。最后,本文对TD-LTE-A异构单小区内基站与低功率RRH协作下的能量效率进行优化。首先分析了异构单小区内协作的场景并建立系统能量效率最优模型;然后通过本文所提的迭代优化算法优化系统能量效率,联合了资源分配、波束赋形和功率分配算法,取得了单小区内基站与低功率RRH协作下的能量效率最优;最后在所搭建的TD-LTE-A异构单小区内基站与低功率RRH协作系统级仿真平台上,对系统的性能参数进行了分析。
[Abstract]:With the continuous development of wireless mobile communication technology, the research of TD-LTE-A system by 3GPP organization has never stopped as the key technology of TD-LTE-A system, which not only improves the rate of transmission of system information. It can reduce the signal interference of the cell and improve the throughput of system users especially the edge users in terms of extending cell coverage and improving the throughput of system users. At the same time, with the continuous innovation of communication technology, the related energy consumption is also increasing. In order to meet the needs of green communication, the research of system energy efficiency is also carried out one after another. Therefore, the energy efficiency of TD-LTE-A system under Co MP is studied in this paper. In this paper, the Co MP technology in TD-LTE-A system is studied, and the classification of Co MP technology, collaboration set and network scene are summarized and summarized. Then, the resource allocation, beamforming and power allocation algorithms in TD-LTE-A system are studied. For resource allocation algorithm, this paper analyzes the principles of polling algorithm, maximum load to interference ratio algorithm and proportional fairness algorithm. Compared with other algorithms, proportional fair algorithm can not only balance the fairness among users but also improve the system capacity. Thus it has better performance; For the beamforming algorithm, the principle of zero forcing, minimum mean square error, block diagonalization and signal-to-noise ratio algorithm is analyzed. Through simulation and comparison, the signal-to-noise ratio beamforming algorithm can effectively reduce the interference between users. Have good performance; For power allocation, the principle of water injection algorithm is introduced in this paper. The analysis shows that the water injection algorithm can achieve the optimal system throughput through the optimal allocation of power. Then, the energy efficiency of TD-LTE-A isomorphic multi-cell collaboration is optimized. Firstly, the scene of isomorphic multi-cell collaboration is analyzed and the optimization model of system energy efficiency is established. Then, the energy efficiency of the system is optimized by combining resource allocation, beamforming and power allocation. An iterative energy efficiency algorithm based on isomorphic multi-cell collaboration is proposed. The simulation results show that the proposed algorithm can be used to optimize the energy efficiency of the system. The energy efficiency of the system can be optimized when the throughput of the system decreases slightly. Finally, the performance parameters of the system are analyzed on the platform of TD-LTE-A isomorphic multi-cell collaboration system. Finally, this paper optimizes the energy efficiency under the cooperation of base station and low power RRH in TD-LTE-A heterogeneous single cell. Firstly, the scene of cooperation in heterogeneous single cell is analyzed and the optimal model of system energy efficiency is established. Then the energy efficiency of the system is optimized by the iterative optimization algorithm proposed in this paper, which combines the resource allocation, beamforming and power allocation algorithms, and achieves the optimal energy efficiency under the cooperation of the base station and the low power RRH in a single cell. Finally, the performance parameters of the system are analyzed on the system level simulation platform between the base station and the low power RRH cooperation system in the TD-LTE-A heterogeneous single cell.
【学位授予单位】：哈尔滨工业大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TN929.5

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