下一代蜂窝网络中多小区传输系统优化干扰抑制的关键技术研究

发布时间：2018-06-26 09:27

本文选题：下一代 + 蜂窝　；参考：《北京邮电大学》2014年博士论文

【摘要】：在过去的几十年中,移动通信系统应用大幅增长,无线蜂窝网络中的数据通信更是以指数速度增长。传统的蜂窝网络和无线技术正面临着前所未有的挑战,为了满足日益增长的数据流量需求。下一代无线蜂窝网络的目标是满足高数据传输速率、低延迟和高容量的要求。提高数据传输速率的关键是提高蜂窝网络的频谱利用率。在蜂窝网络中,多输入多输出(MIMO)技术可以显著提高系统的吞吐量和频谱利用率,且该技术已被下一代无线蜂窝网络采用。然而,MIMO技术在多小区环境应用时,其增益易受较强小区间干扰而减小。且由于正交频分多址(OFDMA)具有良好的扩展性和灵活性,下一代无线蜂窝网络采用OFDMAo使用OFDMA在理想情况下可以消除小区间干扰,但环境仍受有限小区间干扰的限制。除此以外,下一代无线蜂窝网络中的通用频率复用也会导致严重的小区间干扰。因此,下一代无线蜂窝网络的性能从根本上受限于小区间干扰,尤其影响在小区边缘的用户。综上,需要预先干扰缓解技术以提高下一代无线蜂窝网络的性能。多小区发送(Multi-cell transmission),也称为协调多点传输,已成为有发展前景的关键技术,可在下一代无线蜂窝网络有效地减轻小区间干扰,在提高小区边缘用户的吞吐量,频谱利用率和覆盖范围方面也有很大的潜力。然而,多小区发送在实际系统中实施方面仍面临着多种严峻挑战和关键技术问题。反馈开销、回程传输开销、系统复杂度、以及小区平均吞吐量和小区边缘用户吞吐量之间的协调是多小区发送中的关键问题。改善和优化多小区发送技术,以有效改善下一代无线蜂窝网络的小区间干扰抑制性能,成为研究重点。本文提出一种全新的、频谱利用率更高的多小区传输方案,可以以反馈和回程传输开销增量最小的条件下,有效地降低小区间干扰。已有成熟的技术显著地提高了小区边缘用户性能。此外,本文提出的解决方案的计算和系统的复杂性显著降低。在下一阶段,研究工作着重研究各种频谱利用率,低复杂度的方案,以进一步改进和优化系统性能,有效地降低小区间干扰,同时提高小区边缘性能以及平均小区性能。本文所提出的解决方案可以减少反馈和回程传输的开销,同时降低系统复杂度,并且显著提高了平均系统吞吐量,小区边缘用户吞吐量,平均频谱利用率以及小区边缘用户频谱利用率。除此之外,线性预编码技术用也进一步降低了统的计算复杂度。本文提出的解决方案对于系统性能的提高和系统复杂度提出了一个非常有效的权衡办法,同时系统有更好的公平性。在工作的最后阶段,对研究进行扩展,有效地减小多层异构网络部署的跨层干扰。本文提出了多种全新、频谱利用率多小区传输方案,有效地减小跨层的多层异构网络中的干扰。主要利用多小区发送,以减小反馈和回程传输开销以及系统复杂度的独特方式改善和优化异构网络的性能,并显著减少开销和系统的复杂性。这有效地减小了跨层干扰并且显著提高了小区边缘用户的性能。此外,通过提高频谱利用率,降低传输复杂性技术从而对系统性能进一步完善和优化,同时也提高了小区边缘性能以及平均小区多层异构网络的性能。本文提出的解决方案也减小了反馈和回程开销,以及系统复杂性。
[Abstract]:In the past few decades, the applications of mobile communication systems have increased greatly. Data communications in wireless cellular networks have increased exponentially. Traditional cellular networks and wireless technologies are facing unprecedented challenges. In order to meet the growing demand for data traffic, the goal of the next generation of wireless cellular networks is to meet high data transmission. Transmission rate, low delay and high capacity requirements.
The key to improving the data transmission rate is to improve the spectrum utilization of cellular networks. In cellular networks, multi input and multiple output (MIMO) technology can significantly improve the throughput and spectrum utilization of the system, and the technology has been adopted by the next generation of wireless cellular networks. However, the gain of the MIMO technology is easier to be less vulnerable to the multi cell environment. Interval interference is reduced. And due to the good scalability and flexibility of orthogonal frequency division multiple access (OFDMA), next generation wireless cellular networks use OFDMAo to eliminate inter cell interference in the ideal situation using OFDMA, but the environment is still restricted by limited inter cell interference. In addition, the general frequency reuse in the next generation of wireless cellular networks As a result, the performance of the next generation wireless cellular networks is fundamentally limited to inter cell interference, especially to the users on the edge of the cell. To sum up, the performance of the next generation of wireless cellular networks needs to be interfered with in advance.
Multi cell transmission (Multi-cell transmission), also known as coordinated multipoint transmission, has become a key technology for future development. It can effectively reduce inter cell interference in the next generation of wireless cellular networks. It also has great potential to improve the throughput of cell edge users, spectrum utilization and coverage. However, multi cell transmission is real. The implementation of the system is still facing a variety of severe challenges and key technical problems. Feedback overhead, return transmission overhead, system complexity, and the coordination between cell average throughput and cell edge user throughput are the key problems in multi cell transmission. The inter cell interference suppression performance of line cellular networks is the focus of research. This paper proposes a new multi cell transmission scheme with higher spectrum utilization rate, which can effectively reduce inter cell interference with the minimum increment of feedback and return transmission overhead. The existing mature technology has significantly improved the performance of the cell edge users. In the next stage, the research work focuses on various spectrum utilization and low complexity schemes to further improve and optimize the performance of the system, effectively reduce inter cell interference, and improve cell edge performance and average cell performance. The solution can reduce the overhead of feedback and backhaul transmission, reduce the complexity of the system, and significantly improve the average system throughput, the cell edge user throughput, the average spectrum utilization and the cell edge user spectrum utilization. In addition, the Linear Precoding technology also further reduces the complexity of the system. The solution proposed in this paper provides a very effective trade-off for system performance improvement and system complexity, and at the same time, the system has better fairness.
In the last stage of the work, the research is extended to effectively reduce cross layer interference in multi-layer heterogeneous network deployment. In this paper, a variety of new, spectrum utilization multiple cell transmission schemes are proposed to effectively reduce interference in cross layer heterogeneous networks. The main use of multi cell sending is used to reduce the cost of feedback and return transmission and the system. The unique way of complexity improves and optimizes the performance of heterogeneous networks, and significantly reduces the overhead and complexity of the system. This effectively reduces the cross layer interference and significantly improves the performance of the cell edge users. In addition, the system performance is further improved and optimized by increasing the spectrum utilization and reducing the transmission complexity. It also improves the performance of the cell edge and the average cell multi-layer heterogeneous network. The proposed solution also reduces the feedback and return overhead, as well as the system complexity.
【学位授予单位】：北京邮电大学
【学位级别】：博士
【学位授予年份】：2014
【分类号】：TN929.53

【参考文献】