LTE-A系统中改进的信道估计算法的研究及实现

先进的长期演进(LTE-A)系统接收端需要对多径信道进行动态估计和跟踪,以满足相干解调的目的,准确而有效的信道估计方法可以提高数据传输速率。针对线性最小均方误差(LMMSE)信道估计矩阵求逆运算复杂度大的问题,提出一种基于GaussSeidel算法的低复杂度的LMMSE算法。通过对基于导频的几种常用的信道估计算法进行对比分析和研究,得到的LMMSE算法具有较低的误比特率和算法复杂度。最后基于Gauss-Seidel算法,分别设计了低复杂度LMMSE算法的各个子模块的DSP实现方案。

一种新型的基于效用函数的LTE-A系统预编码资源调度算法

为了消除共信道干扰(CCI),研究了LTE-A系统基于码本的预编码算法,与用户调度算法相结合,提出了一种基于效用函数的调度算法。该算法计算系统内所有用户的时延和速率效用函数,并判定用户的优先级,长时延或低速率的用户将被优先调度。仿真结果表明,基于效用函数的调度算法,在保证用户吞吐率的前提下,与最大吞吐率调度算法相比,兼顾了时间公平性;与比例公平调度算法相比,有更小的时间和空间复杂度,更适用于小区用户拥挤的场景。

LTE-A系统中基于扩展CP的Rank 3-4解调参考信号设计

为了支持先进的长期演进（LTE-A）中更高阶多输入多输出（MIMO）技术，为物理下行链路共享信道（PDSCH）定义了新的解调参考信号（DMRS）。先提出了基于扩展循环前缀（CP）的参考信号设计原则，根据已确定的基于常规CP的参考信号设计方案，提出了4种基于扩展CP的Rank 3，4参考信号设计方案。为了验证设计方案的优劣，通过仿真比较了不同参考信号设计方案估计的信道和理想信道的均方误差（MSE）和相应的误块率（BLER），最终确定最佳的扩展CP的Rank 3，4参考信号设计方案。

LTE-A空口监测仪下行基带板的可行性分析

针对国内研制出的多类仪器仪表中基带板的设计仅限于通过实现来验证其可行性的问题,提出在基带板设计之前对可行性进行分析,防止在实现时芯片资源不足而导致人力和时间等资源的浪费,同时为增强型长期演进空口监测仪中基带板的设计提供参考。根据增强型长期演进特性以及监测仪需求确定核心处理器的选型;重点对基带板上存储器的存储能力和总线能力进行分析,确保所选的元器件有足够的能力并留有一定的余量;最终通过在基带板上的测试证明该可行性分析的正确性,也为其他的硬件芯片选型提供参考。

Impact of antenna and beam-selection-based sectored relay planning for 備 performance evaluation of 4G LTE-A tri-sectored cell

The deployment of Relay Nodes (RNs) in 4G LTE-A networks, mainly originating from the wireless backhaul link, provides an excellent network planning tool to enhance system performance. Better coordination between the base station and relays to mitigate inter-cell interference becomes an important aspect of achieving the required system performance, not only in the single-cell scenario, but also in multi-cell scenarios. In this paper, we model and analyze two basic approaches for designing a 4G LTE-A tri-sectored cellular system. The approaches are based on Antenna Selection Sectored Relaying (ASSR) and Beam Selection Sectored Relaying (BSSR). The main purpose of the proposed schemes is to enhance system performance by improving the quality of the wireless relay backhaul link. In this technique, antenna selection takes into consideration Non-Line-Of-Sight (NLOS) communication, whereas BSSR considers the case of Line-Of-Sight (LOS) communication using heuristic beam forming approach. The resource allocation problem has also been investigated for relay based cooperative LTE-A trisectored cell in the downlink. The best possible location for relay node in the sector, power allocation and MIMO channel modeling is formulated as an optimization problem with the aim of maximizing the end to end link rate and the Signal to Interference plus Noise Ratio (SINR) of 4G LTE-A systems. Power allocation/optimization has been solved by means of the duality equation of the stationary Karush-Kuhn-Tucker (KKT) cond让ion and is used to derive optimal values for the beam forming vector on both the relay as well as the access link. The performance of the proposed scheme is verified through simulations carried out using MATLAB software. The simulation results show a significant improvement in the SINR, throughput capacity, and coverage area of the 4G LTE-A cell, while guaranteeing better quality of service.

TCP TRAFFIC PERFORMANCE IMPROVING IN LTE-A NETWORKS

This paper presents a novel way to improve Transmission Control Protocol (TCP) performance of the users at the edge areas of the macro cells in Long Term Evolution Advanced (LTE-A) systems. Previous works on improving wireless TCP performance are reviewed and current considerations on TCP in LTE-A are explained. However, those solutions are neither too complex nor limited to some presuppositions which are too restricting for the deployment of LTE-A networks. In this paper a substituted TCP acknowledgement transmission scheme based on Automatic Repeat reQuest (ARQ) information in layer 2 is proposed. The simulation result shows that the proposed method can reduce the delay and improve the throughput of the edging users of the cell, as well as reducing radio resources in LTE-A macro cells.

基于强化学习的M2M通信上行链路节能优化算法

针对机器对机器(machine-to-machine,M2M)通信在加强的长期演进(long term evolution-advanced,LTE-A)网络上行链路能量效率问题,文章提出了一种基于强化学习的M2M通信上行链路节能优化算法。首先建立M2M通信能量效率模型,并将其重构为二维背包问题;然后使用强化学习的方法,引进并训练指针网络模型;最后通过主动搜索的策略解决该背包问题。仿真结果表明,相比于经典算法,当设备规模很大时,该算法性能更优,保证设备服务质量(quality of service,QoS)需求和公平性的同时,优化系统能效并降低数据的丢包率。

LTE-A系统PUCCH传输分集信道估计算法

针对先进的长期演进(LTE-advanced,LTE-A)系统中,物理上行链路控制信道(physical uplink control channel,PUCCH)采用空间正交资源传输分集方式发送上行控制信息时,两发射天线端口通过使用不同的循环移位使参考信号正交的特点,提出一种特殊形式的信号模型,并描述了基于最小二乘(least square,LS)和三次样条插值,基于LS和离散余弦变换(discrete cosine transform,DCT)插值以及基于最小均方误差(minimum mean square error,MMSE)和DCT的3种复杂度依次增加的信道估计算法。仿真结果表明,基于MMSE和DCT的信道估计算法性能最优。

LTE-A中继网络中的终端省电机制研究

中继技术是先进的长期演进(long term evolution advanced,LTE-A)系统中的关键技术之一,针对LTE-A中继网络中的终端功耗问题,提出基于虚拟多输入多输出(virtual multiple input multiple output,V-MIMO)的终端省电机制,首先利用中继协作式V-MIMO进行数据传输,并将中继功能集成入LTE-A智能终端内部,结合软件协议能使终端提升特定场景下的通信性能。计算机仿真结果显示,使用该方案时,终端在较低发射功率条件下仍可有效降低传输误码率,保证正常通信,提升用户体验度。

基于信干噪比的LTE-A跨载波聚合分量载波分配方案

针对先进的长期演进(long term evolution advanced,LTE-A)系统中跨载波聚合技术下的频谱效率问题,考虑到载波衰减特性不同,研究发现,过多的控制开销限制了低频分量载波良好的数据承载能力,为此,提出基于信干噪比(signal to interference plus noise ratio,SINR)的分量载波分配方案。该方案根据控制信息能否被正确解调将用户进行分组,然后针对不同分组的用户分配不同的主分量载波,从而减少低频分量载波承载的控制信息开销,提高频谱效率。仿真结果表明,改进的分配方案有效地提高了小区总吞吐量。