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    • 3. 发明申请
    • ADAPTIVE PILOT PLACEMENT FOR ESTIMATION OF VEHICLE-TO-VEHICLE WIRELESS CHANNEL
    • 用于估计车辆到车辆无线通道的自适应导频放置
    • US20140269357A1
    • 2014-09-18
    • US13800423
    • 2013-03-13
    • Sagar DhakalNam NguyenJames Earl Womack
    • Sagar DhakalNam NguyenJames Earl Womack
    • H04W28/06H04W24/08
    • H04W28/06H04L5/0048H04L5/0069H04W24/08
    • A system and method that may facilitate transmission bandwidth savings in non-stationary vehicle-to-vehicle wireless communication channels. At a transmitting vehicle, a transmitter may adaptively change the number of pilot symbols or pilot rate within a frame based upon the current channel statistics. The transmitter may utilize a look-up table approach to select a best pilot rate based upon current conditions associated with the transmitting vehicle, and/or a new frame structure to transmit pilot rate information. At the receiving vehicle, the receiver may be configured to detect a unique waveform transmitted by the transmitting vehicle to estimate the pilot rate information. Alternatively, the receiver on the receiving vehicle may be configured to predict and verify the pilot rate information from an encoded data symbol embedded within a frame transmitted by the transmitting vehicle, which may entail a detection algorithm using encoded data symbols and/or an estimation algorithm using channel statistics.
    • 可以促进非固定车对无线通信信道中的传输带宽节省的系统和方法。 在发送车辆上,发射机可以基于当前信道统计自适应地改变一帧内的导频符号或导频频率的数量。 发射机可以利用查找表方法来选择基于与发射车辆相关联的当前条件的最佳导频,和/或用于发送导频速率信息的新帧结构。 在接收车辆中,接收机可以被配置为检测由发送车辆发送的唯一波形以估计导频信息。 或者,接收车辆上的接收机可以被配置为从嵌入在由发送车辆发送的帧内的编码数据符号预测和验证导频信息,其可能需要使用编码数据符号的检测算法和/或估计算法 使用渠道统计。
    • 9. 发明申请
    • SENSOR-BASED WIRELESS COMMUNICATION SYSTEMS USING COMPRESSED SENSING WITH SPARSE DATA
    • 基于传感器的无线通信系统使用压缩感应与数据数据
    • US20130070624A1
    • 2013-03-21
    • US13521557
    • 2011-01-11
    • Nam NguyenThomas Aloysius Sexton
    • Nam NguyenThomas Aloysius Sexton
    • H04W72/08H04W24/08
    • H04W72/082H03M7/30H04W24/08
    • Methods, devices and systems for sensor-based wireless communication systems using compressive sampling are provided. L User Equipments (mobile stations) transmit signals with sparsity S and their signals are compressively sensed to M samples by Z remote samplers (a distributed antenna arrangement) and the uplink channel is estimated by a central processor (the “central brain”). For a given system signal to noise ratio, retained samples M and sparsity S, we approximate the loss in sum mutual information due to imperfect knowledge of the channel. The approximation is premised on a lower bound of the mutual information which accounts for the power in the channel estimation error. Also, throughput results are given for adaptively adjusting the sparsity of multiple users' transmit signals based on channel fading.
    • 提供了使用压缩采样的基于传感器的无线通信系统的方法,设备和系统。 L用户设备(移动站)以稀疏S发送信号,并且它们的信号被Z个远程采样器(分布式天线布置)压缩感测到M个采样,并且由中央处理器(中央大脑)估计上行链路信道。 对于给定的系统信噪比,保留样本M和稀疏度S,由于信道的不完全知识,我们近似和信息中的丢失。 近似值是基于信道估计误差中的功率的互信息的下限。 此外,给出了基于信道衰落自适应地调整多个用户的发射信号的稀疏性的吞吐量结果。