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1. 发明申请

WO2012016121A1 SENSOR-BASED WIRELESS COMMUNICATION SYSTEMS USING COMPRESSIVE SAMPLING 审中-公开
标题翻译：基于传感器的无线通信系统采用压缩采样
公开(公告)号：WO2012016121A1
公开(公告)日：2012-02-02
申请号：PCT/US2011/045854
申请日：2011-07-29
申请人： RESEARCH IN MOTION LIMITED , SEXTON, Thomas A. , DEVRIES, Christopher A.
发明人： SEXTON, Thomas A. , DEVRIES, Christopher A.
IPC分类号： H03M7/30
CPC分类号： H03M7/30 , H03M1/129 , H04L67/12
摘要： Methods, devices and systems for sensor-based wireless communication systems using compressive sampling are provided. In one embodiment, the method for sampling signals comprises receiving, over a wireless channel, a user equipment transmission based on an S-sparse combination of a set of vectors; down converting and discretizing the received transmission to create a discretized signal; correlating the discretized signal with a set of sense waveforms to create a set of samples, wherein a total number of samples in the set is equal to a total number of sense waveforms in the set, wherein the set of sense waveforms does not match the set of vectors, and wherein the total number of sense waveforms in the set of sense waveforms is fewer than a total number of vectors in the set of vectors; and transmitting at least one sample of the set of samples to a remote central processor.
摘要翻译：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。在一个实施例中，用于采样信号的方法包括：通过无线信道，基于一组向量的S稀疏组合来接收用户设备传输; 下转换和离散接收的传输以产生离散化信号; 将离散化信号与一组感测波形相关联以产生一组采样，其中该组中的采样的总数等于该组中的感测波形的总数，其中该组感测波形与该组不匹配并且其中所述感测波形组中的感测波形的总数小于所述矢量集合中的矢量的总数; 以及将所述一组样本的至少一个样本发送到远程中央处理器。

2. 发明申请

WO2011085368A1 SENSOR-BASED WIRELESS COMMUNICATION SYSTEMS USING COMPRESSED SENSING WITH SPARSE DATA 审中-公开
标题翻译：基于传感器的无线通信系统使用压缩感应与数据数据
公开(公告)号：WO2011085368A1
公开(公告)日：2011-07-14
申请号：PCT/US2011/020829
申请日：2011-01-11
申请人： RESEARCH IN MOTION LIMITED , NGUYEN, Nam , SEXTON, Thomas A.
发明人： NGUYEN, Nam , SEXTON, Thomas A.
IPC分类号： H03M7/30
CPC分类号： H04W72/082 , H03M7/30 , H04W24/08
摘要： 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.
摘要翻译：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，并且它们的信号由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。

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