RECIPROCAL CHANNEL SOUNDING REFERENCE SIGNAL MULTIPLEXING
    31.
    发明申请
    RECIPROCAL CHANNEL SOUNDING REFERENCE SIGNAL MULTIPLEXING 审中-公开
    接收通道声音参考信号多路复用

    公开(公告)号:WO2016148795A1

    公开(公告)日:2016-09-22

    申请号:PCT/US2016/016723

    申请日:2016-02-05

    CPC classification number: H04L5/0048 H04B7/0452 H04B7/0617 H04L5/0051

    Abstract: Systems and techniques are disclosed to enhance the efficiency of available bandwidth between UEs and base stations. A UE transmits a sounding reference signal (SRS) to the base station. The base station characterizes the uplink channel based on the SRS received and, using reciprocity, applies the channel characterization for the downlink channel. In applying the channel information, the base station forms the beam to the UE based on the uplink channel information obtained from the SRS. The UE may include an array of antennas, each UE transmitting a different SRS that the base station receives and uses to characterize the downlink. Multiple UEs (or a single UE with multiple antennas) transmit SRS at the same time and frequency allocation (non-orthogonal), but with each sending its own unique SRS. Further, multiple UEs (or a single UE with multiple antennas) may send their SRS at unique time/frequency allocations (orthogonal).

    Abstract translation: 公开了系统和技术来增强UE和基站之间可用带宽的效率。 UE向基站发送探测参考信号(SRS)。 基站基于所接收的SRS来表征上行链路信道,并且使用互易性对下行链路信道应用信道特性。 在应用信道信息时,基站根据从SRS获得的上行链路信道信息,向UE形成波束。 UE可以包括天线阵列,每个UE发射基站接收的不同的SRS,并且用于表征下行链路。 多个UE(或具有多个天线的单个UE)在同一时间和频率分配(非正交)上发送SRS,但是每个发送其自己的唯一SRS。 此外,多个UE(或具有多个天线的单个UE)可以在唯一的时间/频率分配(正交)处发送其SRS。

    APPARATUS, METHOD, AND SYSTEM FOR UPLINK CONTROL CHANNEL RECEPTION IN A HETEROGENEOUS WIRELESS COMMUNICATION NETWORK
    33.
    发明申请
    APPARATUS, METHOD, AND SYSTEM FOR UPLINK CONTROL CHANNEL RECEPTION IN A HETEROGENEOUS WIRELESS COMMUNICATION NETWORK 审中-公开
    异构无线通信网络中上行链路控制信道接收的设备,方法和系统

    公开(公告)号:WO2012112868A1

    公开(公告)日:2012-08-23

    申请号:PCT/US2012/025606

    申请日:2012-02-17

    Abstract: A method and system for improving the reception of uplink transmissions in a heterogeneous wireless communication system includes a high-power node such as a macro-cell and a low-power node such as a femto-cell or pico-cell. To address an uplink imbalance where a nearby low-power node power controls a UE such that uplink transmissions of an HSDPA control channel are poorly received at the serving cell, an RNC can instruct the UE to boost its uplink transmit power, remove the UE from soft handover, or disable power control of the UE by the low-power node. To address inter-cell interference, the RNC can limit the UE transmit power and/or enable the victim cell to suppress the interference. Further, a common control channel can be used to power control UEs outside of the convention set of UEs available for power control.

    Abstract translation: 用于改善异构无线通信系统中的上行链路传输的接收的方法和系统包括大功率节点,诸如诸如毫微微小区或微微小区之类的宏小区和低功率节点。 为了解决上行链路不平衡,其中附近的低功率节点功率控制UE,使得HSDPA控制信道的上行链路传输在服务小区不良地接收,RNC可以指示UE提升其上行链路发射功率,从UE 软切换,或者由低功率节点禁用UE的功率控制。 为了解决小区间干扰,RNC可以限制UE的发射功率和/或使受害小区能够抑制干扰。 此外,可以使用公共控制信道来为可用于功率控制的UE的规定集合外的UE供电。

    PAPR REDUCTION BASED ON PEAK REDUCTION TONES BY USING NEURAL NETWORKS

    公开(公告)号:WO2022046390A1

    公开(公告)日:2022-03-03

    申请号:PCT/US2021/044936

    申请日:2021-08-06

    Abstract: Various embodiments include methods for reducing peak to average power ratio of wireless transmission waveforms, performed in transmitter circuitry of a wireless communication. Various embodiments may include receiving frequency domain data tones, transforming the frequency domain data tones to time domain data signals, generating, using a set of peak reduction tone (PRT) neural networks, time domain PRTs using the time domain data signals in which the set of PRT neural networks have been trained in conjunction with an augmentation neural network, and a receiver neural network, generating an output of the augmentation neural network based on an input of final combined time domain signals including the time domain PRTs combined with previous combined time domain signals, and generating time domain wireless transmission waveforms that include the output of the augmentation neural network combined with the final combined time domain signals.

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