Intel Corporation

Beijing Zitiao Network Technology Co., Ltd.

Xuebin Yang

Xu Zhang

Peng Cheng

Changlong Xu

Satish Chandra Jha

Geng Wu

Qian Li

Guangjie Li

Stewart S Taylor

Thushara Hewavithana

Yang Gao

Dawei Ying

Lu Lu

Vesh Raj Sharma Banjade

David Arditti Ilitzky

Hassan Ghozlan

Senjie Zhang

Tin-Fook Ngai

Zhiyuan Zhang

Feng Zhou

Brent R Carlton

Xiangbin Wu

Yaser M Fouad

Joonbeom Kim

Xinxin Zhang

Qianying Zhu

Jingyi Ma

Shunyu Zhu

Yuzhou Zhang

Song Noh

Xiaoyun May Wu

Xiaochun Zhang

Qingyu Lai

Chenxi Yue

Yuwen Liu

Display screen or portion thereof with a graphical user interface

Display screen or portion thereof with an animated graphical user interface

Various strategies and devices for same are disclosed to correct for/mitigate frequency offset (such as due to differing accuracies between an oscillator of a transmitting device and an oscillator of a receiving device) and Doppler shift (such as due to a changing relative position between a receiving device and a transmitting device). These strategies may be employed in a MIMO setting, such as, e.g. a stationary base station and a plurality of terminal devices (e.g. user devices, mobile stations, etc.), in which the transmissions for each terminal device may be associated with a different frequency offset and a different Doppler shift.

Carrier frequency offset correction and doppler mitigation

A front-end unit that operates within a C-RAN architecture to perform the functions of cellular signal processing and resource selection between an RRU and the BBU pool network is described. The front-end unit supports flexible load migration and CoMP (coordinated multipoint) in the CRAN BBU while also reducing data transmission within the BBU pool network or between the BBU pool network and the RRU.

C-RAN front-end preprocessing and signaling unit

Embodiments of an enhanced Node B (eNB) configured for use in a cooperative radio access networks (C-RAN) and method for central baseband unit (BBU) processing are generally described herein. In some embodiments, the eNB may include a baseband unit (BBU) processing pool comprising a plurality of processing units. The BBU processing pool is configured to share the processing load of several sectors. A control unit may monitor the processing load of the processing units and perform dynamic load sharing by migrating the baseband processing between the processing units without changing a carrier used by user equipment operating with a sector.

Cooperative radio access network with centralized base station baseband unit (BBU) processing pool

A system and method for uplink channel estimation for a software defined radio is disclosed. The method comprises dividing an allocated bandwidth for a received signal on the uplink channel into N segments. The uplink channel estimation is processed for each of the N segments as a separate process. The uplink channel estimation includes pre-processing each of the N segments of the received signal; Wiener filtering the pre-processed segments of the received signal in the frequency domain; and Wiener filtering each of the frequency filtered segments in the time domain to determine a channel estimate for each of the N segments for use in equalizing the received signal.

Uplink channel estimation for a software defined radio

A system and methods for estimating a noise power level in an uplink signal for a virtual MIMO system is disclosed. The system comprises a demodulation reference signal (DMRS) module configured to obtain a DMRS receive symbol from the uplink signal and determine a DMRS sequence for a first UE in the virtual MIMO system. An autocorrelation module is configured to calculate an average autocorrelation value for the subcarriers in the uplink signal. A cross-correlation module is configured to calculate first and second cross-correlation values of the uplink signal R(l) for values of l selected such that the sum of the received power from the first UE and the second UE can be accurately estimated. A noise power level module is configured to determine the noise power level for the uplink signal using the average autocorrelation value and the first and second cross correlation values.

Uplink noise estimation for virtual MIMO

Embodiments of apparatuses, articles, methods, and systems for calibrating receive chain to reduce second order intermodulation distortion are disclosed herein. In some embodiments, a reference sensing chain is used to generate reference second-order intermodulation distortion signals that may be used to adjust a calibration code. In some embodiments, a calibration code may be adjusted using one or more feedback loops of a baseband amplifier. The embodiments may be employed, e.g., to manage power in wireless networks. Other embodiments and usages may be described and claimed.

Calibrating receive chain to reduce second order intermodulation distortion

Growing community of inventors

Beijing, China

Xuebin Yang