Abstract:
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.
Abstract:
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.
Abstract:
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 RZ(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.
Abstract:
The present invention provides a polymeric scaffold containing an antibacterial photoactive drug and optionally comprising seeded cells such as stem cells. The invention also includes methods of using the scaffold for tissue regeneration, prevention or reduction of infection whilst tissue regeneration occurs, methods for improving graft or implant survival, promoting scaffold integration and tissue repair and wound healing.
Abstract:
The invention features methods and compositions for promoting the growth and differentiation of dental pulp stem cells and the use of the differentiated cells for the treatment of orthopedic conditions.
Abstract:
Embodiments of apparatuses, articles, methods, and systems for calibrating receive chain to reduce second order intermodulation distortion are disclosed herein. The embodiments may be employed, e.g., to manage power in wireless networks. Other embodiments and usages may be described and claimed.
Abstract:
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 Rz (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.
Abstract:
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.
Abstract:
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.
Abstract:
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.