Abstract:
A method of wireless communication includes adjusting a channel quality indicator (CQI) to compensate for coexistence interference experienced between communication resources (such as an LTE radio and a Bluetooth radio). The CQI may be set to zero, falsely indicating to a serving enhanced NodeB that a UE is out of range, thereby creating a gap in LTE operation that may be used by an alternate radio access technology. To compensate for fluctuating interference, the CQI may be adjusted to incorporate average coexistence interference over a period of time. Alternatively, the CQI at a time may incorporate coexistence interference regardless of whether interference is experienced at that specific time. A CQI value may also be boosted to compensate for a CQI backoff. CQI may be adjusted to avoid a spiral of death effect.
Abstract:
Interference between potentially conflicting radio access technologies (RATs) in a wireless device may be managed through a coexistence manager which allows communication using a first active RAT (e.g., Long Term Evolution (LTE)) and communication with a second active RAT (e.g., wireless local area network (WLAN)) when the first RAT is not scheduled for communicating during an uplink timeslot. Communications by a WLAN radio may be controlled using a power save mode. WLAN communications may be timed so that downlink signals (such as data or acknowledgement messages) to the WLAN radio are received during an inactive uplink subframe for an LTE radio. WLAN communications may also be timed so that downlink signals to the WLAN radio are received during downlink times scheduled for an LTE radio.
Abstract:
A method of wireless communication includes partitioning coexistence tasks between short term policy setting tasks and policy implementing tasks, processing the short term policy setting tasks using a first set of computing resources, and processing the policy implementing tasks using a second set of computing resources. The first set may be software resources configured for slower execution of tasks and the second set may be hardware resources configured for just-in-time execution of tasks. The policy may determine a time after which a first radio event is not to be interrupted and granting or denying later events based on whether they would begin before or after the do-not-interrupt time. The do-not-interrupt time may be based on a weighted priority of the first radio event.
Abstract:
Techniques for estimating desired signal power and noise power of a signal received over a communications channel. In an aspect, a pilot autocorrelation matrix is derived based on certain assumptions about the time delay profile, Doppler profile, and/or spatial correlation of the channel. The pilot autocorrelation matrix is decomposed into a set of eigenvectors. From the eigenvector decomposition, a set of dominant eigenvectors is selected to estimate the signal power, while a set of non-dominant eigenvectors is selected to estimate the noise power. The techniques may readily be applied to arbitrary pilot patterns and to a wide array of SNR ranges and channel conditions.
Abstract:
A system has multiple antennas, a Time Division Multiplexing (TDM) module creating TDM slots, and demultiplexing circuitry inserting within the TDM slots Orthogonal Frequency Division Multiplexing (OFDM) symbols and associating the TDM slots with data sub-streams. The system also includes precoding circuitry associating the data sub-streams with multiple tones. Each of the respective tones corresponds to a respective one of the antennas. The antennas transmit the data sub-streams using the multiple tones.
Abstract:
Systems and methodologies are described that facilitate constructing unitary matrices that may be utilized in linear precoding for multiple-input multiple-output (MIMO) wireless communication systems. Each unitary matrix may be generated by combining (e.g., multiplying) a diagonal matrix with a Discrete Fourier Transform (DFT) matrix. The unitary matrices may be utilized to provide feedback related to a channel and/or control transmission over a channel based upon obtained feedback.
Abstract:
Techniques for transmitting data with limited channel information are described. A transmitter (e.g., a base station) obtains channel information for a subset of multiple antennas used for data reception at a receiver (e.g., a terminal). The channel information may include at least one channel response vector for at least one antenna, which is a subset of the multiple antennas at the receiver. The transmitter derives multiple eigenvectors based on the channel information, e.g., using pseudo eigen-beamforming. The transmitter selects at least one eigenvector from among the multiple eigenvectors and transmits data with the selected eigenvector(s). The transmitter may select and use different subsets of eigenvector(s) in different time intervals. The transmitter may arrange the multiple eigenvectors into multiple sets based on their eigenvalues, select at least one set based on a MIMO transmission rank, and select one eigenvector from each set.
Abstract:
Adaptive scanning with a multi-radio device. A mobile device may monitor the signal quality (e.g. RSSI, RSRP) of an established communication associated with a first radio (e.g., Long Term Evolution (LTE) radio) to dynamically adapt (e.g. adjust) the measurement activity (e.g., scanning periodicity) of a second radio (e.g., wireless local area network (WLAN) radio) to minimize data transmission interruption.
Abstract:
Methods, systems, and devices are described for wireless communication at a UE. The UE may communicate using a shared antenna communicatively coupled with a first radio and a second radio. When the UE identifies an upcoming transition to a sleep mode for the first radio, a tune code for the shared antenna may be adjusted for the second radio. A tune code query may be transmitted to the second radio which may respond with a tune code response. Adjusting the tune code may be based on the tune code response. This allows the second radio to communicate using the shared antenna while the first radio is in the sleep mode. When the UE identifies a transition from the sleep mode for the first radio, the UE may adjust the tune code for the shared antenna for the first radio, allowing the first radio to communicate using the shared antenna.
Abstract:
Methods, systems, and devices are described for adaptively or dynamically tuning a radio frequency (RF) local oscillator (LO) for wireless communications. In one example, a radio may receive an RF signal and the LO of a radio may be tuned to a frequency that is an offset from its reception (RX) center frequency to deal with interference from another signal, such as one being transmitted using a different radio access technology (RAT) than that of the radio. The offset may be determined based upon an effect of the tuning on an attribute of the RF signal. In addition, the offset may be determined based on interference caused by the other signal.