Abstract: A system and method dynamically scale power consumed by the circuitry of an electronic device based on channel state and/or data rate. The electronic device then operates according to the power scaling. The scaling may be in accordance with an effective data rate, a number of multiple input multiple output (MIMO) layers, receiver type, a cell scenario, or a number of carriers. A number of MIMO layers can be predicted based on at least one of channel conditions or a channel quality index (CQI).

Abstract: A method, an apparatus, and a computer program product for communication within a wireless terminal. The method can be implemented using dedicated logic and managed and controlled by state machines and/or sequencers. Data received or provided in a memory of a first integrated circuit of a terminal is encoded and transmitted in a data packet to a second integrated circuit. A header identifying the data type and providing a destination is included in the data packet. The destination may be identified as a memory address memory of the second integrated circuit that is mapped to a corresponding memory address of the first integrated circuit at which the data is received. In an aspect, the apparatus receives a header, detects an error in the received header, determines a failure to identify a packet boundary when the error is detected, and performs a search operation to identify the packet boundary.

Abstract: A system and method dynamically scale power consumed by the circuitry of an electronic device based on channel state and/or data rate. The electronic device then operates according to the power scaling. The scaling may be in accordance with an effective data rate, a number of multiple input multiple output (MIMO) layers, receiver type, a cell scenario, or a number of carriers. A number of MIMO layers can be predicted based on at least one of channel conditions or a channel quality index (CQI).

Abstract: A method, an apparatus, and a computer program product for communication within a wireless terminal. The method can be implemented using dedicated logic and managed and controlled by state machines and/or sequencers. Data received or provided in a memory of a first integrated circuit of a terminal is encoded and transmitted in a data packet to a second integrated circuit. A header identifying the data type and providing a destination is included in the data packet. The destination may be identified as a memory address memory of the second integrated circuit that is mapped to a corresponding memory address of the first integrated circuit at which the data is received. In an aspect, the apparatus receives a header, detects an error in the received header, determines a failure to identify a packet boundary when the error is detected, and performs a search operation to identify the packet boundary.

Abstract: General purpose array processing techniques including processing methods and apparatus. Processors may include parallel processing paths designed with reusable computational components such as multipliers, multiplexers, and ALUs. Flow of data through the paths and operations performed may be controlled based on opcodes. Processors may be shared, scalable, and configured to perform matrix operations. In particular, such operation may be useful for physical sections of MIMO-OFDM communication systems.

Abstract: A processor for performing a fast Fourier transform or inverse fast Fourier transform comprises a radix-2 butterfly structure; and a radix-4 butterfly structure. A method of performing a fast Fourier transform or inverse fast Fourier transform comprises selectively performing a radix-2 butterfly operation on an input data stream; and selectively performing a radix-4 butterfly operation on one of a result produced by the radix-2 butterfly operation and the input data stream. Apparatus for performing a fast Fourier transform or inverse fast Fourier transform comprises means for selectively performing a radix-2 butterfly operation on an input data stream; and means for selectively performing a radix-4 butterfly operation on one of a result produced by the radix-2 butterfly operation and the input data stream.

Abstract: General purpose array processing techniques including processing methods and apparatus. Processors may include parallel processing paths designed with reusable computational components such as multipliers, multiplexers, and ALUs. Flow of data through the paths and operations performed may be controlled based on opcodes. Processors may be shared, scalable, and configured to perform matrix operations. In particular, such operation may be useful for physical sections of MIMO-OFDM communication systems.