1378 results about "Channel parameter" patented technology

A communication device and method are provided for communicating with a receiving device over a channel within a mobile ad-hoc network. The receiving device includes a clear-to-send (CTS) packet generating portion that can generate and a CTS packet based on a parameter of the channel and that can transmit the CTS packet over the channel. The communication device includes a transmitter portion, a receiver portion and a management portion. The transmitter portion can transmit information into the channel. The receiver portion can receive information from the channel. The management portion includes a request-to-send (RTS) packet generating portion, a CTS packet receiving portion, a threshold database, a comparator and an RES packet generating portion. The management portion is in communication with the transmitter portion and the receiver portion. The RTS packet generating portion can generate a RTS packet and can provide the RTS packet to the transmitter portion. The transmitter portion can transmit the RTS packet to the receiving device by way of the channel. The receiver portion can receive the CTS packet from the receiving device by way of the channel and can provide the CTS packet to the CTS packet receiving portion. The threshold database can store a threshold value for the parameter of the channel and can provide the threshold value to the comparator. The CTS packet receiving portion can provide channel parameter information, to the comparator, based on the CTS packet. The comparator can compare the threshold value and the channel parameter information and can generate an instruction signal based on the comparison. The RES packet generating portion can generate an RES packet based on the instruction signal and can provide the RES packet to the transmitter portion.

A method of supplying channel information in a wireless communication system comprises a mobile terminal normally providing a basic channel report to the wireless communication system; the mobile terminal receiving at least one common feedback criterion broadcast to a plurality of mobile terminals; the mobile terminal determining if the mobile terminal satisfies a condition based on the at least one common feedback criterion; and the mobile terminal selectively providing an enhanced channel report to the wireless communication system based on the determining. The basic channel report may comprise information related to a first set of channel parameters, and the enhanced channel report may provide greater detail on the first set of channel parameters and / or relate to a second set of channel parameters. A method of a base station adaptively controlling channel information reporting by broadcast transmitting at least one common feedback criterion is also presented.

In a communication system, and in particular a wireless Orthogonal Frequency Division Multiplexing (OFDM) communication system, the present invention provides systems for estimating parameters of a channel across which a signal is transmitted. The present invention may be used in a Multi-Input, Multi-Output (MIMO) system in which the data is transmitted from any number of transmitting antennas and received by any number of receiving antennas. The number of transmitting and receiving antennas does not necessarily have to be the same. Circuitry is provided for calculating parameters indicative of the characteristics of the communication channel. Estimates of channel parameters may include channel estimates and noise variance estimates.

A method of supplying channel information in a wireless communication system comprises a mobile terminal normally providing a basic channel report to the wireless communication system; the mobile terminal receiving at least one common feedback criterion broadcast to a plurality of mobile terminals; the mobile terminal determining if the mobile terminal satisfies a condition based on the at least one common feedback criterion; and the mobile terminal selectively providing an enhanced channel report to the wireless communication system based on the determining. The basic channel report may comprise information related to a first set of channel parameters, and the enhanced channel report may provide greater detail on the first set of channel parameters and / or relate to a second set of channel parameters. A method of a base station adaptively controlling channel information reporting by broadcast transmitting at least one common feedback criterion is also presented.

A method of estimating a signal-to-noise ratio by considering user mobility, a method of adjusting feedback information transmission, an adaptive modulation and coding method using the same, and a transceiver thereof are disclosed. The present invention includes measuring a first channel parameter and a second channel parameter using first and second symbols sequentially received, respectively, estimating a channel quality considering a time delay between measurements of the first and second channel parameters using the first and second channel parameters, and transmitting information for the estimated channel quality if a variation of the first and second channel parameters is equal to or greater than a prescribed threshold. Accordingly, the present invention reduces performance degradation and feedback overhead caused by a time delay in channel quality estimation.

The invention provides a multi-channel SDK (software development kit) access system for mobile terminal software. The system comprises a central control board, a universal SDK, a CP (computer program) interface module, a third-party SDK, a channel interface module, a channel parameter configuring and file packaging module and a file management module. The universal SDK is used for storing an SDK universal to multiple different channels. The CP interface module provides a system access interface for at least one CP and is used for file downloading or uploading or configuring of the CPs. The third-party SDK is used for storing respective SDKs provided by different channel providers. The channel interface module provides a system access interface to at least one channel providers and is used for acquiring SDKs of different channels and uploading files generated by the channel parameter configuring and file packaging module to each channel. The channel parameter configuring and file packaging module is used for receiving configuration provided by the CPs, and configuring and packaging programs, developed on the basis of the universal SDK, uploaded by the CPs according to the CP configuration and the third-party SDK so as to enable the programs to access to different channels.

A method is provided for automatically improving throughput of an active channel in a communication system comprising: receiving input from one or more modules that identify and characterize impairments in the active channel; monitoring the input to track changes in the impairments; and changing channel parameters to improve throughput on the channel based on the changes in the impairments. Other systems and methods are disclosed.

The invention provides a calculation unloading and resource allocation method and device based on deep reinforcement learning, and the method comprises the steps: calculating the total calculation resources of an MEC server based on the calculation task parameters of UE, the performance parameters of the UE, the channel parameters between the UE and an AP, and the mobile edge, and constructing anoptimization problem model; and determining the optimal solution of the optimization problem model based on deep reinforcement learning, determining the unloading decision of the UE, and respectivelyallocating the percentage of the computing resources and the percentage of the spectrum resources to the UE. According to the calculation unloading and resource allocation method and device based on deep reinforcement learning provided by the invention, the actual calculation unloading and resource allocation characteristics in the time-varying MEC system are considered, the time delay threshold of the task and the limited resource capacity constraint of the system are based on deep reinforcement learning, the DNN is used for effectively approximating a value function in reinforcement learningso as to determine a joint optimal scheme of calculation unloading and resource allocation, and the energy consumption of the UE is further reduced.