Method and apparatus for active terminal detection using spread code learned by using deep learning in multiple communications
AssigneeSeoul National University R&Db Foundation
InventorsNam Ik Kim, Kwang Bok Lee, Byong Hyo Shim, Dong Woo Kim
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Abstract
Embodiments of the present disclosure provide an active terminal detection method and an active terminal detection device that increase the performance of determining whether a terminal is active by designing a spread code to reduce a cross-correlation value of the spread code of a terminal with a high activation frequency in a massive machine-type communication environment by using deep learning.
Claims8
An active terminal detection method for wireless communication between a plurality of terminals and a receiver, the active terminal detection method comprising:
- providing an active terminal detection device executing a first learning network and a second learning network, wherein the first learning network is trained to generate a second signal to be transmitted to the receiver by applying a spread code to a first signal generated by each of the plurality of terminals and the second learning network is trained to determine whether each of the plurality of terminals is active;
- generating, by the first learning network, the second signal corresponding to each of the plurality of terminals by combining the spread code with the first signal generated by each of the plurality of terminals;
- and
- determining, by the second learning network, whether each of the plurality of terminals is active based on the second signal, wherein the first learning network and the second learning network form an end-to-end learning structure, and
- wherein the first learning network includes a first hidden layer deriving the spread code in which a cross-correlation value of the spread code decreases as activation probability of the plurality of terminals increases.
An active terminal detection device for wireless communication between a plurality of terminals and a receiver, the active terminal detection device comprising:
- a memory storing an active terminal detection program;
- and
- a processor configured to execute the active terminal detection program,
- wherein the active terminal detection program
- forms an end-to-end learning structure by using a first learning network and a second learning network, wherein the first learning network is trained to generate a second signal to be transmitted to the receiver by assigning a spread code to a first signal generated by each of the plurality of terminals and the second learning network is trained to determine whether each of the plurality of terminals is active,
- generates the spread code using the end-to-end learning structure,
- generates, by the first learning network, the second signal corresponding to each of the plurality of terminals by combining the spread code with the first signal generated by each of the plurality of terminals, and
- determines, by the second learning network, whether each of the plurality of terminals is active based on the second signal,
- wherein the first learning network includes a first hidden layer deriving the spread code in which a cross-correlation value of the spread code decreases as the activation probability of the terminal increases.
Dependencies are inferred from the claim text.