Invention Grant
- Patent Title: Adaptive modulation method for Bayes classifier-based energy harvesting relay system
-
Application No.: US17266428Application Date: 2019-07-04
-
Publication No.: US11323192B2Publication Date: 2022-05-03
- Inventor: Qi Zhu , Kang Liu , Hongbo Zhu , Longxiang Yang
- Applicant: NANJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS
- Applicant Address: CN Nanjing
- Assignee: NANJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS
- Current Assignee: NANJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS
- Current Assignee Address: CN Nanjing
- Agency: Andrus Intellectual Property Law, LLP
- Priority: CN201910183808.0 20190312
- International Application: PCT/CN2019/094701 WO 20190704
- International Announcement: WO2020/181695 WO 20200917
- Main IPC: H04B17/391
- IPC: H04B17/391 ; H04B17/373 ; G06K9/62

Abstract:
The present disclosure provides an adaptive modulation method for a naive Bayes classifier-based energy harvesting relay system. First, a sending end determines its modulation mode based on a status of a data buffer of a relay, so that sent data does not exceed a storage capability of the relay. Then, based on data sent by the sending end, and channel status information and energy harvesting status information within a period of time, the relay determines an optimal modulation mode used by the relay within the period of time. After that, the modulation mode, the channel status information, and the energy harvesting status information are used as training data to obtain a classification model based on a naive Bayes classifier algorithm. In this way, the relay can adaptively select a modulation mode when only knowing of channel information and energy information in a current timeslot.
Public/Granted literature
- US20210399815A1 ADAPTIVE MODULATION METHOD FOR BAYES CLASSIFIER-BASED ENERGY HARVESTING RELAY SYSTEM Public/Granted day:2021-12-23
Information query