{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,9]],"date-time":"2026-01-09T17:35:37Z","timestamp":1767980137338,"version":"3.49.0"},"reference-count":18,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,12,8]],"date-time":"2024-12-08T00:00:00Z","timestamp":1733616000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,12,8]],"date-time":"2024-12-08T00:00:00Z","timestamp":1733616000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100009950","name":"Ministry of Education","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100009950","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,12,8]]},"DOI":"10.1109\/globecom52923.2024.10901186","type":"proceedings-article","created":{"date-parts":[[2025,3,11]],"date-time":"2025-03-11T17:30:35Z","timestamp":1741714235000},"page":"2852-2857","source":"Crossref","is-referenced-by-count":1,"title":["A Signal Spatial Difference enabled Advantage Actor-Critic Method for 3D Indoor Localization"],"prefix":"10.1109","author":[{"given":"Xiping","family":"Wang","sequence":"first","affiliation":[{"name":"Beijing Jiaotong University,School of Electronic and Information Engineering,Beijing,China,100044"}]},{"given":"Ke","family":"Guan","sequence":"additional","affiliation":[{"name":"Beijing Jiaotong University,State Key Laboratory of Advanced Rail Autonomous Operation,Beijing,China,100044"}]},{"given":"Danping","family":"He","sequence":"additional","affiliation":[{"name":"Beijing Jiaotong University,School of Electronic and Information Engineering,Beijing,China,100044"}]},{"given":"Lantu","family":"Guo","sequence":"additional","affiliation":[{"name":"China Research Institute of Radiowave Propagation,Qingdao,China,266107"}]},{"given":"Klaus","family":"Witrisal","sequence":"additional","affiliation":[{"name":"Graz University of Technology,Graz,Austria,8010"}]},{"given":"Stephen","family":"Wang","sequence":"additional","affiliation":[{"name":"VIAVI Marconi Labs, VIAVI Solutions,Stevenage,UK"}]},{"given":"Zhangdui","family":"Zhong","sequence":"additional","affiliation":[{"name":"Beijing Jiaotong University,School of Electronic and Information Engineering,Beijing,China,100044"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2024.3362515"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2023.3240714"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2023.3255900"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2023.3243196"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.001.2000259"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2024.3382650"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM42981.2021.9488693"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3090094"},{"issue":"1","key":"ref9","first-page":"61","article-title":"Next generation semantic and spatial joint perception","volume":"19","author":"Zhu","year":"2021","journal-title":"ZTE Communications"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2957778"},{"issue":"3","key":"ref11","first-page":"9","article-title":"Path loss prediction based on multi-layer perceptron artificial neural network","volume":"36","author":"Wu","year":"2021","journal-title":"Chinese journal of radio science"},{"key":"ref12","first-page":"1928","article-title":"Asynchronous methods for deep reinforcement learning","volume-title":"International conference on machine learning","author":"Mnih"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3118352"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2023.3310108"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TAP.2023.3305096"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM48099.2022.10001700"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.32657\/10356\/90191"},{"issue":"268","key":"ref18","first-page":"1","article-title":"Stable-baselines3: Reliable reinforcement learning implementations","volume":"22","author":"Raffin","year":"2021","journal-title":"Journal of Machine Learning Research"}],"event":{"name":"GLOBECOM 2024 - 2024 IEEE Global Communications Conference","location":"Cape Town, South Africa","start":{"date-parts":[[2024,12,8]]},"end":{"date-parts":[[2024,12,12]]}},"container-title":["GLOBECOM 2024 - 2024 IEEE Global Communications Conference"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10900933\/10900934\/10901186.pdf?arnumber=10901186","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,24]],"date-time":"2025-04-24T17:02:40Z","timestamp":1745514160000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10901186\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,8]]},"references-count":18,"URL":"https:\/\/doi.org\/10.1109\/globecom52923.2024.10901186","relation":{},"subject":[],"published":{"date-parts":[[2024,12,8]]}}}