Proceedings of the International Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication: Mdcwc 2023 (無線通信機器學習、深度學習與計算智能國際會議論文集：Mdcwc 2023)

本書是第二屆無線通信機器學習、深度學習與計算智能會議（MDCWC 2023）所呈現的最佳研究論文集，會議於2023年6月22日至24日在印度提魯吉拉帕利國立技術學院舉行。所呈現的論文依主題分為以下幾類：(a) 機器學習、深度學習與計算智能演算法 (b) 無線通信系統及 (c) 行動數據應用。這些主題涵蓋了網路預測、流量分類、通話詳情記錄挖掘、行動健康照護、行動模式識別、自然語言處理、自動語音處理、移動性分析、室內定位、無線感測器網路 (WSN)、能量最小化、路由、排程、資源分配、多重存取、功率控制、惡意軟體檢測、網路安全、洪水攻擊檢測、行動應用程式嗅探、MIMO 檢測、MIMO-OFDM 中的信號檢測、調變識別、通道估計、MIMO 非線性均衡、超解析通道及到達方向估計等領域的最新研究與成果。本書是學術界與產業界的重要參考資料。

Dr. E. S. Gopi has solely authored 9 books and edited 1 book in the area of signal processing and pattern recognition. He has got several research papers published in the reputed journals, reviewed book chapters and conference proceedings. He has 25 years of teaching and research experience. He is the coordinator for pattern recognition and the computational intelligence laboratory. He is currently a Professor, Department of Electronics and Communication Engineering, National Institute of Technology, Trichy (Government of India). His books are widely used all over the world. His book on "Pattern recognition and Computational intelligence using Matlab", Springer, was recognized as one of the best eBooks under the "pattern recognition" and "Matlab" categories by the Book authority, Authorities' leading site for book recommendations by thought leaders. He is the series editor for the series "Signals and Communication Technology", a Springer publication. He has completedthe project offered by GTRE (DRDO) as the principal investigator on "Hunting representative sensors and constructing regression model for between sensor outcomes using ML". His video course on "Pattern recognition", "Statistical theory of Communication" and "Linear algebra and stochastic process" are well appreciated by his fellow students. He is also serving as one of the Workshops, Tutorials & Symposia officers for Machine Learning For Communications Emerging Technologies Initiative (IEEE ComSoc). He organized the first virtual international conference (MDCWC2020) at NIT, Tiruchirappalli and edited the proceedings published by Springer. He has organized many workshops, which include MDCWC2021 as the special session during the IEEE Conference on ICIAfS2021, MDCWC2022, the first long virtual workshop at NIT, Tiruchirappalli. Recently, the second International conference on MDCWC2023 was organized by him. He was the convener for the conference. He has delivered many invited talks, whichinclude the talk under the Global Initiative of Academic Networks (GIAN) course on "Machine learning for wireless communication" and Speaker for the IEEE Training school in Machine learning for wireless communication, TOMSK Polytechnic University. His research interests include Machine intelligence, pattern recognition, Statistical signal processing and Computational intelligence.

Dr. P. Maheswaran obtained his PhD from IIITDM Kancheepuram in the area of wireless communication. At present, he is serving as an Assistant Professor in the Dept. of ECE, National Institute of Technology, Tiruchirappalli. Between 2011 and 2013, he was with Tata Consultancy Services as a Systems Engineer. He briefly served as an Assistant Professor in the Dept. of ECE, SRM Institute of Science and Technology, Chennai from 2017 to 2018. From 2019 to 2020, he was with IIT Madras as a postdoctoral fellow. His research areas include wireless communication, signal processing, cooperative communication, MIMO communication system, index modulation, spatial modulation, and OTFS.

Dr. E. S. Gopi 獨立著作了 9 本書並編輯了 1 本書，專注於信號處理和模式識別領域。他在多個知名期刊上發表了多篇研究論文，並審閱了書籍章節和會議論文集。他擁有 25 年的教學和研究經驗，並擔任模式識別及計算智能實驗室的協調員。目前，他是印度國立技術學院（National Institute of Technology, Trichy）電子與通信工程系的教授。他的書籍在全球廣泛使用。他的著作《使用 Matlab 的模式識別與計算智能》（Pattern recognition and Computational intelligence using Matlab）被 Springer 出版社認可為「模式識別」和「Matlab」類別中最佳電子書之一，並受到書籍權威機構的推薦。他是 Springer 出版的「信號與通信技術」系列的系列編輯。他作為主要研究者完成了由 GTRE（DRDO）提供的項目，題為「獵取代表性傳感器並使用機器學習構建傳感器結果之間的回歸模型」。他關於「模式識別」、「通信的統計理論」和「線性代數與隨機過程」的視頻課程受到同學們的高度評價。他還擔任 IEEE 通信學會（IEEE ComSoc）機器學習通信新興技術倡議的工作坊、教程與研討會官員之一。他在 NIT Tiruchirappalli 組織了第一次虛擬國際會議（MDCWC2020），並編輯了由 Springer 出版的會議論文集。他組織了多個工作坊，包括在 IEEE ICIAfS2021 會議期間的 MDCWC2021 特別會議、MDCWC2022 以及 NIT Tiruchirappalli 的第一次長期虛擬工作坊。最近，他組織了第二屆國際會議 MDCWC2023，並擔任會議的召集人。他發表了多場受邀演講，包括在全球學術網絡倡議（GIAN）課程中關於「無線通信的機器學習」的演講，以及在 TOMSK 理工大學的 IEEE 無線通信機器學習培訓學校的演講者。他的研究興趣包括機器智能、模式識別、統計信號處理和計算智能。

Dr. P. Maheswaran 獲得了 IIITDM Kancheepuram 的博士學位，專注於無線通信領域。目前，他在 NIT Tiruchirappalli 的電子與通信工程系擔任助理教授。在 2011 年至 2013 年期間，他在塔塔諮詢服務公司（Tata Consultancy Services）擔任系統工程師。2017 年至 2018 年，他曾短暫擔任 SRM 科學與技術學院電子與通信工程系的助理教授。2019 年至 2020 年，他在印度理工學院馬德拉斯分校（IIT Madras）擔任博士後研究員。他的研究領域包括無線通信、信號處理、協作通信、MIMO 通信系統、指數調變、空間調變和 OTFS。