{
"item_title" : "Machine Learning in Next Generation Multiple Access (Ngma)",
"item_author" : [" Mohammad Abdul Matin", "M. Rezwanul Mahmood "],
"item_description" : "This book equips readers with the conceptual and practical knowledge they need to put into practice the design, development, and management of the next generation multiple access / non-orthogonal multiple access (NGMA/NOMA)-based network systems. The authors outline and evaluate NOMA technologies by exploiting AI/ML-based methodologies. The authors also discuss the role of NOMA in designing NGMA, and the applications/use cases of the next-generation NOMA. The book provides guidance for researchers, engineers and scientists in academia and industry working in the fields of telecom and computing, and artificial intelligence/machine learning.",
"item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/03/219/419/3032194199_b.jpg",
"price_data" : {
"retail_price" : "37.99", "online_price" : "37.99", "our_price" : "37.99", "club_price" : "37.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : ""
}
}
Machine Learning in Next Generation Multiple Access (Ngma)
Overview
This book equips readers with the conceptual and practical knowledge they need to put into practice the design, development, and management of the next generation multiple access / non-orthogonal multiple access (NGMA/NOMA)-based network systems. The authors outline and evaluate NOMA technologies by exploiting AI/ML-based methodologies. The authors also discuss the role of NOMA in designing NGMA, and the applications/use cases of the next-generation NOMA. The book provides guidance for researchers, engineers and scientists in academia and industry working in the fields of telecom and computing, and artificial intelligence/machine learning.
This item is Non-Returnable
Customers Also Bought
Details
- ISBN-13: 9783032194190
- ISBN-10: 3032194199
- Publisher: Springer
- Publish Date: May 2026
- Page Count: 70
Related Categories
