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Michael Ghorbanzadeh,Ahmed Abdelhadi

Practical Channel-Aware Resource Allocation: With MATLAB and Python Code

Practical Channel-Aware Resource Allocation: With MATLAB and Python Code

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  • More about Practical Channel-Aware Resource Allocation: With MATLAB and Python Code

This book provides a practical approach to radio resource allocation optimizations, modeling channel conditions using terrain-aware propagation, and offering large-scale simulations for realistic scenarios. It is intended for graduate students, academics, researchers, and professionals in the wireless industry.

Format: Paperback / softback
Length: 228 pages
Publication date: 09 July 2022
Publisher: Springer Nature Switzerland AG


This comprehensive book delves into the realm of radio resource allocation optimizations, a vital area in wireless communications. It goes beyond mere wireless channel conditions and seamlessly incorporates the channel into its analysis through well-understood equations, offering a pragmatic and practical approach. What sets this book apart is its practical perspective, achieved by modeling channel conditions using terrain-aware propagation, which closes the gap between theoretical work and industry methods. The propagation modeling reflects industry-grade scenarios for radio environment maps, providing a field-grade view of channel-based resource allocation. Furthermore, the book includes extensive large-scale simulations that account for realistic locations with terrain conditions, generating realistic scenarios applicable in the field.

The book is designed for graduate students, academics, researchers in mathematics, computer science, and electrical engineering departments, as well as working professionals and engineers in the wireless industry. It offers a wealth of knowledge and insights, accompanied by MATLAB code, MATLAB/Python/C code, and detailed explanations, making it an invaluable resource for anyone seeking to advance their understanding of radio resource allocation in wireless communications.

Weight: 391g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030736347
Edition number: 1st ed. 2022

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