TY - BOOK AU - Ghorbanzadeh,Michael AU - Abdelhadi,Ahmed ED - SpringerLink (Online service) TI - Practical Channel-Aware Resource Allocation: With MATLAB and Python Code SN - 9783030736323 AV - TK5103.4873 PY - 2022/// CY - Cham PB - Springer International Publishing, Imprint: Springer KW - Telecommunication KW - Computer networks  KW - Mathematical optimization KW - Communications Engineering, Networks KW - Computer Communication Networks KW - Continuous Optimization KW - Python (Computer program language) KW - Radio resource management (Wireless communications) N1 - Introduction -- Utility Functions and Resource Allocation -- Resource Allocation without Channel -- Distributed or Centralized -- Channel Conditions and Resource Allocation -- Propagation Modeling -- Simulation -- Conclusion N2 - This book dives into radio resource allocation optimizations, a research area for wireless communications, in a pragmatic way and not only includes wireless channel conditions but also incorporates the channel in a simple and practical fashion via well-understood equations. Most importantly, the book presents a practical perspective by modeling channel conditions using terrain-aware propagation which narrows the gap between purely theoretical work and that of industry methods. The provided propagation modeling reflects industry grade scenarios for radio environment map and hence makes the channel based resource allocation presented in the book a field-grade view. Also, the book provides large scale simulations that account for realistic locations with terrain conditions that can produce realistic scenarios applicable in the field. Most portions of the book are accompanied with MATLAB code and occasionally MATLAB/Python/C code. The book is intended for graduate students, academics, researchers of resource allocation in mathematics, computer science, and electrical engineering departments as well as working professionals/engineers in wireless industry. Presents radio resource allocation optimizations, including wireless channel conditions and incorporating the channel in a simple and practical fashion; Includes a mathematical analysis of resource allocation with a practical industry-like propagation model; Provides an introduction of terrain-based propagation modeling into radio resource allocation optimization UR - https://doi.org/10.1007/978-3-030-73632-3 ER -