Cellular Communications Systems in Congested Environments : Resource Allocation and End-to-End Quality of Service Solutions with MATLAB / / by Mo Ghorbanzadeh, Ahmed Abdelhadi, Charles Clancy

• Record Nr.: UNINA9910136609203321
• Autore: Ghorbanzadeh Mo
• Pubbl/distr/stampa: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
• Edizione: [1st ed. 2017.]
• Descrizione fisica: 1 online resource (261 p.)
• Disciplina: 620
• Soggetti: Electrical engineering; Signal processing; Image processing; Speech processing systems; Information storage and retrieval; Mathematical optimization; Computer input-output equipment; Communications Engineering, Networks; Signal, Image and Speech Processing; Information Storage and Retrieval; Continuous Optimization; Input/Output and Data Communications
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references at the end of each chapters and index.
• Nota di contenuto: Quality of Service in Communication Systems -- Utility Functions and Radio Resource Allocation -- Centralized Resource Allocation -- Distributed Resource Allocation -- Resource Allocation Architectures Traffic and Sensitivity Analysis -- Radio Resource Block Allocation -- Spectrum-Shared Resource Allocation -- Delay-Based Backhaul Modeling -- Book Summary.
• Sommario/riassunto: This book presents a mathematical treatment of the radio resource allocation of modern cellular communications systems in contested ; environments. It focuses on fulfilling the quality of service requirements of the living applications on the user devices, which leverage the cellular system, and with attention to elevating the users’ quality of experience. The authors also address the congestion of the spectrum by allowing sharing with the band incumbents while providing with a quality-of-service-minded resource allocation in the network. The content is of particular interest to telecommunications scheduler experts in industry, communications applications academia, and graduate students whose paramount research deals with resource allocation and quality of service. .