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Open RAN - The Definitive Guide (Hardcover): Ian C. Wong, Aditya Chopra, Sridhar Rajagopal, Rittwik Jana Open RAN - The Definitive Guide (Hardcover)
Ian C. Wong, Aditya Chopra, Sridhar Rajagopal, Rittwik Jana
R2,918 Discovery Miles 29 180 Ships in 18 - 22 working days

A comprehensive survey of Open RAN technology and its ecosystem In Open RAN: The Definitive Guide, a team of distinguished industry leaders deliver an authoritative guide to all four principles of the Open RAN vision: openness, virtualization, intelligence, and interoperability. Written by the industry experts currently defining the specifications, building the systems, and testing and deploying the networks, the book covers O-RAN architecture, the fronthaul interface, security, cloudification, virtualization, intelligence, certification, badging, and standardization. This critical reference on Open RAN explains how and why an open and disaggregated, intelligent, and fully virtualized network is the way networks should be designed and deployed moving forward. Readers will also find: A thorough introduction to contributions from key industry players, including AT&T, Telefonica, Mavenir, VMWare, Google and VIAVI Comprehensive explorations of Open X-Haul transport networks and other unique 5G capabilities Practical discussions of the four pillars of O-RAN architecture: openness, virtualization, intelligence, and interoperability Comprehensive treatments of how smaller vendors can introduce their own services and customize the network Perfect for executives, engineers, product managers, and marketing professionals in the telecom industry, Open RAN: The Definitive Guide will also benefit graduate students, researchers, and engineers in government agencies with involvement in the wireless and telecom industries.

Resource Allocation in Multiuser Multicarrier Wireless Systems (Hardcover, 2008 ed.): Ian C. Wong, Brian Evans Resource Allocation in Multiuser Multicarrier Wireless Systems (Hardcover, 2008 ed.)
Ian C. Wong, Brian Evans
R2,721 Discovery Miles 27 210 Ships in 18 - 22 working days

Many algorithms have already been proposed in the past to solve the problem of allocating resources in a multi-user multicarrier wireless system. Due to the difficulty of the problem, most of the previous work in this area has focused on developing suboptimal heuristics without performance guarantees. Resource Allocation in Multiuser Multicarrier Wireless Systems proposes a unified algorithmic framework based on dual optimization techniques that have complexities that are linear in the number of subcarriers and users, and that achieve negligible optimality gaps in standards-based numerical simulations. Adaptive algorithms based on stochastic approximation techniques are also proposed, which are shown to achieve similar performance with even much lower complexity. Key Features With theoretical derivations, practical algorithms, and complexity analysis this book makes an accessible reference for researchers and industry practioners alike All the algorithms proposed are clearly presented in concise block diagrams allowing the reader to implement these algorithms quite easily in the software of their choice The results of each section of the book are based on the 3GPP-LTE standard ? a fourth generation cellular standard of timely importance Presents chapter on the least complex algorithms that still achieve stochastically optimal results without the need for channel distribution information The section on future work presents several relevant avenues for further investigation of interest to researchers in the field

Resource Allocation in Multiuser Multicarrier Wireless Systems (Paperback, Softcover reprint of hardcover 1st ed. 2008): Ian C.... Resource Allocation in Multiuser Multicarrier Wireless Systems (Paperback, Softcover reprint of hardcover 1st ed. 2008)
Ian C. Wong, Brian Evans
R2,653 Discovery Miles 26 530 Ships in 18 - 22 working days

This book proposes a unified algorithmic framework based on dual optimization techniques that have complexities that are linear in the number of subcarriers and users, and that achieve negligible optimality gaps in standards-based numerical simulations. Adaptive algorithms based on stochastic approximation techniques are also proposed, which are shown to achieve similar performance with even much lower complexity. All the algorithms proposed are clearly presented in concise block diagrams allowing the reader to implement these algorithms in the software of their choice. This book is an accessible reference for researchers and industry practitioners alike.

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