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.

Emerging applications such as high definition television (HDTV), streaming video, image processing in embedded applications and signal processing in high-speed wireless communications are driving a need for high performance digital signal processors (DSPs) with real-time processing. This class of applications demonstrates significant data parallelism, finite precision, need for power-efficiency and the need for 100's of arithmetic units in the DSP to meet real-time requirements. Data-parallel DSPs meet these requirements by employing clusters of functional units, enabling 100's of computations every clock cycle. These DSPs exploit instruction level parallelism and subword parallelism within clusters, similar to atraditional VLIW (Very Long Instruction Word) DSP, and exploit data parallelism across clusters, similar to vector processors.