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Kienle F. Architectures for Baseband Signal Processing

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Kienle F. Architectures for Baseband Signal Processing
Springer, 2014. — 268 p.
Mobile communication devices like smart phones or tablet PCs enable us to consume information at every location and at every time. The rapid development of new applications and new services and the demand to access data in real time create an increasing throughput demand. The data have to be transmitted reliably to ensure the desired quality of service. Furthermore, an improved utilization of the bandwidth is desired to reduce the cost of transmission. All these demands lead to an increased complexity of the algorithms employed in wireless transceivers. In addition, the hardware realization of mobile transceivers has to feature a small area and power profile to reduce fabrication costs and to increase the user convenience. The rapid technology improvements of the chip industry allow the integration of more and more functionality on every chip.
Dealing with the increase of algorithmic complexity and required data throughput poses a big problem for the algorithm designer and the chip designer. An algorithm designer needs to understand the impact of his design decisions on the chip complexity, while a chip designer needs to understand the employed algorithms to enable an efficient implementation. Thus, a comprehensive understanding of algorithmic and architectural constraints becomes mandatory and has to be considered within educational programs, as well.
This manuscript addresses students in electrical engineering, computer engineering, and computer science with an interest in the field of communications engineering, architectures, and microelectronic design. An according lecture is given at the University of Kaiserslautern and the Karlsruhe Institute of Technology, both Germany. The manuscript puts a special focus on implementation aspects and implementation constraints of individual components that are needed in transceivers for current standards like UMTS, LTE, WiMAX, and DVB-S2_. The application domain is the so-called outer receiver, which comprises the channel coding, interleaving stages, modulator, and multiple antenna transmission. Within a receiver device, the task of the outer receiver is to transmit information at the highest practical rate, as reliably as required by the application, i.e., voice or data transmission. Throughout the manuscript, the focus lies on advanced algorithms that are actually in use in modern communications systems. Their basic principles are always derived with a focus on the resulting communications and implementation performance.
Digital Transmission System.
Channel Coding Basics.
Hardware Design of Individual Components.
Data Path of Individual Components.
Turbo Codes.
Low-Density Parity-Check Codes.
Bit-Interleaved Coded MIMO System.
Comparing Architectures.
A: Channel Coding Data.
B: Communications Performance Results.
C: Probability Terms.
D: 4-AM Demodulator.
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