Publication: Parallel distributed computational microcontroller system for adaptive antenna downlink transmitter power optimization
Date
2009
Authors
Sankar K.P.
Tiong S.K.
Koh S.P.J.
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Abstract
This paper presents a tested research concept that implements a complex evolutionary algorithm, genetic algorithm (GA), in a multi-microcontroller environment. Parallel Distributed Genetic Algorithm (PDGA) is employed in adaptive beam forming technique to reduce power usage of adaptive antenna at WCDMA base station. Adaptive antenna has dynamic beam that requires more advanced beam forming algorithm such as genetic algorithm which requires heavy computation and memory space. Microcontrollers are low resource platforms that are normally not associated with GAs, which are typically resource intensive. The aim of this project was to design a cooperative multiprocessor system by expanding the role of small scale PIC microcontrollers to optimize WCDMA base station transmitter power. Implementation results have shown that PDGA multi-microcontroller system returned optimal transmitted power compared to conventional GA. � 2009 WASET.ORG.
Description
Keywords
Adaptive antenna , Genetic Algorithm , Microcontroller , Power optimization , Adaptive algorithms , Antennas , Base stations , Controllers , Digital to analog conversion , Genetic algorithms , Interference suppression , Optimization , Parallel algorithms , Transmitters , Adaptive antenna , Adaptive beam-forming , Base station transmitters , Beamforming algorithms , Distributed genetic algorithms , Memory space , Microcontroller systems , Multi processor systems , PIC microcontrollers , Power optimization , Power usage , Small scale , Transmitted power , Transmitter power , Microcontrollers