ALOE: An Open-Source SDR Execution Environment with Cognitive Computing Resource Management Capabilities

作者:Gomez Ismael*; Marojevic Vuk; Gelonch Antoni
来源:IEEE Communications Magazine, 2011, 49(9): 76-83.
DOI:10.1109/MCOM.2011.6011737

摘要

Future radio transceivers will offer more functionalities and system features for potentiating flexible and reconfigurable radio access networks. Since flexibility in this case comes at a price of computing resource overhead, we propose a conceptually simple though powerful framework for digital signal processing applications. The abstraction layer and operating environment (ALOE) is an open source execution environment for software-defined radios. It is essentially based on a hardware abstraction layer, a lightweight and time-driven software architecture, and a simple interface format. ALOE accounts for heterogeneous multiprocessor platforms. Its cognitive computing resource management capabilities enable flexible and dynamic management of SDR platforms and applications for distributed real-time execution of applications and dynamic reconfiguration of platforms.

  • 出版日期2011-9