Abstract

Emerging communication paradigms like the cognitive radio require extremely flexible physical layer functional units that can be parameterized at runtime for supporting multiple modes. Parameterizing the hardware accelerators in the cognitive radio baseband incurs a latency penalty, which is a function of the amount of reconfiguration data required by the accelerators. In an opportunistic spectrum access scenario, the cumulative latency required to reconfigure all the physical layer units when switching to a new channel reduces the useful time available for transmission, leading to a lower system throughput. Against this background, this paper gives an overview of the amount of reconfiguration data required by different candidate accelerator architectures for performing the computationally intensive channelization function, in the digital front-end of the cognitive radio terminal. The paper also identifies opportunities for reusing hardwired stages of a channelization accelerator across multiple modes, while minimizing the reconfiguration overhead.

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