Adaptive Multicore Scheduling for the LTE Uplink

Abstract : The next generation cellular system of 3GPP is named Long Term Evolution (LTE). Each millisecond, a LTE base station receives information from up to one hundred users. Multicore heterogeneous embedded systems with Digital Signal Processors (DSP) and coprocessors are power efficient solutions to decode the LTE uplink signals in base stations. The LTE uplink is a highly variable algorithm. Its multicore scheduling must be adapted every millisecond to the number of connected users and to the data rate they require. To solve the issue of the dynamic deployment while maintaining low latency, one approach would be to find efficient on-the-fly solutions using techniques such as graph generation and scheduling. This approach is opposed to a static scheduling of predefined cases. We show that the static approach is not suitable for the LTE uplink and that present DSP cores are powerful enough to recompute an efficient adaptive schedule for the LTE uplink most complex cases in real-time.
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Maxime Pelcat, Jean François Nezan, Slaheddine Aridhi. Adaptive Multicore Scheduling for the LTE Uplink. NASA/ESA Conference on Adaptive Hardware and Systems (Ahs 2010), Jun 2010, Anaheim, United States. ⟨hal-00488576⟩

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