Power-Aware Resource Scheduling in Base Stations
Paper in proceeding, 2011

Baseband stations for Long Term Evolution (LTE) communication processing tend to rely on over-provisioned resources to ensure that peak demands can be met. These systems must meet user Quality of Service expectations, but during non-peak workloads, for instance, many of the cores could be placed in low-power modes. One key property of such application-specific systems is that they execute frequent, short-lived tasks. Sophisticated resource management and task scheduling approaches suffer intolerable overhead costs in terms of time and expense, and thus lighter-weight and more efficient strategies are essential to both saving power and meeting performance expectations. To this end, we develop a flexible, non-propietary LTE workload model to drive our resource management studies. Here we describe our experimental infrastructure and present early results that underscore the promise of our approach along with its implications on future hardware/software codesign.


Magnus Själander

Chalmers, Computer Science and Engineering (Chalmers), Computer Engineering (Chalmers)

Sally A McKee

Chalmers, Computer Science and Engineering (Chalmers), Computer Engineering (Chalmers)

Bhavishya Goel

Chalmers, Computer Science and Engineering (Chalmers), Computer Engineering (Chalmers)

P. Brauer


David Engdal


Andras Vajda


Proceedings of the 19th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems Singapore; 25 July 2011 through 27 July 2011

978-0-7695-4430-4 (ISBN)

Subject Categories

Computer Engineering

Areas of Advance

Information and Communication Technology

Driving Forces

Sustainable development





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