PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessRestricted access - publisher's policy
In this paper we address the problem of designing a
user selection algorithm in a multiuser multiple-input multipleoutput
downlink scenario. Linear precoding is adopted at the
transmitter and, thus, the number of users to be served at
each particular scheduling period is limited by the number of
available transmit and receive antennas. The adopted scheduling
criterion for the user selection is based on proportional fair
criterion. The novelty relies on the fact that the users are
considered to have a finite battery capacity and a harvesting
source that allows them to recharge their batteries dynamically.
The proposed user scheduler mechanism exploits not only the
channel dynamics but also the battery fluctuations. We analyze
how the intensity of the energy arrivals impacts the performance
of the user scheduler. Simulations results show that the average
long-term rates approach the requested quality of service if the
scheduler controls the amount of energy that is being used by
the terminals at each scheduling period.
CitationRubio, J.; Pascual Iserte, A. Energy-aware user scheduling for downlink multiuser-MIMO systems. A: IEEE International Symposium on Personal Indoor and Mobile Radio Communications. "Proceedings PIMRC 2014". Washington: Institute of Electrical and Electronics Engineers (IEEE), 2014, p. 965-969.
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