SLNR-based User scheduling for MISO downlink cellular systems

Minki Ahn, Kilbom Lee, Kwangwon Lee, Inkyu Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

In this paper, we consider a user scheduling problem which maximizes the weighted sum-rate (WSR) in multicell multiple input single output (MISO) downlink systems. Since an exhaustive search algorithm requires high computational complexity, we propose a low complexity algorithm which finds a user set in terms of WSR maximization. We first consider a greedy user selection algorithm which almost achieves the system performance of the exhaustive search algorithm in high SNR regime. Next, a distributed user scheduling algorithm is proposed by employing the maximized signal-to-leakage-and-noise ratio (SLNR) in the selection criteria. This leads to a reduction of the system overhead of exchanging channel state information and computational complexity. From simulation results, we show that the performance of our proposed scheme is very close to the conventional greedy user scheme with lower overhead.

Original languageEnglish
Title of host publication2013 IEEE 77th Vehicular Technology Conference, VTC Spring 2013 - Proceedings
DOIs
Publication statusPublished - 2013 Dec 1
Event2013 IEEE 77th Vehicular Technology Conference, VTC Spring 2013 - Dresden, Germany
Duration: 2013 Jun 22013 Jun 5

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252

Other

Other2013 IEEE 77th Vehicular Technology Conference, VTC Spring 2013
CountryGermany
CityDresden
Period13/6/213/6/5

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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  • Cite this

    Ahn, M., Lee, K., Lee, K., & Lee, I. (2013). SLNR-based User scheduling for MISO downlink cellular systems. In 2013 IEEE 77th Vehicular Technology Conference, VTC Spring 2013 - Proceedings [6692757] (IEEE Vehicular Technology Conference). https://doi.org/10.1109/VTCSpring.2013.6692757