@article{ART002640784},
author={Young-myoung Kang},
title={Optimizing MIMO Link Scheduling},
journal={Journal of Knowledge Information Technology and Systems},
issn={1975-7700},
year={2020},
volume={15},
number={5},
pages={649-658},
doi={10.34163/jkits.2020.15.5.008}
TY - JOUR
AU - Young-myoung Kang
TI - Optimizing MIMO Link Scheduling
JO - Journal of Knowledge Information Technology and Systems
PY - 2020
VL - 15
IS - 5
PB - Korea Knowledge Information Technology Society
SP - 649
EP - 658
SN - 1975-7700
AB - In conventional communication systems, throughput optimization problems have been mainly dealt with in terms of protocol designs such as routing, scheduling, and encoding/decoding efficiency. However a new optimization solution has been required and widely studied for complex multivariate systems such as multi-hop MIMO networks. Cross-layer optimization has been introduced as the basic framework for the theoretical solutions to improve the network performance, and there has been a plethora of approaches to extend the cross-layer optimization processes to the multi-hop MIMO networks. Contrary to the legacy SISO, if the cross-layer optimization is applied to MIMO networks without appropriate variables reduction, the computation complexity increases exponentially. Linking the physical layer operations of MU-MIMO to other layer features such as MAC scheduling may cause a tremendous computational overhead. The problem itself has characteristics that cannot be easily expressed in LP, and even if expressed in LP, numerous variables presented in the system prevent a practical optimization. The purpose of this paper is to solve the problem of minimum length scheduling that satisfies a given traffic demand in a multi-hop MIMO network with a cross-layer optimization scheme. The solution we proposed is to devise an optimized scheduling algorithm based on LP decomposition through column generation. Through various mathematical analysis and test results, we have confirmed that the proposed method greatly improves the system performance significantly.
KW - MIMO;Link Scheduling;Optimization;WLANs;Column Generation;Wireless networks
DO - 10.34163/jkits.2020.15.5.008
ER -
Young-myoung Kang. (2020). Optimizing MIMO Link Scheduling. Journal of Knowledge Information Technology and Systems, 15(5), 649-658.
Young-myoung Kang. 2020, "Optimizing MIMO Link Scheduling", Journal of Knowledge Information Technology and Systems, vol.15, no.5 pp.649-658. Available from: doi:10.34163/jkits.2020.15.5.008
Young-myoung Kang "Optimizing MIMO Link Scheduling" Journal of Knowledge Information Technology and Systems 15.5 pp.649-658 (2020) : 649.
Young-myoung Kang. Optimizing MIMO Link Scheduling. 2020; 15(5), 649-658. Available from: doi:10.34163/jkits.2020.15.5.008
Young-myoung Kang. "Optimizing MIMO Link Scheduling" Journal of Knowledge Information Technology and Systems 15, no.5 (2020) : 649-658.doi: 10.34163/jkits.2020.15.5.008
Young-myoung Kang. Optimizing MIMO Link Scheduling. Journal of Knowledge Information Technology and Systems, 15(5), 649-658. doi: 10.34163/jkits.2020.15.5.008
Young-myoung Kang. Optimizing MIMO Link Scheduling. Journal of Knowledge Information Technology and Systems. 2020; 15(5) 649-658. doi: 10.34163/jkits.2020.15.5.008
Young-myoung Kang. Optimizing MIMO Link Scheduling. 2020; 15(5), 649-658. Available from: doi:10.34163/jkits.2020.15.5.008
Young-myoung Kang. "Optimizing MIMO Link Scheduling" Journal of Knowledge Information Technology and Systems 15, no.5 (2020) : 649-658.doi: 10.34163/jkits.2020.15.5.008
