DocumentCode :
2019893
Title :
MIMO downlink scheduling in LTE systems
Author :
Zhang, Honghai ; Prasad, Narayan ; Rangarajan, Sampath
Author_Institution :
NEC Labs. America, Princeton, NJ, USA
fYear :
2012
fDate :
25-30 March 2012
Firstpage :
2936
Lastpage :
2940
Abstract :
Scheduling plays a vital role in LTE downlink systems with Multiple Input and Multiple Output (MIMO) antennas. We consider the MIMO downlink scheduling problem at the base station (BS) in LTE networks under several practical constraints mandated by the 3GPP standards. We Define a new construct called transmission mode, which denotes a particular choice of MIMO operational mode, precoding matrix, transmission rank, as well as the modulation and coding schemes (MCSs) of up to two codewords and show that both LTE systems require that each scheduled user be served using only one transmission mode in every subframe. We prove that the resulting scheduling problems are NP-hard under both backlogged and finite queue traffic models, and then develop a unified low-complexity greedy algorithm that yields solutions guaranteed to be within 1/2 of the respective optima. Extensive performance evaluation in realistic settings reveals near-optimal performance of our proposed algorithm and that it significantly outperforms the state of the art, especially under the more practical, finite queue model.
Keywords :
3G mobile communication; Long Term Evolution; MIMO communication; antenna arrays; computational complexity; matrix algebra; modulation coding; precoding; queueing theory; scheduling; 3GPP standards; LTE downlink systems; MCS; MIMO antennas; MIMO downlink scheduling; MIMO operational mode; NP-hard problems; backlogged traffic model; base station; finite queue traffic model; modulation-coding schemes; multiple-input multiple-output antennas; near-optimal performance; precoding matrix; transmission mode; transmission rank; unified low-complexity greedy algorithm; user scheduling; Algorithm design and analysis; Approximation algorithms; Downlink; MIMO; Resource management; Scheduling algorithms; Throughput;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
INFOCOM, 2012 Proceedings IEEE
Conference_Location :
Orlando, FL
ISSN :
0743-166X
Print_ISBN :
978-1-4673-0773-4
Type :
conf
DOI :
10.1109/INFCOM.2012.6195733
Filename :
6195733
Link To Document :
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