Title :
Joint Frequency-Spatial Resource Allocation with Bipartite Matching in OFDM-MIMO Systems
Author :
Sun, Fanglei ; You, Mingli ; Liu, Jin ; Wen, Pingping ; Wu, Shaoquan
Author_Institution :
Res. & Innovation Center, Alcatel-Lucent Shanghai Bell Co., Ltd., Shanghai
Abstract :
In this paper, we investigate the problem of joint frequency-spatial resource allocation for OFDM-MIMO systems. Based on Hungarian algorithm, the Kuhn-Munkres algorithm can provide the maximum weight bipartite matching for assignment problems. However it can only solve one-dimension resource allocation problems. For multi-dimension problems, such as joint frequency-spatial scheduling, we propose two modified bipartite matching algorithms to optimize the resource allocation for OFDM-MIMO systems. For LTE uplink systems with particular scheduling requirements, a modified bipartite matching algorithm is proposed. The simulation results show that our proposed algorithms can effectively increase the wireless spectrum usage and achieve high system capacity.
Keywords :
MIMO communication; OFDM modulation; multi-access systems; Hungarian algorithm; Kuhn-Munkres algorithm; OFDM MIMO systems; joint frequency spatial resource allocation; maximum weight bipartite matching; multi dimension problem; Bipartite graph; Downlink; MIMO; OFDM; Radio spectrum management; Resource management; Round robin; Scheduling algorithm; Sun; Transmitting antennas;
Conference_Titel :
Vehicular Technology Conference, 2009. VTC Spring 2009. IEEE 69th
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-2517-4
Electronic_ISBN :
1550-2252
DOI :
10.1109/VETECS.2009.5073632
