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Joint Frequency-Spatial Resource Allocation with Bipartite Matching in OFDM-MIMO Systems | IEEE Conference Publication | IEEE Xplore

Joint Frequency-Spatial Resource Allocation with Bipartite Matching in OFDM-MIMO Systems


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 c...Show More

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.
Date of Conference: 26-29 April 2009
Date Added to IEEE Xplore: 12 June 2009
CD:978-1-4244-2517-4
Print ISSN: 1550-2252
Conference Location: Barcelona, Spain

References

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