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Volume 29 Issue 10
Jan.  2011
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Yang Tao, Hu Bo. Joint Multiuser Rate and Delay Constraint Scheduling in MIMO Broadcast Channel[J]. Journal of Electronics & Information Technology, 2007, 29(10): 2504-2507. doi: 10.3724/SP.J.1146.2006.00353
Citation: Yang Tao, Hu Bo. Joint Multiuser Rate and Delay Constraint Scheduling in MIMO Broadcast Channel[J]. Journal of Electronics & Information Technology, 2007, 29(10): 2504-2507. doi: 10.3724/SP.J.1146.2006.00353

Joint Multiuser Rate and Delay Constraint Scheduling in MIMO Broadcast Channel

doi: 10.3724/SP.J.1146.2006.00353
  • Received Date: 2006-03-27
  • Rev Recd Date: 2006-09-04
  • Publish Date: 2007-10-19
  • In this paper a wireless packet transmission scheme over Multiple Input Multiple Output (MIMO) Gaussian Broadcast Channel (GBC) is proposed. Specifically, the transmission packet delay constraint and broadcast channel capacity are considered jointly, based on QR decomposition of channel and Dirty Paper Coding (DPC), a greedy algorithm is used to exploit multiuser diversity as well as transmission packet delay constraint in base station. It demonstrates that the packet arrival rate, achievable service rate, user number and transmitting antenna number can be formulated into an optimization problem. The simulation results show that the proposed scheme can maximize the system throughput, while providing guarantees on delay performance.
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  • Berry R A and Yeh E M. Cross-layer wireless resource allocation[J].IEEE Signal Processing Mag.2004, 21(5):59-68[2]Boche H and Wiczanowski M. Optimal scheduling for high speed uplink packet access- a cross-layer approach. in Proc. Vehicular Technology Conference, VTC, Los Angeles, USA, September 2004, 5: 2575-2579.[3]Boche H andWiczanowski M. Stability region of arrival rates and optimal scheduling for MIMO-MAC-a cross-layer approach. in Proc. International Zurich Seminar on Comm., ETH Zurich, Switzerland, 2004: 18-21.[4]Jindal N and Goldsmith A. Dirty-paper coding versus TDMA for MIMO broadcast channels[J].IEEE Trans. on Inform. Theory.2005, 51(5):1783-1794[5]Samardzija D and Mandayam N. Multiple antenna transmitter optimization schemes for multiuser systems. in Proc. Vehicular Technology Conference, VTC, Orlando, FL, USA, 2003, 1: 399-403.[6]Liang Ying-Chang and Zhang Rui. Transmit optimization for MIMO channels with mixed delay-constrained and no-delay-constrained services. in Proc. Acoustics, Speech, and Signal Processing. ICASSP, Montreal, Canada,2004, 4: 17-21.[7]Taesang Yoo and Goldsmith A. Optimality of zero-forcing beamforming with multiuser diversity. in Proc. IEEE International, Conference on Communication, ICC, Seoul, Korea,2005, 1: 542-546.[8]Jiang J, Buehrer R M, and Tranter W H. High-speed downlink packet transmission with spatial multiplexing and scheduling. in Proc. Wireless Communications and Networking Conference, WCNC, Atlanta, Georgia USA, 2004, 4: 21-25.[9]Eryilmaz A, Srikant R, and Perkins J R. Stable scheduling policies for broadcast channels. in Proc. IEEE International Symposium on Information Theory, Lausanne, Switzerland, 2002: 382-382.[10]Airy M, Shakkattai S, and Heath R W. Spatially greedy scheduling in multi-user MIMO wireless systems[J].The Thrity-Seventh Asilomar Conference on Signals, Systems Computers, Pacific Grove, CA, USA.2003, 1:982-986[11]Sharif M and Hassibi B. On the capacity of MIMO broadcast channel with partial side information[J].IEEE Trans. on Inform. Theory.2005, 51(2):506-522
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