Joint Transmit Rate, Power and Antenna Allocation for MIMO Systems with Multimedia Traffic

Kai ZHANG; Zhisheng NIU

doi:10.1093/ietcom/e89-b.6.1939

Joint Transmit Rate, Power and Antenna Allocation for MIMO Systems with Multimedia Traffic

Kai ZHANG, Zhisheng NIU

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This paper proposes an adaptive transmission scheme for MIMO systems to provide different bit error rates and transmission rates for multimedia traffic. The adaptive transmission scheme allocates antennas, rate and power jointly according to the feedback information to satisfy the diverse QoS requirements of the multimedia traffic. Furthermore, an efficient search algorithm with low complexity is proposed for practical implementation. Simulation results show that the proposed scheme improves the spectral efficiency while guaranteeing the QoS requirements of multimedia traffic. Moreover, the proposed search algorithm achieves close optimal performance with great complexity reduction.

Publication: IEICE TRANSACTIONS on Communications Vol.E89-B No.6 pp.1939-1942

Publication Date: 2006/06/01

Publicized

Online ISSN: 1745-1345

DOI: 10.1093/ietcom/e89-b.6.1939

Type of Manuscript: LETTER

Category: Wireless Communication Technologies

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Kai ZHANG, Zhisheng NIU, "Joint Transmit Rate, Power and Antenna Allocation for MIMO Systems with Multimedia Traffic" in IEICE TRANSACTIONS on Communications, vol. E89-B, no. 6, pp. 1939-1942, June 2006, doi: 10.1093/ietcom/e89-b.6.1939.
Abstract: This paper proposes an adaptive transmission scheme for MIMO systems to provide different bit error rates and transmission rates for multimedia traffic. The adaptive transmission scheme allocates antennas, rate and power jointly according to the feedback information to satisfy the diverse QoS requirements of the multimedia traffic. Furthermore, an efficient search algorithm with low complexity is proposed for practical implementation. Simulation results show that the proposed scheme improves the spectral efficiency while guaranteeing the QoS requirements of multimedia traffic. Moreover, the proposed search algorithm achieves close optimal performance with great complexity reduction.
URL: https://globals.ieice.org/en_transactions/communications/10.1093/ietcom/e89-b.6.1939/_p

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@ARTICLE{e89-b_6_1939,
author={Kai ZHANG, Zhisheng NIU, },
journal={IEICE TRANSACTIONS on Communications},
title={Joint Transmit Rate, Power and Antenna Allocation for MIMO Systems with Multimedia Traffic},
year={2006},
volume={E89-B},
number={6},
pages={1939-1942},
abstract={This paper proposes an adaptive transmission scheme for MIMO systems to provide different bit error rates and transmission rates for multimedia traffic. The adaptive transmission scheme allocates antennas, rate and power jointly according to the feedback information to satisfy the diverse QoS requirements of the multimedia traffic. Furthermore, an efficient search algorithm with low complexity is proposed for practical implementation. Simulation results show that the proposed scheme improves the spectral efficiency while guaranteeing the QoS requirements of multimedia traffic. Moreover, the proposed search algorithm achieves close optimal performance with great complexity reduction.},
keywords={},
doi={10.1093/ietcom/e89-b.6.1939},
ISSN={1745-1345},
month={June},}

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TY - JOUR
TI - Joint Transmit Rate, Power and Antenna Allocation for MIMO Systems with Multimedia Traffic
T2 - IEICE TRANSACTIONS on Communications
SP - 1939
EP - 1942
AU - Kai ZHANG
AU - Zhisheng NIU
PY - 2006
DO - 10.1093/ietcom/e89-b.6.1939
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E89-B
IS - 6
JA - IEICE TRANSACTIONS on Communications
Y1 - June 2006
AB - This paper proposes an adaptive transmission scheme for MIMO systems to provide different bit error rates and transmission rates for multimedia traffic. The adaptive transmission scheme allocates antennas, rate and power jointly according to the feedback information to satisfy the diverse QoS requirements of the multimedia traffic. Furthermore, an efficient search algorithm with low complexity is proposed for practical implementation. Simulation results show that the proposed scheme improves the spectral efficiency while guaranteeing the QoS requirements of multimedia traffic. Moreover, the proposed search algorithm achieves close optimal performance with great complexity reduction.
ER -