IEICE TRANSACTIONS on Fundamentals
Multi-Service MIMO Broadcasting with Different Receive Antennas
Summary :
The next generation wireless broadcasting systems combining with MIMO technology has drawn much attention recently. Considering the coexistence of receivers equipped with different numbers of antennas in these systems, there exists the special requirement to maximize the transmission rate for receivers having more antennas, while guaranteeing the normal rate for receivers having less antennas. In this letter, superposition coding is proposed to fulfill this requirement and the concept of broadcast cluster is introduced, wherein the optimized power allocation parameters are derived. The BER simulations for multiple services are provided to verify the significant SNR performance gap between receivers with various numbers of receive antennas.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E97-A No.9 pp.1994-1997
- Publication Date
- 2014/09/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E97.A.1994
- Type of Manuscript
- LETTER
- Category
- Communication Theory and Signals
Authors
Ruifeng MA
Tsinghua University
Zhaocheng WANG
Tsinghua University
Zhixing YANG
Tsinghua University
Keyword
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Ruifeng MA, Zhaocheng WANG, Zhixing YANG, "Multi-Service MIMO Broadcasting with Different Receive Antennas" in IEICE TRANSACTIONS on Fundamentals,
vol. E97-A, no. 9, pp. 1994-1997, September 2014, doi: 10.1587/transfun.E97.A.1994.
Abstract: The next generation wireless broadcasting systems combining with MIMO technology has drawn much attention recently. Considering the coexistence of receivers equipped with different numbers of antennas in these systems, there exists the special requirement to maximize the transmission rate for receivers having more antennas, while guaranteeing the normal rate for receivers having less antennas. In this letter, superposition coding is proposed to fulfill this requirement and the concept of broadcast cluster is introduced, wherein the optimized power allocation parameters are derived. The BER simulations for multiple services are provided to verify the significant SNR performance gap between receivers with various numbers of receive antennas.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E97.A.1994/_p
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@ARTICLE{e97-a_9_1994,
author={Ruifeng MA, Zhaocheng WANG, Zhixing YANG, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Multi-Service MIMO Broadcasting with Different Receive Antennas},
year={2014},
volume={E97-A},
number={9},
pages={1994-1997},
abstract={The next generation wireless broadcasting systems combining with MIMO technology has drawn much attention recently. Considering the coexistence of receivers equipped with different numbers of antennas in these systems, there exists the special requirement to maximize the transmission rate for receivers having more antennas, while guaranteeing the normal rate for receivers having less antennas. In this letter, superposition coding is proposed to fulfill this requirement and the concept of broadcast cluster is introduced, wherein the optimized power allocation parameters are derived. The BER simulations for multiple services are provided to verify the significant SNR performance gap between receivers with various numbers of receive antennas.},
keywords={},
doi={10.1587/transfun.E97.A.1994},
ISSN={1745-1337},
month={September},}
Copy
TY - JOUR
TI - Multi-Service MIMO Broadcasting with Different Receive Antennas
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1994
EP - 1997
AU - Ruifeng MA
AU - Zhaocheng WANG
AU - Zhixing YANG
PY - 2014
DO - 10.1587/transfun.E97.A.1994
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E97-A
IS - 9
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - September 2014
AB - The next generation wireless broadcasting systems combining with MIMO technology has drawn much attention recently. Considering the coexistence of receivers equipped with different numbers of antennas in these systems, there exists the special requirement to maximize the transmission rate for receivers having more antennas, while guaranteeing the normal rate for receivers having less antennas. In this letter, superposition coding is proposed to fulfill this requirement and the concept of broadcast cluster is introduced, wherein the optimized power allocation parameters are derived. The BER simulations for multiple services are provided to verify the significant SNR performance gap between receivers with various numbers of receive antennas.
ER -
English
