IEICE TRANSACTIONS on Communications
Subchannel Allocation with Nash Bargaining Solutions for Delay Sensitive Traffic in OFDMA Networks
Summary :
Efficient resource allocation for delay-sensitive traffic, such as telephony and video streaming, in Orthogonal Frequency Division Multiple Access (OFDMA) networks is needed to increase system performance. In our system, users try to achieve a low queuing delay and buffer space usage by competing for transmission over the subchannels. We formulate this problem as a bargaining game and use the Nash Bargaining Solution (NBS) to realize a fair and efficient subchannel allocation for the users. Simulation results show performance improvements, with regard to packet dropping and delay distribution, over other algorithms.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E94-B No.4 pp.1110-1113
- Publication Date
- 2011/04/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E94.B.1110
- Type of Manuscript
- LETTER
- Category
- Wireless Communication Technologies
Authors
Keyword
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Hui DENG, Xiaoming TAO, Youzheng WANG, Jianhua LU, "Subchannel Allocation with Nash Bargaining Solutions for Delay Sensitive Traffic in OFDMA Networks" in IEICE TRANSACTIONS on Communications,
vol. E94-B, no. 4, pp. 1110-1113, April 2011, doi: 10.1587/transcom.E94.B.1110.
Abstract: Efficient resource allocation for delay-sensitive traffic, such as telephony and video streaming, in Orthogonal Frequency Division Multiple Access (OFDMA) networks is needed to increase system performance. In our system, users try to achieve a low queuing delay and buffer space usage by competing for transmission over the subchannels. We formulate this problem as a bargaining game and use the Nash Bargaining Solution (NBS) to realize a fair and efficient subchannel allocation for the users. Simulation results show performance improvements, with regard to packet dropping and delay distribution, over other algorithms.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E94.B.1110/_p
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@ARTICLE{e94-b_4_1110,
author={Hui DENG, Xiaoming TAO, Youzheng WANG, Jianhua LU, },
journal={IEICE TRANSACTIONS on Communications},
title={Subchannel Allocation with Nash Bargaining Solutions for Delay Sensitive Traffic in OFDMA Networks},
year={2011},
volume={E94-B},
number={4},
pages={1110-1113},
abstract={Efficient resource allocation for delay-sensitive traffic, such as telephony and video streaming, in Orthogonal Frequency Division Multiple Access (OFDMA) networks is needed to increase system performance. In our system, users try to achieve a low queuing delay and buffer space usage by competing for transmission over the subchannels. We formulate this problem as a bargaining game and use the Nash Bargaining Solution (NBS) to realize a fair and efficient subchannel allocation for the users. Simulation results show performance improvements, with regard to packet dropping and delay distribution, over other algorithms.},
keywords={},
doi={10.1587/transcom.E94.B.1110},
ISSN={1745-1345},
month={April},}
Copy
TY - JOUR
TI - Subchannel Allocation with Nash Bargaining Solutions for Delay Sensitive Traffic in OFDMA Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 1110
EP - 1113
AU - Hui DENG
AU - Xiaoming TAO
AU - Youzheng WANG
AU - Jianhua LU
PY - 2011
DO - 10.1587/transcom.E94.B.1110
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E94-B
IS - 4
JA - IEICE TRANSACTIONS on Communications
Y1 - April 2011
AB - Efficient resource allocation for delay-sensitive traffic, such as telephony and video streaming, in Orthogonal Frequency Division Multiple Access (OFDMA) networks is needed to increase system performance. In our system, users try to achieve a low queuing delay and buffer space usage by competing for transmission over the subchannels. We formulate this problem as a bargaining game and use the Nash Bargaining Solution (NBS) to realize a fair and efficient subchannel allocation for the users. Simulation results show performance improvements, with regard to packet dropping and delay distribution, over other algorithms.
ER -
English
