[1] Bao Xu, Zhang Lei, Song Tiecheng,. QoE-based resource allocation protocolsin cognitive OFDMA network with hybrid model [J]. Journal of Southeast University (English Edition), 2015, 31 (1): 1-4. [doi:10.3969/j.issn.1003-7985.2015.01.001]

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QoE-based resource allocation protocolsin cognitive OFDMA network with hybrid model()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

31

Issue:

2015 1

Page:

1-4

Research Field:

Information and Communication Engineering

Publishing date:

2015-03-30

Info

Title:

QoE-based resource allocation protocolsin cognitive OFDMA network with hybrid model

Author(s):

Bao Xu¹;  Zhang Lei²;  Song Tiecheng²

¹School of Computer Science and Telecommunication Engineering, Jiangsu University, Zhenjiang 212013, China
²National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China

Keywords:

resource allocation;  cognitive radio network;  orthogonal frequency division multiple access(OFDMA);  quality of user experience;  mean opinion score

PACS:

TN915.02

DOI:

10.3969/j.issn.1003-7985.2015.01.001

Abstract:

A resource allocation protocol is presented in an orthogonal frequency division multiple access(OFDMA)cognitive radio(CR)network with a hybrid model which combines overlay and underlay models. Without disrupting the primary user(PU)transmissions, the overlay model allows the secondary user(SU)to utilize opportunistically the idle sub-channels; the underlay model allows the SU to occupy the same sub-channels with PU. The proposed protocols are designed for maximizing the quality of experience(QoE)of CR users and switching dynamically between the overlay and underlay models. QoE is measured by the mean opinion score(MOS)rather than simply fulfilling the physical and medium access control(MAC)layer requirements. The simulations considering the file transfer and video stream services show that the proposed resource allocation strategy is spectrum efficient.

References:

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[5] Zhang J, Ansari N. On assuring end-to-end QoE in next generation networks: challenges and a possible solution [J]. IEEE Communications Magazine, 2011, 49(7): 185-191.
[6] Fiedler M, Hossfeld T, Tran-Gia P. A generic quantitative relationship between quality of experience and quality of service [J]. IEEE Network, 2010, 24(2): 36-41.
[7] Sacchi C, Granelli F, Schlegel C.A QoE-oriented strategy for OFDMA radio resource allocation based on min-MOS maximization [J].IEEE Communications Letters, 2011, 15(5):494-496.
[8] Saul A, Auer G. Multiuser resource allocation maximizing the perceived quality [J]. EURASIP Journal on Wireless Communications and Networking, 2009, 2009: 1-15.
[9] Choi L U, Ivrlac M T, Steinbach E, et al. Sequence-level models for distortion-rate behaviour of compressed video [C]//IEEE International Conference on Image Processing. Genoa, Italy, 2005: Ⅱ-486-9.
[10] World Wireless Initiates New Radio. Final report on link level and system level channel models [EB/OL].(2005)[2014-05-30]. http://www.ist-winner.org/DeliverableDocuments/D5.4.pdf.

Memo

Memo:

Biography: Bao Xu(1982—), male, doctor, associate professor, xbao@ujs.edu.cn.
Foundation items: The National Natural Science Foundation of China(No.61271207, 61372104), the Natural Science Foundation of Jiangsu Province(No.BK20130530), the Natural Science Foundation of the Jiangsu Higher Education Institutions of China(No.12KJB510002), the Programs of Senior Talent Foundation of Jiangsu University(No.11JDG130).
Citation: Bao Xu, Zhang Lei, Song Tiecheng. QoE-based resource allocation protocols in cognitive OFDMA network with hybrid model[J].Journal of Southeast University(English Edition), 2015, 31(1):1-4.[doi:10.3969/j.issn.1003-7985.2015.01.001]

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