Research on improving the QoE of relay users in cooperative communication systems

doi:10.1016/S1005-8885(08)60280-0

中国邮电高校学报(英文) ›› 2009, Vol. 16 ›› Issue (6): 1-5.doi: 10.1016/S1005-8885(08)60280-0

• Wireless • 下一篇

Research on improving the QoE of relay users in cooperative communication systems

王亮,陈惠民,武卓,金彦亮

Key Laboratory of Specialty Fiber Optics and Optical Access Networks, School of Communication and Information Engineering,
Shanghai University, Shanghai 200072, China

收稿日期:2009-02-15 修回日期:1900-01-01 出版日期:2009-12-30
通讯作者: 王亮

Research on improving the QoE of relay users in cooperative communication systems

WANG Liang ,XIE Wei-hao, CHEN Hui-min, WU Zhuo

Key Laboratory of Specialty Fiber Optics and Optical Access Networks, School of Communication and Information Engineering,
Shanghai University, Shanghai 200072, China

Received:2009-02-15 Revised:1900-01-01 Online:2009-12-30
Contact: WANG Liang

摘要/Abstract

摘要：

Customers’ satisfaction with services is reflected by quality of experience (QoE). Insofar, most studies on cooperative communication have been focused on improving the QoE of source users. However, the improvement of a source user’s QoE is obtained at cost of degradation of the relay user’s QoE. On the other hand, cooperative communications can achieve performance similar to that of a conventional multiple-input multiple-output (MIMO) system by forming virtual MIMO arrays. Hence, to improve the QoE performance of relay users, this article proposes the concept of a belief threshold at the destination user and a new cooperative scheme based on the belief threshold destination (BTD) technique, while without decaying the BER performance of the communication system.

关键词:

cooperative;communication,;relay;user,;QoE,;BTD

Abstract:

Key words:

cooperative communication;relay user;QoE;BTD

WANG Liang ,XIE Wei-hao, CHEN Hui-min, WU Zhuo. Research on improving the QoE of relay users in cooperative communication systems[J]. Acta Metallurgica Sinica(English letters), 2009, 16(6): 1-5.

参考文献

1. Berkmann J, Carbonelli C, Dietrich F, et al. On 3G LTE terminal implementation - Standard, algorithms, complexities and challenges. Proceedings of the IEEE International Conference on Wireless Communications and Mobile Computing Conference 2008 (IWCMC’08), Aug 6-8, 2008, Crete Island, Greece. Piscataway, NJ, USA: IEEE, 2008: 970-975

2. Sendonaris A, Erkip E, Aazhang B. User cooperative diversity, Part I: system description. IEEE Communications Letters, 2003, 51(11): 1927-1938

3. Liu L Y, Zhou W A, Song J D. The research of quality of experience evaluation method in pervasive computing environment. Proceedings of the 1st International Symposium on Pervasive Computing and Applications, Aug 3-5, 2006, Urumqi, China. Piscataway, NJ, USA: IEEE, 2006: 178-182

4. Suzuki T, Kutsuna T, Tasaka S. QoE estimation from MAC-level QoS in audio-video transmission with IEEE 802.11e EDCA. Proceeding of the 19th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC’08), Sep 15-18, 2008, Cannes, France. Piscatawaw, NJ, USA: IEEE, 2008: 6p

5. Karami E. Tracking performance of least squares MIMO channel estimation algorithm. IEEE Communications Letters, 2007, 55(11): 2201-2209

6. Biguesh M, Gershman A B. Training-based MIMO channel estimation: a study of estimator tradeoffs and optimal training signals. IEEE Transactions on Signal Processing, 2006, 54(3): 884-893

7. Alamouti S M. A simple transmitter diversity scheme for wireless communications. IEEE Journal on Selected Areas in Communications, 1998, 16(8): 1451-1458

8. Viswanath P, Tse D N C, Laroia R. Opportunistic beamforming using dumb antennas. IEEE Transactions on Information Theory, 2002, 48(6): 1277-1294

9. Toomim M, Begel A, Graham S L. Managing duplicated code with linked editing. Proceeding of the 2004 IEEE Symposium Visual Languages and Human Centric Computing (VLHCC’04), Sep 26-29, 2004, Rome, Italy. Piscataway, NJ, USA: IEEE, 2004: 173-180

10. Hasna M O, Alamouti S M. Optimal power allocation for relayed transmissions over rayleigh-fading channels. IEEE Transactions on Wireless Communications, 2004, 3(6): 1999-2004

11. TAO Y X. The false code ratio of the terminal of CDMA mobile communication. Journal of Chongqing Vocational & Technical Institute, 2004, 13(3): 101-104 (in Chinese)

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Research on improving the QoE of relay users in cooperative communication systems

Research on improving the QoE of relay users in cooperative communication systems

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