Performance analysis of amplify-and-forward relaying with hybrid-ARQ in Rayleigh fading channels

doi:10.1016/S1005-8885(08)60285-X

Acta Metallurgica Sinica(English letters) ›› 2009, Vol. 16 ›› Issue (6): 24-37.doi: 10.1016/S1005-8885(08)60285-X

• Wireless • Previous Articles Next Articles

Performance analysis of amplify-and-forward relaying with hybrid-ARQ in Rayleigh fading channels

ZHENG Kan, HU Li-jie, GU Da-qing , WANG Hai-la,WANG Wen-bo

1. Wireless Signal Processing and Network Lab, Key Laboratory of Universal Wireless Communication, Ministry of Education,
Beijing University of Posts and Telecommunications, Beijing 100876, China
2. Orange R&D (Beijing), Beijing 100080, China

Received:2008-12-26 Revised:1900-01-01 Online:2009-12-30
Contact: ZHENG Kan

Abstract

Abstract:

Hybrid automatic repeat request (HARQ) is a well-known technique for improving system throughput and link performance of wireless communication systems, including cooperative communication systems. The amplify-and-forward (AF) relaying method is one of the most attractive cooperative diversity schemes because of its low complexity. In this article, the end-to-end performance in terms of block error rate (BLER) and normalized throughput of AF relaying with HARQ transmission under the Rayleigh fading channel is analyzed. Numerical results validate the proposed analysis and demonstrate the gain of HARQ schemes in AF relaying systems. This analytical method can be extended to the systems with other HARQ protocols and other cooperative relaying schemes.

Key words:

cooperative diversity;AF;HARQ;BLER

ZHENG Kan, HU Li-jie, GU Da-qing , WANG Hai-la,WANG Wen-bo. Performance analysis of amplify-and-forward relaying with hybrid-ARQ in Rayleigh fading channels[J]. Acta Metallurgica Sinica(English letters), 2009, 16(6): 24-37.

References

1. Lamprinos I E, Prentza A, Sakka E, et al. Energy-efficient MAC protocol for patient personal area networks. Proceedings of the 27th Annual International Conference on Engineering in Medicine and Biology Society (EMBS’05), Sep 1-4, 2005, Shanghai, China. Piscataway, NJ, USA: IEEE, 2005: 3799-3802

2. Li H M, Tan J D. Medium access control for body sensor networks. Proceedings of the 16th International Conference on Computer Communications and Networks (ICCCN’07), Aug 13-16, Honolulu, HI, USA. Los Alamitos, CA, USA: IEEE Computer Society, 2007: 210-215

3. Otto C, Milenkovi A, Sanders C, et al. System architecture of a wireless body area sensor network for ubiquitous health monitoring. Journal of Mobile Multimedia, 2006, 1(4): 307-326

4. Kim Bonam, Kim Youngjoon, Lee Insung, et al. Design and implementation of a ubiquitous ECG monitoring system using SIP and the ZigBee network. Proceedings of the 2007 International Conference of Future Generation Communication and Networking (FGCN’ 07), Dec 6-8, 2007, Jeju, Korea. Piscataway, NJ, USA: IEEE, 2007: 599-604

5. Bertocco M, Gamba G, Sona A, et al. Experimental characterization of wireless sensor networks for industrial applications. IEEE Transactions on Instrumentation and Measurement, 2008, 57(8): 1537-1546

6. He J H, Tang Z Y, Chen H H, et al. An accurate and scalable analytical model for IEEE 802.15.4 slotted CSMA/CA networks. IEEE Transactions on Wireless Communications, 2009, 8(1): 440-448

7. Lee B H, Wu H K. A delayed backoff algorithm for IEEE 802.15.4 beacon-enabled LR-WPAN. Proceedings of the 6th International Conferenceon on Information, Communications & Signal Processing (ICICS’07), Dec 10-13, 2007, Singapore. Piscataway, NJ, USA: IEEE, 2007: 1-4

8. Patro R K, Raina M, Ganapathy V, et al. Analysis and improvement of contention access protocol in IEEE 802.15.4 star network. Proceedings of the 4th IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS’07), Oct 8-11, 2006, Pisa, Italy. Piscataway, NJ, USA: IEEE, 2007: 1-8

9. Jae Y H, Kim T H, Hong S P, et al. An enhanced CSMA-CA algorithm for IEEE 802.15.4 LR-WPANs. IEEE Communications Letters, 2007, 11(5): 461-463

10. Cheng L, Bourgeois A G, Zhang X. A new GTS allocation scheme for IEEE 802.15.4 networks with improved bandwidth utilization. Proceedings of the International Symposium on Communications and Information Technologies (ISCIT’07), Oct 17-19, 2007, Sydney, Australia. Piscataway, NJ, USA: IEEE, 2007: 1143-1148

11. Song J K, Ryoo J D, Kim S C, et al. A dynamic GTS allocation algorithm in IEEE 802.15.4 for QoS guaranteed real-time applications. Proceedings of the IEEE International Symposiumon Consumer Electronics (ISCE’07), Jun 20-23, 2007, Irving, TX, USA. Piscataway, NJ, USA: IEEE, 2007: 1-6

12. Huang Y K, Pang A C, Kuo T W. AGA: adaptive GTS allocation with low latency and fairness considerations for IEEE 802.15.4. Proceedings of the IEEE International Conference on Communications (ICC’06): Vol 9, Jun 11-15, 2006, Istanbul, Turkey. Piscataway, NJ, USA: IEEE, 2006: 3929-3934

13. Koubaa A, Alves M, Tovar E, et al. i-GAME: an implicit GTS allocation mechanism in IEEE 802.15.4 for time-sensitive wireless sensor networks. Proceedings of the 18th Euromicro Conference on Real-time Systems (ECRTS’06), Jul 5-7, 2006, Dresden, Germany. Piscataway, NJ, USA: IEEE, 2006: 192-202

14. Cheng L, Zhang X, Bourgeois A G. GTS allocation scheme revisited. Electronics Letters, 2007, 43(18): 1005-1006

15. IEEE 802.15.4-2006. IEEE standard for information technology- Telecommunications and information exchange between systems-Local and metropolitan area networks-Specific requirements, Part 15.4: wireless medium access control (MAC) and physical layer (PHY) specifications for low rate wireless personal area networks (LR-WPANs). 2006

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Performance analysis of amplify-and-forward relaying with hybrid-ARQ in Rayleigh fading channels

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