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Achievable throughput of multiple access spectrum systems based on cognitive relay

Published: 21 September 2009 Publication History

Abstract

Cognitive relays form a special cooperation relationship among users in cognitive radio networks, and help increase the transmission rates of both primary users and secondary users. However, we observe that in certain scenarios, the use of relays may deteriorate the performance. In this paper, we propose a novel scheme in the MAC layer, called CodeAssist, by using network coding. It renders every relayed packet useful and recoverable as long as a sufficient number of coded packets are received by the intended terminal. CodeAssist is designed to apply network coding in every relay buffer, and moreover, leads to a lower bound of relayed packets for each secondary user. We also show numerical results for further demonstrations of the improved performance with CodeAssist.

References

[1]
ET Docket No 03-222 Notice of Proposed Rule Making and Order. FCC, Dec. 2003.
[2]
R. Ahlswede, N. Cai, S. R. Li, and R. W. Yeung. Network Information Flow. IEEE Transactions on Information Theory, 46(4):1204--1216, July 2000.
[3]
I. Akyildiz, W. Lee, M. Vuran, and S. Mohanty. NeXt Generation/Dynamic Spectrum Access/Cognitive Radio Wireless Networks: A Survey. Computer Networks, 50(13):2127--2159, 2006.
[4]
S. Chachulski, M. Jennings, S. Katti, and D. Katabi. Trading Structure for Randomness in Wireless Opportunistic Routing. In Proc. of ACM SIGCOMM, 2007.
[5]
P. Chou, Y. Wu, and K. Jain. Practical Network Coding. In Proc. of Allerton Conference on Communication, Control, and Computing, October 2003.
[6]
N. Devroye, P. Mitran, and V. Tarokh. Limits on Communications in a Cognitive Radio Channel. Communications, IEEE Transactions on, 44(6):44, 2006.
[7]
J. Gambini, O. Simeone, and U. Spagnolini. Cognitive relaying and opportunistic spectrum sensing in unlicensed multiple access channels. Spread Spectrum Techniques and Applications, 2008. ISSSTA '08. IEEE 10th International Symposium on, pages 371--375, Aug. 2008.
[8]
J. Gambini, O. Simeone, and U. Spagnolini. Cognitive Relaying and Opportunistic Spectrum Sensing in Unlicensed Multiple Access Channels. In IEEE 10th International Symposium on Spread Spectrum Techniques and Applications, 2008. ISSSTA'08, pages 371--375, 2008.
[9]
J. Gambini, O. Simeone, U. Spagnolini, Y. Bar-Ness, and Y. Kim. Stability Analysis of a Cognitive Multiple Access Channel with Primary QoS Constraints. In Signals, Systems and Computers, 2007. ACSSC 2007. Conference Record of the Forty-First Asilomar Conference on, pages 787--791, 2007.
[10]
K. Hamdi and K. Letaief. Cooperative Communications for Cognitive Radio Networks. In The 8th Annual Postgraduate Symposium, The Convergence of Telecommunications, Networking and Broadcasting.
[11]
T. Ho, R. Koetter, M. Medard, D. Karger, and M. Effros. The Benefits of Coding over Routing in a Randomized Setting. In Proc. of International Symposium on Information Theory (ISIT 2003), 2003.
[12]
A. Jovicic and P. Viswanath. Cognitive radio: An information-theoretic perspective. Arxiv preprint cs.IT/0604107, 2006.
[13]
S. Katti and H. Katabi, D.and Balakrishnan. Symbol-level network coding for wireless mesh networks. In Proc. of ACM SIGCOMM, 2008.
[14]
S. Katti, H. Rahul, W. Hu, D. Katabi, M. Medard, and J. Crowcroft. XORs in the air: practical wireless network coding. IEEE/ACM Transactions on Networking, 16(3):497--510, 2008.
[15]
P. Kumar. Re-entrant Lines. Queueing Systems, 13(1):87--110, 1993.
[16]
O. Simeone, Y. Bar-Ness, and U. Spagnolini. Stable Throughput of Cognitive Radios With and Without Relaying Capability. Communications, IEEE Transactions on, 55(12):2351--2360, 2007.
[17]
S. Sridharan and S. Vishwanath. On the Capacity of a Class of MIMO Cognitive Radios. Selected Topics in Signal Processing, IEEE Journal of, 2(1):103--117, 2008.
[18]
Q. Zhang, J. Jia, and J. Zhang. Cooperative Relay to Improve Diversity in Cognitive radio Networks. IEEE Communications Magazine, 47(2):111--117, 2009.

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  • (2017)Network Coding in Cognitive Radio Networks: A Comprehensive SurveyIEEE Communications Surveys & Tutorials10.1109/COMST.2017.266186119:3(1945-1973)Online publication date: Nov-2018
  • (2013)A novel matching model of win-win situation for optimal relay selection in cognitive radio networksProceedings 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer (MEC)10.1109/MEC.2013.6885398(2110-2113)Online publication date: Dec-2013
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Published In

cover image ACM Conferences
CoRoNet '09: Proceedings of the 2009 ACM workshop on Cognitive radio networks
September 2009
100 pages
ISBN:9781605587387
DOI:10.1145/1614235
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 21 September 2009

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Author Tags

  1. cognitive relay
  2. network coding
  3. performance analysis

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View all
  • (2021)A Fairness-Based Collaborative Communication Ecosystem Over Sustainable D2D Fogs in a 5G Industrial IoTIEEE Transactions on Industrial Informatics10.1109/TII.2020.302104017:11(7860-7870)Online publication date: Nov-2021
  • (2017)Network Coding in Cognitive Radio Networks: A Comprehensive SurveyIEEE Communications Surveys & Tutorials10.1109/COMST.2017.266186119:3(1945-1973)Online publication date: Nov-2018
  • (2013)A novel matching model of win-win situation for optimal relay selection in cognitive radio networksProceedings 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer (MEC)10.1109/MEC.2013.6885398(2110-2113)Online publication date: Dec-2013
  • (2012)A novel framework of online network coding for multicast switches with constrained buffersJournal of Electronics (China)10.1007/s11767-012-0621-528:4-6(460-467)Online publication date: 8-Mar-2012

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