We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Reseach Article

Antenna Selection in MIMO Cognitive Radio

by Rathnakar Acha, V. Vityanathan, Pethur Raj, S. Nagarajan
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 41 - Number 19
Year of Publication: 2012
Authors: Rathnakar Acha, V. Vityanathan, Pethur Raj, S. Nagarajan
10.5120/5653-8136

Rathnakar Acha, V. Vityanathan, Pethur Raj, S. Nagarajan . Antenna Selection in MIMO Cognitive Radio. International Journal of Computer Applications. 41, 19 ( March 2012), 36-39. DOI=10.5120/5653-8136

@article{ 10.5120/5653-8136,
author = { Rathnakar Acha, V. Vityanathan, Pethur Raj, S. Nagarajan },
title = { Antenna Selection in MIMO Cognitive Radio },
journal = { International Journal of Computer Applications },
issue_date = { March 2012 },
volume = { 41 },
number = { 19 },
month = { March },
year = { 2012 },
issn = { 0975-8887 },
pages = { 36-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume41/number19/5653-8136/ },
doi = { 10.5120/5653-8136 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:30:03.476679+05:30
%A Rathnakar Acha
%A V. Vityanathan
%A Pethur Raj
%A S. Nagarajan
%T Antenna Selection in MIMO Cognitive Radio
%J International Journal of Computer Applications
%@ 0975-8887
%V 41
%N 19
%P 36-39
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Wireless users use radio frequency (RF) channels for data and message communication. The recent research reviles that the most appropriate to tackle the issues related to spectrum utilization is a function of time and space calls for dynamic access strategies that adapt to the electromagnetic environment. Cognitive radio is one such solution with the ability to sense the RF channel evaluation and adaptively react intelligently in order to optimize the usage of the available spectrum. In this paper we focus on opportunistic resource allocation between the access points (AP) and the wireless stations (STA) for the required spectrum management policies of the wireless systems. A concurrent communication of the cognitive users, competing over the physical resources for the end users. Based on the requirements of this we propose and analyze a channel capacity [6] enhancement technique to design a cognitive multiple input multiple output (MIMO) transceiver system and propose low complexity antenna selection [15] algorithms. Using this technique only a subset of the available antennas to transmit or receive signal greatly reduce the cost and complexity of the physical layer resources of cognitive MIMO system.

References
  1. E. Baccarelli, M. Biagi, C. Pelizzoni, N. Cordeschi, F. Garzia, "Interference Suppression in MIMO systems for Throughput Enhancement and Error Reduction", IWCMC, 3-6 July 2006, Vancouver, pp. 611-616, July 2006.
  2. D. W. Bliss, K. W. Forsythe, and A. F. Yegulalp, "MIMO Communication Capacity Using Infinite Dimension Random Matrix Eigenvalue Distributions," Thirty-Fifth Asilomar Conf. on Signals, Systems & Computers 2, Pacific Grove, Calif. , 4–7 Nov. 2001, pp. 969–974.
  3. D. W. Bliss, K. W. Forsythe, A. O. Hero, and A. F. Yegulalp, "Environmental Issues for MIMO Capacity," IEEE Trans. Signal Process. 50 (9), 2002, pp. 2128–2142.
  4. R. S. Blum, "MIMO Capacity with Interference," IEEE Journal on Selected Areas in Communications, vol. 21, no. 5, pp. 793–801, 2003.
  5. J. Ma, Y. J. Zhang, X. Su, and Y. Yao, "On Capacity of Wireless Ad Hoc Networks with MIMO MMSE Receivers," IEEE Transactions on Wireless Communications, vol. 7, no. 12, pp. 5493–5503, 2008.
  6. D. Gesbert, M. Shafi, D. Shiu, P. J. Smith, and A. Naguib, "From Theory to Practice: An Overview of MIMO Space–Time Coded Wireless Systems," IEEE Journal on Selected Areas in Communications,vol. 21, no. 3, pp. 281–302, 2003.
  7. D. Gesbert, H. Bölcskei, D. A. Gore, and A. J. Paulraj, "Performance Evaluation for Scattering MIMO Channel Models," Thirty-Fourth Asilomar Conf. on Signals, Systems & Computers 1, Pacific Grove, Calif. , 29 Oct. –1 Nov. 2001, pp. 748–752.
  8. A. Gorokhov, D. A. Gore, and A. J. Paulraj, "Receive antenna selection for mimo spatial multiplexing: Theory and algorithms", IEEE Trans. On Signal Processing-Special Issue on MIMO Wireless Communications, vol. 51, no. 11, pp. 2796-2807, Nov. 2003.
  9. K. Hamdi, W. Zhang and K. B. Latief, User scheduling in Cognitive MIMO 2008. "Low-Complexity Antenna Selection and Broadcast systems", proc of IEEE ICC.
  10. S. Haykin, "Cognitive Radio: Brain–Empowered Wireless Communications," IEEE Journal on Selected Areas in Communications, vol. 23, no. 2, pp. 201–220, 2005.
  11. J. Jiang, et al. , "Correlation Analysis of Multiple-Input Multiple-Output Channels with Cross-Polarized Antennas," Proceedings of APCC2008, 2008.
  12. N. Jindal, "MIMO Broadcast Channels with Finite-rate Feedback", IEEE Trans. Inform. Theory, vol. 52, no. 11, pp. 5045-5060, Nov 2006.
  13. S. -J. Kim and G. B. Giannakis, "Optimal Resource Allocation for MIMO Ad Hoc Cognitive Radio Networks," in Proceedings of the 46th Annual Allerton Conference on Communication, Control, and Computing, 2008, pp. 39–45.
  14. A. J. Paulraj, D. A. Gore, R. U. Nabar, H. Bolcskei, "An Overview of MIMO Communications: A Key to Gigabit Wireless", Proc. of IEEE, pp. 198- 218, Feb. 2004.
  15. Peter Cain, "Using Channel Condition Number to Visualize MIMO Performance," IWPC MIMO, 12 November 2008
  16. Rathnakar Achary, V. Vaityanathan, Pethur Raj Chellaih, S. Nagarajan "Antenna selection for performance enhancement of MIMO Technology in Wireless LAN" IJCSI International Journal of Computer Science Issues, Vol. 8, Issue 1, January 2011
  17. W. Santipach and M. L. Honig, "Capacity of a Multiple-Antenna Fading Channel with a Quantized Precoding Matrix," IEEE Trans. Inform. Thoery, vol. 55, No. 3, pp. 1218-1234, Mar. 2009.
  18. G. Scutari, D. P. Palomar, and S. Barbarossa, "MIMO cognitive radio: A game theoretical approach," submitted to IEEE Trans. on Signal Processing (2008). See also Proc. of the 9th IEEE Workshop on Signal Processing Advances for Wireless Communications (SPAWC), Recife, Pernambuco, Brazil, July 6–9, 2008.
  19. "Spatial Channel Model for Multiple Input Multiple Output (MIMO) Simulations," 3GPP TR 25. 996, V7. 0. 0, available on line at http://www. 3gpp. org/FTP/Specs/html-info/25996. htm.
  20. R. Tresch, M. Guillaud, and E. Riegler, "On the achievability of interference alignment in the K-user constant MIMO interference channel," in Proc. IEEE Workshop on Statistical Signal Processing (SSP), Cardiff, Wales, UK. Sept. 2009.
  21. S. Ye and R. S. Blum, "Optimized signaling for MIMO interference systems with feedback," IEEE Trans. Signal Processing, vol. 51, no. 11, pp. 2839–2848, Nov. 2003. Y. Rong and Y. Hua, "Optimal power schedule for distributed MIMO links, IEEE Trans. Wireless Comm. , vol. 7, no. 8, pp. 2896–2900, Aug. 2008.
Index Terms

Computer Science
Information Sciences

Keywords

Spatial Diversity Mimo Rf Chain Spatial Multiplexing Cognitive Radio Binary Particle Swarm Optimization