Dynamic Behavior and Coexistence of Intelligent Radio Spectrum Access Systems

Project Duration: 1/2013-12/2015. NSF EARS Program Grant Number: CNS-1247909

Project Objectives:

Dynamic spectrum access (DSA) is a new radio spectrum access technology that can potentially ameliorate the spectrum shortage problem faced by today's rapidly increasing wireless services. It allows new wireless systems to reuse the spectrum currently occupied exclusively by primary systems. A DSA system must be intelligent enough to detect primary systems' activity and to avoid interfering with the primary systems. There is a view that DSA just needs to observe a certain policy when competing for spectrum access, just as humans observe laws, and can flexibly adopt any appropriate technology for spectrum competition. The required intelligence and complexity make it difficult to analyze DSA performance -- in particular the dynamic behavior of heterogeneous DSA systems and the coexistence of DSA devices. Some preliminary studies have noted complex behaviors such as oscillation and fluctuation that are quite different from what was intended, which can drastically degrade the efficiency and fairness of spectrum access.

The proposed project develops a theoretical framework for modeling and analyzing the dynamic behavior and the coexistence of heterogeneous DSA systems. It will provide the underlying theoretical foundation to support the development of new DSA techniques and new heterogeneous DSA systems. In order to deal with the complex interaction among intelligent DSA devices, it employs many methodologies from theoretical ecology for modeling and analyzing cooperation, competition, altruism, selfishness, and other intelligent human-like behaviors. This cross-disciplinary approach is one of the strengths of this project. Many unexpected intelligent behaviors become predictable using an analogy from the biological world.

This project benefits society by enhancing the efficiency, safety and fairness of the new radio spectrum access techniques, and by promoting their commercial success. The theoretical methodologies are useful for the development of many other heterogeneous and intelligent systems in general such as smart grids and social networks. This project stimulates the further integration of the two traditionally disparate areas: wireless communications and theoretical ecology, in both research and education, via testbed design, hands-on communications curriculum, cross-disciplinary courses and seminars.

Project Participants:

  1. Prof. Xiaohua(Edward) Li, PI, Dept. of ECE, Binghamton University
  2. Graduate and undergraduate students: Chengyu Xiong (PhD, graduated May 2015), Jeong Kyun Lee (PhD), Qi Dong (PhD), Azizjon Saliev (undergraduate student), Kasir Watkins (undergraduate student)

Project Activities:

Project outcomes:

Publications under the support of this project:

  1. X. Li, "Optimal relay selection for transmission rate maximization in multi-hop wireless networks," Electronic Letters, vol. 51, no. 12, pp. 949-950, June 11, 2015.
  2. W. Cadeau, X. Li and C. Xiong, "Markov model based jamming and anti-jamming performance analysis for cognitive radio networks," Communications and Network, vol. 6, no. 2, pp. 76-85, May 2014. (http://dx.doi.org/10.4236/cn.2014.62010)
  3. X. Li, C. Xiong and J. Lee, "Optimal set of multiple relays and distributed self-selection in cooperative networks," Communications and Networks, vol. 5, pp. 140-147, May 2013. doi:10.4236/cn.2013.52015. (http://www.scirp.org/journal/cn)
  4. X. Li, "Optimal multiple-relay selection in dual-hop amplify-and-forward cooperative networks," Electronic Letters, vol. 48, no. 12, pp. 694-695, Jun. 7, 2012.
  5. X. Li, J. K. Lee, W. Cadeau and J. Feldman, "A general framework for asynchronous distributed transmissions," submitted for journal review, 2015
  6. X. Li and J. K. Lee, "Population dynamic behavioal models for cognitive radio networks and spectrum utilization analysis," submitted for journal review, 2016
  7. X. Li and J. K. Lee, "Joint re-encoding and successive interference cancellation for multi-hop relay network," IEEE GlobalSIP'2015, Orlando, FL, Dec. 14-16, 2015.
  8. M. Ghorbaniparvar, Xiaohua Li, and Ning Zhou, "Demand side management with a human behavior model for energy cost optimization in smart grids," IEEE GlobalSIP'2015, Orlando, FL, Dec. 14-16, 2015.
  9. J. K. Lee and X. Li, "Interference immune multi-hop relaying and efficient relay selection algorithm for arbitrarily large half-duplex Gaussian wireless networks," 7th Int. Conf. Wirel. Commun. Signal Processing (WCSP'2015), Nanjing, China, Oct. 15-17, 2015.
  10. X. Li and J. Lee, "Multi-hop relaying with optimal decode-and-forward transmission rate and self-immunity to mutual interference among wireless nodes," The 49th Annual Conference on Information Sciences and Systems (CISS'2015), Johns Hopkins University, Mar. 18-20, 2015. (slides)
  11. C. Xiong and X. Li, "Competitive performance of multiple spectrum access strategies coexisting in heterogeneous cognitive radio networks," IEEE ChinaSIP 2014 (2nd IEEE China Summit & International Conference on Signal and Information Processing), Xi'an, China, July 9-13, 2014.
  12. X. Li and Z. Zhang, "Exploiting the scale of big data for data privacy: An efficient scheme based on distance-preserving artificial noise and secret matrix transform," IEEE ChinaSIP 2014 (2nd IEEE China Summit & International Conference on Signal and Information Processing), Xi'an, China, July 9-13, 2014.
  13. X. Li, C. Xiong and W. Cadeau, "A polynomial rooting approach for analysis of competition among secondary users in cognitive radio networks," IEEE DySPAN 2014, McLean, VA, Apr. 1-4, 2014.
  14. X. Li and C. Xiong, "Markov model bank for heterogenous cognitive radio networks with multiple dissimilar users and channels," International Conference on Computing, Networking and Communications (ICNC'2014), Honolulu, Hawaii, Feb. 3-6, 2014.
  15. X. Li, C. Xiong and J. Feldman, "OFDM transmission scheme for asynchronous two-way multi-relay cooperative networks with analog network coding," International Workshop on Emerging Technologies for LTE-Advanced and Beyon-4G, IEEE GlobeCom'2013, Atlanta, GA, Dec. 9-13, 2013.
  16. X. Li, "Methods to evaluate the performance of multiple uncooperative users for green cognitive radio networks," IEEE Online GreenComm, Oct. 29-31, 2013. (www.ieee-OnlineGreenComm.org)
  17. X. Li and C. Xiong, "Performance analysis of coexisting secondary users in heterogeneous cognitive radio network," the 51st Annual Allerton Conference on Communication, Control and Computing, Monticello, IL, Oct. 2-4, 2013. (pptx)
  18. C. Xiong and X. Li, "Optimal relay selections in two-way amplify-and-forward networks,"  the 47th Annual Conference on Information Sciences and Systems (CISS'2013), Johns Hopkins University, Mar. 20-23, 2013.
  19. W. Cadeau and X. Li, "Jamming probabilities and throughput of cognitive radio communications against a wideband jammer," the 47th Annual Conference on Information Sciences and Systems (CISS'2013), Johns Hopkins University, Mar. 20-23, 2013.
  20. X. Li, J. Feldman and W. Cadeau, "An OFDM-based distributed transmission scheme for uncoordinated transmitters without carrier frequency and timing synchronization," IEEE Military Communications Conference (MILCOM'2012), Orlando, FL, Oct. 2012.