Compressive sensing based intercell interference channel estimation for heterogeneous network

IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC

Volumn 2014-October, Issue October, 2014, Pages 429-433

  Zhu, Lingchen ^a   McClellan, James H ^a  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

channel estimation; compressive sensing; heterogeneous network; intercell interference cancellation; OFDMA

Indexed keywords

CHANNEL ESTIMATION; COMPRESSED SENSING; HETEROGENEOUS NETWORKS; MOBILE TELECOMMUNICATION SYSTEMS; MULTIPLE ACCESS INTERFERENCE; NETWORK ARCHITECTURE; ORTHOGONAL FREQUENCY DIVISION MULTIPLEXING; RADIO INTERFERENCE;

COMPRESSIVE SENSING; HETEROGENEOUS NETWORK (HETNET); INTERCELL INTERFERENCE; INTERFERENCE CHANNELS; INTERFERENCE MANAGEMENT; OFDMA; ORTHOGONAL FREQUENCY DIVISION MULTIPLE ACCESS; SIGNAL-TO-INTERFERENCE RATIO;

FREQUENCY DIVISION MULTIPLE ACCESS;

EID: 84932642297     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SPAWC.2014.6941843     Document Type: Conference Paper

References (20)

1. "Presentations by ABI Research, Picochip, Airvana, IP.access, Gartner,. Telefonica Espana," 2nd Int'l. Conf. Home Access Points and. Femtocells, 2007.
2. A. Ghosh, R. Ratasuk, B. Mondal, N. Mangalvedhe, and T. Thomas, "LTE-advanced: next-generation wireless broadband technology," Wireless Communications, IEEE, vol. 17, no. 3, pp. 10-22, 2010.
3. F.-S. Chu and K.-C. Chen, "Mitigation of Macro-Femto Co-Channel Interference by Spatial Channel Separation," in Vehicular Technology Conference (VTC Spring), 2011 IEEE 73rd, 2011, pp. 1-5.
4. S. K. Sharma, S. Chatzinotas, and B. Ottersten, "Interference alignment for spectral coexistence of heterogeneous networks," EURASIP Journal on Wireless Communications and Networking, vol. 2013, no. 1, p. 46, 2013.
5. S. Coleri, M. Ergen, A. Puri, and A. Bahai, "Channel estimation techniques based on pilot arrangement in OFDM systems," Broadcasting, IEEE Transactions on, vol. 48, no. 3, pp. 223-229, 2002.
6. H.-C. Wu and X. Huang, "Joint phase/amplitude estimation and symbol detection for wireless ICI selfcancellation coded OFDM systems," Broadcasting, IEEE Transactions on, vol. 50, no. 1, pp. 49-55, 2004.
7. J. Haupt, W. Bajwa, G. Raz, and R. Nowak, "Toeplitz Compressed Sensing Matrices With Applications to Sparse Channel Estimation," Information Theory, IEEE Transactions on, vol. 56, no. 11, pp. 5862-5875, 2010.
8. J. Meng, W. Yin, Y. Li, N. Nguyen, and Z. Han, "Compressive Sensing Based High-Resolution Channel Estimation for OFDM System," Selected Topics in Signal Processing, IEEE Journal of, vol. 6, no. 1, pp. 15-25, 2012.
9. J. Tropp, J. Laska, M. Duarte, J. Romberg, and R. Baraniuk, "Beyond Nyquist: Efficient Sampling of Sparse Bandlimited Signals," Information Theory, IEEE Transactions on, vol. 56, no. 1, pp. 520-544, 2010.
10. M. Mishali and Y. Eldar, "From Theory to Practice: Sub-Nyquist Sampling of Sparse Wideband Analog Signals," Selected Topics in Signal Processing, IEEE Journal of, vol. 4, no. 2, pp. 375-391, 2010.
11. Z. Wang and G. Giannakis, "Wireless multicarrier communications," Signal Processing Magazine, IEEE, vol. 17, no. 3, pp. 29-48, 2000.
12. Z. Yu, S. Hoyos, and B. Sadler, "Mixed-signal parallel compressed sensing and reception for cognitive radio," in Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on, 2008, pp. 3861-3864.
13. D. Lopez-Perez, I. Guvenc, G. De la Roche, M. Kountouris, T. Quek, and J. Zhang, "Enhanced intercell interference coordination challenges in heterogeneous networks," Wireless Communications, IEEE, vol. 18, no. 3, pp. 22-30, 2011.
14. E. Candès, J. Romberg, and T. Tao, "Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information," Information Theory, IEEE Transactions on, vol. 52, no. 2, pp. 489-509, 2006.
15. S. S. Chen, D. L. Donoho, Michael, and A. Saunders, "Atomic decomposition by basis pursuit," SIAM Journal on Scientific Computing, vol. 20, pp. 33-61, 1998.
16. E. Candès and T. Tao, "Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?" Information Theory, IEEE Transactions on, vol. 52, no. 12, pp. 5406-5425, 2006.
17. J. Romberg, "Compressive Sensing by Random Convolution," SIAM J. Img. Sci., vol. 2, no. 4, pp. 1098-1128, Nov. 2009.
18. J. Nelson, E. Price, and M. Wootters, "New constructions of RIP matrices with fast multiplication and fewer rows," CoRR, vol. abs/1211.0986, 2012.
19. E. J. Candès, "The restricted isometry property and its implications for compressed sensing," Comptes Rendus Mathematique, vol. 346, no. 9-10, pp. 589-592, 2008.
20. E. van den Berg and M. P. Friedlander, "Probing the Pareto frontier for basis pursuit solutions," SIAM Journal on Scientific Computing, vol. 31, no. 2, pp. 890-912, 2008.