Compressive Interference Mitigation and Data Recovery in Cloud Radio Access Networks with Limited Fronthaul

IEEE Transactions on Signal Processing

Volumn 65, Issue 6, 2017, Pages 1437-1446

  Liu, Jiachang ^a   Liu, An ^a,b   Lau, Vincent K N ^a  

^a HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

^b HKUST SHENZHEN RESEARCH INSTITUTE   (China)

Author keywords

C RAN; Compressive sensing; interference mitigation; limited fronthaul; sparse MLE

Indexed keywords

COMPRESSED SENSING; COMPUTER SYSTEM RECOVERY; MATRIX ALGEBRA; MAXIMUM LIKELIHOOD; MAXIMUM LIKELIHOOD ESTIMATION; OPTIMIZATION; RADIO INTERFERENCE; RECOVERY; SIGNAL RECONSTRUCTION;

ALTERNATING OPTIMIZATIONS; COMPRESSIVE SENSING; CONVERGENCE CONDITIONS; INTERFERENCE MITIGATION; LIMITED FRONTHAUL; NARROWBAND INTERFERENCE MITIGATION (NBI); RADIO ACCESS NETWORKS; RESTRICTED ISOMETRY PROPERTIES (RIP);

INTERFERENCE SUPPRESSION;

EID: 85014837861     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSP.2016.2639472     Document Type: Article

References (29)

1. C. Mobile, "C-RAN: The road towards green RAN," White Paper, ver, vol. 2, 2011.
2. D. Gesbert, S. Hanly, H. Huang, S. Shamai Shitz, O. Simeone, and W. Yu, "Multi-cell MIMO cooperative networks: A new look at interference," IEEE J. Sel. Areas Commun., vol. 28, no. 9, pp. 1380-1408, Dec. 2010.
3. C. J. Bernardos, A. De Domenico, J. Ortin, P. Rost, and D. Wubben, "Challenges of designing jointly the backhaul and radio access network in a cloud-based mobile network," in Proc. IEEE Future Netw. Mobile Summit, 2013, pp. 1-10.
4. C. T. Ng and H. Huang, "Linear precoding in cooperative MIMO cellular networks with limited coordination clusters," IEEE J. Sel. AreasCommun., vol. 28, no. 9, pp. 1446-1454, Dec. 2010.
5. M. Hong, R. Sun, H. Baligh, and Z. Q. Luo, "Joint base station clustering and beamformer design for partial coordinated transmission in heterogenous networks," IEEE J. Sel. Areas Commun., vol. 31, no. 2, pp. 226-240, Feb. 2013.
6. S. Park, O. Simeone, O. Sahin, and S. Shamai, "Robust layered transmission and compression for distributed uplink reception in cloud radio access networks," IEEE Trans. Veh. Technol., vol. 63, no. 1, pp. 204-216, Jan. 2014.
7. A. Gomaa and N. Al-Dhahir, "A compressive sensing approach to NBI cancellation in mobile OFDM systems," in Proc. IEEE Global Telecommun. Conf., 2010, pp. 1-5.
8. A. Gomaa and N. Al-Dhahir, "A sparsity-aware approach for NBI estimation in MIMO-OFDM," IEEE Trans. Wireless Commun., vol. 10, no. 6, pp. 1854-1862, Jun. 2011.
9. B. Muquet, Z. Wang, G. B. Giannakis, M. De Courville, and P. Duhamel, "Cyclic prefixing or zero padding forwirelessmulticarrier transmissions?" IEEE Trans. Commun., vol. 50, no. 12, pp. 2136-2148, Dec. 2002.
10. M. A. Davenport, P. T. Boufounos, and R. G. Baraniuk, "Compressive domain interference cancellation," DTIC Document, Tech. Rep., 2009.
11. L.-H. Chang and J.-Y. Wu, "Compressive-domain interference cancellation via orthogonal projection: How small the restricted isometry constant of the effective sensing matrix can be?" in Proc. IEEE Wireless Commun. Netw. Conf., 2012, pp. 256-261.
12. A. Liu andV. Lau, "Joint interferencemitigation and data recovery in compressive domain: A sparse MLE approach," IEEE Trans. Signal Process., vol. 62, no. 19, pp. 5184-5195, Oct. 2014.
13. R. Baraniuk, M. A. Davenport, M. F. Duarte, C. Hegde, J. Laska, M. Sheikh, and W. Yin, "An introduction to compressive sensing," 2011. [Online]. Available: http://cnx.org/content/col11133/1.5/.
14. J. A. Tropp and A. C. Gilbert, "Signal recovery from random measurements via orthogonal matching pursuit," IEEE Trans. Inf. Theory, vol. 53, no. 12, pp. 4655-4666, Dec. 2007.
15. D. Needell and J. A. Tropp, "CoSaMP: Iterative signal recovery from incomplete and inaccurate samples," Appl. Comput. Harmon. Anal., vol. 26, no. 3, pp. 301-321, 2009.
16. W. Dai and O. Milenkovic, "Subspace pursuit for compressive sensing signal reconstruction," IEEE Trans. Inf. Theory, vol. 55, no. 5, pp. 2230- 2249, May 2009.
17. E. J. Candès andM. B.Wakin, "An introduction to compressive sampling," IEEE Signal Process. Mag., vol. 25, no. 2, pp. 21-30, Mar. 2008.
18. J. A. Tropp, J. N. Laska, M. F. Duarte, J. K. Romberg, and R. G. Baraniuk, "Beyond Nyquist: Efficient sampling of sparse bandlimited signals," IEEE Trans. Inf. Theory, vol. 56, no. 1, pp. 520-544, Jan. 2010.
19. J. Haupt, W. U. Bajwa, G. Raz, and R. Nowak, "Toeplitz compressed sensing matrices with applications to sparse channel estimation," IEEE Trans. Inf. Theory, vol. 56, no. 11, pp. 5862-5875, Nov. 2010.
20. L. Grippo andM. Sciandrone, "On the convergence of the block nonlinear Gauss-Seidel method under convex constraints," Oper. Res. Lett., vol. 26, no. 3, pp. 127-136, 2000.
21. J. Liu, N. Kato, J. Ma, and N. Kadowaki, "Device-to-device communication in LTE-advanced networks: A survey," IEEE Commun. Surv. Tuts., vol. 17, no. 4, pp. 1923-1940, Oct.-Dec. 2015.
22. R. G. Baraniuk, V. Cevher, M. F. Duarte, and C. Hegde, "Model-based compressive sensing," IEEE Trans. Inf. Theory, vol. 56, no. 4, pp. 1982- 2001, Apr. 2010.
23. R. Giryes and M. Elad, "RIP-based near-oracle performance guarantees for SP, CoSaMP, and IHT," IEEE Trans. Signal Process., vol. 60, no. 3, pp. 1465-1468, Mar. 2012.
24. X. Rao and V. K. Lau, "Distributed fronthaul compression and joint signal recovery in cloud-ran," IEEE Trans. Signal Process., vol. 63, no. 4, pp. 1056-1065, Feb. 2015.
25. U. E. U. conformance specification Radio, "3rd generation partnership project; technical specification group radio access network; evolved universal terrestrial radio access (E-UTRA); user equipment (UE) conformance specification radio transmission and reception," 2011.
26. R. M. Gray and D. L. Neuhoff, "Quantization," IEEE Trans. Inf. Theory, vol. 44, no. 6, pp. 2325-2383, Oct. 1998.
27. R. Vershynin, "Introduction to the non-asymptotic analysis of random matrices," 2010. [Online]. Available: arXiv:1011.3027 http://arxiv.org/abs/1011.3027.
28. E. Candes and T. Tao, "The Dantzig selector: Statistical estimation when p is much larger than n," Ann. Statist., pp. 2313-2351, 2007.
29. M. A. Davenport, J. N. Laska, J. Treichler, and R. G. Baraniuk, "The pros and cons of compressive sensing for wideband signal acquisition: Noise folding versus dynamic range," IEEE Trans. Signal Process., vol. 60, no. 9, pp. 4628-4642, Sep. 2012.