M. El-absi, M. Shaat, F. Bader, and T. Kaiser, Interference alignment with frequency-clustering for efficient resource allocation in cognitive radio networks, Proc. IEEE Globecom'14, pp.979-985, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01202595

I. Akyildiz, L. Won-yeol, M. C. Vuran, and S. Mohanty, NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey, Computer Networks, vol.50, issue.13, pp.2127-2159, 2006.
DOI : 10.1016/j.comnet.2006.05.001

Z. Hu, G. Zhu, Y. Xia, and G. Liu, Multiuser subcarrier and bit allocation for MIMO-OFDM systems with perfect and partial channel information, Proc. IEEE WCNC'2004, pp.1188-1193, 2004.

H. Yongqing, Q. Peng, and H. Shao, Adaptive bit and power loading algorithm with low complexity in MIMO-OFDM systems, Journal of Systems Engineering and Electronics, vol.19, issue.3, pp.461-466, 2008.
DOI : 10.1016/S1004-4132(08)60107-3

R. Zhang and Y. Liang, Exploiting Multi-Antennas for Opportunistic Spectrum Sharing in Cognitive Radio Networks, IEEE Journal of Selected Topics in Signal Processing, vol.2, issue.1, pp.88-102, 2008.
DOI : 10.1109/JSTSP.2007.914894

T. Weiss, J. Hillenbrand, A. Krohn, and F. K. , Mutual interference in OFDM-based spectrum pooling systems, 2004 IEEE 59th Vehicular Technology Conference. VTC 2004-Spring (IEEE Cat. No.04CH37514), pp.1873-1877, 2004.
DOI : 10.1109/VETECS.2004.1390598

G. Scutari and D. P. Palomar, MIMO Cognitive Radio: A Game Theoretical Approach, IEEE Transactions on Signal Processing, vol.58, issue.2, pp.761-780, 2010.
DOI : 10.1109/TSP.2009.2032039

S. Hua, H. Liu, M. Wu, and S. S. Panwar, Exploiting MIMO antennas in cooperative cognitive radio networks, 2011 Proceedings IEEE INFOCOM, pp.2714-2722, 2011.
DOI : 10.1109/INFCOM.2011.5935102

D. N. Nguyen and M. Krunz, Spectrum management and power allocation in MIMO cognitive networks, 2012 Proceedings IEEE INFOCOM, pp.2023-2031, 2012.
DOI : 10.1109/INFCOM.2012.6195583

V. R. Cadambe and S. Jafar, Interference Alignment and Spatial Degrees of Freedom for the K User Interference Channel, 2008 IEEE International Conference on Communications, pp.3425-3441, 2008.
DOI : 10.1109/ICC.2008.190

S. M. Perlaza, N. Fawaz, S. Lasaulce, and M. Debbah, From Spectrum Pooling to Space Pooling: Opportunistic Interference Alignment in MIMO Cognitive Networks, IEEE Transactions on Signal Processing, vol.58, issue.7, pp.3728-3741, 2010.
DOI : 10.1109/TSP.2010.2046084

URL : https://hal.archives-ouvertes.fr/hal-00556132

C. Tsinos and K. Berberidis, Blind Opportunistic Interference Alignment in MIMO Cognitive Radio Systems, IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol.3, issue.4, pp.626-639, 2013.
DOI : 10.1109/JETCAS.2013.2284611

L. Sboui, H. Ghazzai, Z. Rezki, and M. Alouini, Achievable rate of cognitive radio spectrum sharing MIMO channel with space alignment and interference temperature precoding, 2013 IEEE International Conference on Communications (ICC), pp.2656-2660, 2013.
DOI : 10.1109/ICC.2013.6654937

N. Zhao, T. Qu, H. Sun, A. Nallanathan, and H. Yin, Frequency scheduling based interference alignment for cognitive radio networks, Proc. IEEE GLOBECOM'13, pp.3447-3451, 2013.

Y. Xu and S. Mao, Stackelberg Game for Cognitive Radio Networks With MIMO and Distributed Interference Alignment, IEEE Transactions on Vehicular Technology, vol.63, issue.2, pp.879-892, 2014.
DOI : 10.1109/TVT.2013.2279761

M. El-absi, M. Shaat, F. Bader, and T. Kaiser, Interference alignment based resource management in MIMO cognitive radio systems, Proc. Europ. Wirless. Conf.'14, pp.1-6, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01073533

M. El-absi and T. Kaiser, Optimal resource allocation based on interference alignment for OFDM and FBMC MIMO cognitive radio systems, 2014 European Conference on Networks and Communications (EuCNC), pp.1-5, 2014.
DOI : 10.1109/EuCNC.2014.6882676

M. El-absi, M. Shaat, F. Bader, and T. Kaiser, Power loading and spectral efficiency comparison of MIMO OFDM/FBMC for interference alignment based cognitive radio systems, 2014 11th International Symposium on Wireless Communications Systems (ISWCS), pp.480-485, 2014.
DOI : 10.1109/ISWCS.2014.6933401

URL : https://hal.archives-ouvertes.fr/hal-01073459

N. Zhao, F. Yu, and H. Sun, Adaptive Energy-Efficient Power Allocation in Green Interference-Alignment-Based Wireless Networks, IEEE Transactions on Vehicular Technology, vol.64, issue.9, 2014.
DOI : 10.1109/TVT.2014.2362005

E. Dahlman, S. Parkvall, J. Skold, 4. For-mobile-broadband, S. Gollakota et al., Interference alignment and cancellation, Proc. ACM SIGCOMM'09, ser. SIGCOMM '09, pp.159-170, 2009.

V. R. Cadambe and S. Jafar, Reflections on interference alignment and the degrees of freedom of the K-user MIMO interference channel, IEEE Inform, pp.5-8, 2009.

S. Jafar and M. J. Fakhereddin, Degrees of Freedom for the MIMO Interference Channel, IEEE Transactions on Information Theory, vol.53, issue.7, pp.2637-2642, 2007.
DOI : 10.1109/TIT.2007.899557

C. M. Yetis, T. Gou, S. Jafar, and A. H. Kayran, On Feasibility of Interference Alignment in MIMO Interference Networks, IEEE Transactions on Signal Processing, vol.58, issue.9, pp.4771-4782, 2010.
DOI : 10.1109/TSP.2010.2050480

O. Gonzalez, I. Santamaria, and C. Beltran, A general test to check the feasibility of linear interference alignment, 2012 IEEE International Symposium on Information Theory Proceedings, pp.2481-2485, 2012.
DOI : 10.1109/ISIT.2012.6283962

R. Tresch, M. Guillaud, and E. Riegler, On the achievability of interference alignment in the K-user constant MIMO interference channel, 2009 IEEE/SP 15th Workshop on Statistical Signal Processing, pp.277-280, 2009.
DOI : 10.1109/SSP.2009.5278586

G. Bresler, D. Cartwright, and D. Tse, Feasibility of interference alignment for the MIMO interference channel: The symmetric square case, 2011 IEEE Information Theory Workshop, pp.447-451, 2011.
DOI : 10.1109/ITW.2011.6089499

K. Gomadam, V. R. Cadambe, and S. Jafar, A Distributed Numerical Approach to Interference Alignment and Applications to Wireless Interference Networks, IEEE Transactions on Information Theory, vol.57, issue.6, pp.3309-3322, 2011.
DOI : 10.1109/TIT.2011.2142270

Y. Xu and S. Mao, On interference alignment in multi-user OFDM systems, Proc. IEEE GLOBECOM'12, pp.5339-5344, 2012.

Y. Xu, S. Mao, and X. Su, Interference Alignment Improves the Capacity of OFDM Systems, IEEE Transactions on Vehicular Technology, vol.65, issue.2, 2015.
DOI : 10.1109/TVT.2015.2402191

M. El-absi, M. El-hadidy, and T. Kaiser, A distributed interference alignment algorithm using min-maxing strategy, Transactions on Emerging Telecommunications Technologies, 2014.
DOI : 10.1109/ALLERTON.2009.5394806

G. Bansal, J. Hossain, and V. K. Bhargava, Optimal and Suboptimal Power Allocation Schemes for OFDM-based Cognitive Radio Systems, IEEE Transactions on Wireless Communications, vol.7, issue.11, pp.4710-4718, 2008.
DOI : 10.1109/T-WC.2008.07091

T. Weiss, J. Hillenbrand, A. Krohn, and F. K. , Mutual interference in OFDM-based spectrum pooling systems, 2004 IEEE 59th Vehicular Technology Conference. VTC 2004-Spring (IEEE Cat. No.04CH37514), pp.1873-1877, 2004.
DOI : 10.1109/VETECS.2004.1390598

Q. Zhao, S. Geirhofer, L. Tong, and B. Sadler, Opportunistic Spectrum Access via Periodic Channel Sensing, IEEE Transactions on Signal Processing, vol.56, issue.2, pp.785-796, 2008.
DOI : 10.1109/TSP.2007.907867

URL : http://acsp.ece.cornell.edu/papers/ZhaoGierhoferTongSadler08SP.pdf

T. Ban, W. Choi, B. Jung, and D. Sung, Multi-user diversity in a spectrum sharing system, IEEE Transactions on Wireless Communications, vol.8, issue.1, pp.102-106, 2009.
DOI : 10.1109/T-WC.2009.080326

S. Chen and R. Cheng, Clustering for Interference Alignment in Multiuser Interference Network, IEEE Transactions on Vehicular Technology, vol.63, issue.6, pp.1-1, 2013.
DOI : 10.1109/TVT.2013.2292897

S. , B. Halima, and A. Saadani, Joint clustering and interference alignment for overloaded femtocell networks, IEEE Wireless Communications and Networking Conference (WCNC), pp.1229-1233, 2012.

P. Nikolaos and A. Theodore, Bit and power allocation in constrained multicarrier systems: The single-user case, EURASIP J. on Advances in Signal Proc, 2007.

W. Yu, W. Rhee, S. Boyd, and J. M. Cioffi, Iterative Water-Filling for Gaussian Vector Multiple-Access Channels, IEEE Transactions on Information Theory, vol.50, issue.1, pp.145-152, 2004.
DOI : 10.1109/TIT.2003.821988

M. Pischella and E. Vivier, Comparison of distributed space and frequency interference alignment, 21st Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, pp.532-537, 2010.
DOI : 10.1109/PIMRC.2010.5671898

URL : https://hal.archives-ouvertes.fr/hal-01125994

]. L. Ma, T. Xu, and G. Sternberg, Computational Complexity of Interference Alignment for Symmetric MIMO Networks, IEEE Communications Letters, vol.17, issue.12, pp.2308-2311, 2013.
DOI : 10.1109/LCOMM.2013.111013.132057

C. Sun, Y. Yang, and Y. Yuan, Low complexity interference alignment algorithms for desired signal power maximization problem of MIMO channels, EURASIP Journal on Advances in Signal Processing, vol.2012, issue.1, 2012.
DOI : 10.1186/1687-6180-2012-137

S. W. Peters and R. W. Heath, Interference alignment via alternating minimization, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.2445-2448, 2009.
DOI : 10.1109/ICASSP.2009.4960116

Y. J. Zhang and K. B. Letaief, An Efficient Resource-Allocation Scheme for Spatial Multiuser Access in MIMO/OFDM Systems, IEEE Transactions on Communications, vol.53, issue.1, pp.107-116, 2005.
DOI : 10.1109/TCOMM.2004.840666

E. Lo, P. Chan, V. Lau, R. Cheng, K. B. Letaief et al., Adaptive Resource Allocation and Capacity Comparison of Downlink Multiuser MIMO-MC-CDMA and MIMO-OFDMA, IEEE Transactions on Wireless Communications, vol.6, issue.3, pp.1083-1093, 2007.
DOI : 10.1109/TWC.2007.05510

M. Grant and S. Boyd, CVX: Matlab software for disciplined convex programming (web page and software), 2009.