Hybrid interference alignment and power allocation for multi-user interference MIMO channels

Science China Information Sciences

Volumn 56, Issue 4, 2013, Pages 1-9

  Shu, Feng ^a,b   You, XiaoHu ^b   Wang, Mao ^a   Han, YuBing ^a   Li, Yang ^c   Sheng, WeiXing ^a  

^a NANJING UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b SOUTHEAST UNIVERSITY   (China)

^c The University of Texas at Dallas   (United States)

Author keywords

interference alignment; Max SINR; Max SLNR; power allocation; sum rate

Indexed keywords

FADING CHANNELS; GAME THEORY; SIGNAL INTERFERENCE; SIGNAL RECEIVERS; TRANSMITTERS;

INTERFERENCE ALIGNMENT; MAX-SINR; MAX-SLNR; POWER ALLOCATIONS; SUM-RATE;

SIGNAL TO NOISE RATIO;

EID: 84875644479     PISSN: 1674733X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11432-012-4549-z     Document Type: Article

References (17)

1. Gomadam K, Cadambe V R, Jafar S A. Approaching the capacity of wireless networks through distributed interference alignment. In: Proceedings of the IEEE GLOBECOM, New Orleans, 2008. 1-6.
2. Sadek M, Tarighat A, Sayed A H. A leakage-based precoding scheme for downlink multi-user MIMO channels. IEEE Trans Wirel Commun, 2007, 6: 1711-1721.
3. Maddah-Ali M A, Motahari A S, Khandani A K. Signaling over MIMO mulit-base systems: combination of multi-acess and broadcast schemes. In: Proceedings of the IEEE International Information Theory (ISIT), Seatle, 2006. 2104-2108.
4. Li L E, Alimi R, Shen D, et al. A general algorithm for interference alignment and cancellation in wireless networks. In: Proceedings of the IEEE INFOCOM, San Diego, 2010. 1-9.
5. Niu B, Haimovich A M. Interference subspace tracking for network interference alignment in cellular systems. In: Proceedings IEEE GLOBECOM, Honolulu, 2009. 1-5.
6. Schmidt D A, Shi C, Berry R A, et al. Minimum mean squared error interference alignment. In: Asilomar Conference in Signals, Systems and Computers, New Orleans, 2009. 1-6.
7. Dotzler A, Schmidt D, Dietl G, et al. Gradient projection based interference alignment for the MIMO X channel. In: International ITG workshop on Smart Antennas (WSA 2010), Bremen, 2010. 355-360.
8. Jafar S A, Shamai S. Degrees of freedom region of the MIMO X channel. IEEE Trans Inf Theory, 2008, 54: 151-170.
9. Cadambe V R, Jafar S A. Interference alignment and degrees of freedom of the K-user interference channel. IEEE Trans Inf Theory, 2008, 54: 3425-3441.
10. Maddah-Ali M A, Motahari A S, Khandani A K. Communication over MIMO X channels: Interference alignment, decomposition, and performance analysis. IEEE Trans Inf Theory, 2008, 54: 3457-3470.
11. Boyd S, Vandenberghe L. Convex Optimization. New York: Cambridge University Press, 2005.
12. Scutari G, Palomar D P, Fancchinei F, et al. Convex optimization, game theory, and variational inequality theory. IEEE Signal Processing Magazine, 2010, 27: 35-49.
13. Goldsmith A. Wireless Communications. New York: Cambridge University Press, 2005.
14. Wang J Z, Milstein L B. CDMA overlay situations for micro-cellular mobile communications. IEEE Trans Commun, 1995, 43: 603-614.
15. Wang J, Chen J. Performance of wideband CDMA systems with complex spreading and imperfect channel estimation. IEEE J Sel Areas Commun, 2001, 19: 152-163.
16. Xiao C, Wu J, Leong S Y, et al. A discrete-time model for triply selective MIMO Rayleigh fading channels. IEEE Trans Wirel Commun, 2004, 3: 1678-1688.
17. Vucetic B, Yuan J. Space-time Coding. Chichester: John Wiley and Son Ltd, 2003.