Abstract
This paper proposes a hybrid interference alignment scheme which combines maximizing signal-to-leakage-noise ratio (Max-SLNR) at transmitter and maximizing signal-to-interference-noise ratio (Max-SINR) at receiver. The proposed scheme gives the same sum rate as the existing method using Max-SINR at both transmitter and receiver by avoiding the operation of reversing channel, thus it provides a simpler solution. Furthermore, two power allocation procedures are devised based on game theory and water filling. The gain of these schemes over equal power allocation increases to 2 bit/s/Hz in correlated fading channels as large-scale fading becomes significant. Additionally, user fairness is solved by introducing weighting factors.
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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
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
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
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
Niu B, Haimovich A M. Interference subspace tracking for network interference alignment in cellular systems. In: Proceedings IEEE GLOBECOM, Honolulu, 2009. 1–5
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
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
Jafar S A, Shamai S. Degrees of freedom region of the MIMO X channel. IEEE Trans Inf Theory, 2008, 54: 151–170
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
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
Boyd S, Vandenberghe L. Convex Optimization. New York: Cambridge University Press, 2005
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
Goldsmith A. Wireless Communications. New York: Cambridge University Press, 2005
Wang J Z, Milstein L B. CDMA overlay situations for micro-cellular mobile communications. IEEE Trans Commun, 1995, 43: 603–614
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
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
Vucetic B, Yuan J. Space-time Coding. Chichester: John Wiley and Son Ltd, 2003
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Shu, F., You, X., Wang, M. et al. Hybrid interference alignment and power allocation for multi-user interference MIMO channels. Sci. China Inf. Sci. 56, 1–9 (2013). https://doi.org/10.1007/s11432-012-4549-z
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DOI: https://doi.org/10.1007/s11432-012-4549-z