© The Institution of Engineering and Technology
Interference alignment (IA) is a data transmission scheme that achieves maximum multiplexing gains in interference channel. This study investigates the theoretical sum rate for IA. By analysing both the asymptotic eigenvalues distribution and the magnitude of the effective channel after interference cancellation in IA, a closed-form of sum rate expression is derived for Gaussian interference channel. Numerical results show that the closed-form results nearly coincide with that derived from numerical results of IA.
References
-
-
1)
-
14. Symeon, C., Björn, O.: ‘Interference mitigation techniques for clustered multicell joint decoding systems’, EURASIP J. Wirel. Commun. Netw., 2011, 132, .
-
2)
-
4. Ordentlich, O., Erez, U., Nazer, B.: ‘The approximate sum capacity of the symmetric Gaussian K-user interference channel’. 2012 IEEE Int. Symp. Information Theory Proc. (ISIT), 2012, pp. 2072–2076.
-
3)
-
3. Saha, S., Berry, R.A.: ‘Sum-capacity of a class of K-user Gaussian interference channels within O(K) bits’. 2011 49th Annual Allerton Conf. Communication, Control, and Computing (Allerton), Monticello, IL, 28–30 September 2011, pp. 847–854.
-
4)
-
10. Gomadam, K., Cadambe, V.R., Jafar, S.A.: ‘A distributed numerical approach to interference alignment and applications to wireless interference networks’, IEEE Trans. Inf. Theory, 2011, 57, (6), pp. 3309–3322 (doi: 10.1109/TIT.2011.2142270).
-
5)
-
I.E. Telatar
.
Capacity of multi-antenna Gaussian channels.
Eur. Trans. Telecommun.
,
6 ,
585 -
595
-
6)
-
9. Bolcskei, H., Thukral, I.: ‘Interference alignment with limited feedback’. IEEE Int. Symp. Information Theory (ISIT 2009), Seoul, 28 June–3 July 2009, pp. 1759–1763.
-
7)
-
16. Rao, N.R., Edelman, A.: ‘The polynomial method for random matrices’, Found. Comput. Math., 2008, 8, (6), pp. 649–702 (doi: 10.1007/s10208-007-9013-x).
-
8)
-
19. Peacock, M.J.M., Collings, I.B., Honig, M.L.: ‘Asymptotic spectral efficiency of multiuser multisignature CDMA in frequency-selective channels’, IEEE Trans. Inf. Theory, 2006, 52, (3), pp. 1113–1129 (doi: 10.1109/TIT.2005.864427).
-
9)
-
5. Ghasemi-Goojani, S., Behroozi, H.: ‘On the sum-capacity and lattice-based transmission strategies for state-dependent Gaussian interference channel’. 2012 IEEE 23rd Int. Symp. Personal Indoor and Mobile Radio Communications (PIMRC), Sydney, NSW, 2012, pp. 1944–1948.
-
10)
-
14. Symeon, C., Björn, O.: ‘Interference mitigation techniques for clustered multicell joint decoding systems’, EURASIP J. Wirel. Commun. Netw., 2011, 132, .
-
11)
-
10. Wang, Q.-M., Zhang, Z.-P., Jie, F.-K., Dang, Z.-J.: ‘Research on diversity detection algorithm for interference alignment’, J. Electron. Inf. Technol., 2012, 34, (6), pp. 1393–1397 (doi: 10.3724/SP.J.1146.2011.01039).
-
12)
-
6. Bresler, G., Cartwright, D., Tse, D.: ‘Feasibility of interference alignment for the MIMO interference channel: the symmetric square case’. 2011 IEEE Information Theory Workshop (ITW), Paraty, 16–20 October 2011, pp. 447–451.
-
13)
-
8. Peters, S.W., Heath, R.W.: ‘Interference alignment via alternating minimization’. ICASSP 2009, 2009, pp. 2445–2448.
-
14)
-
V.A. Marenko ,
L.A. Pastur
.
Distribution of eigenvalues for some sets of random matrices.
Sb. Math.
,
4 ,
457 -
483
-
15)
-
12. Couillet, R., Debbah, M.: ‘Random matrix methods for wireless communications’ (Cambridge University Press, 2011).
-
16)
-
18. Shen, H., Li, B., Luo, Y.: ‘Precoding design using interference alignment for the network MIMO’. 2009 IEEE 20th Int. Symp. Personal, Indoor and Mobile Radio Communications, Tokyo, 13–16 September 2009, pp. 2519–2523.
-
17)
-
13. Ning, H., Ling, C., Leung, K.K.: ‘Feasibility condition for interference alignment with diversity’, IEEE Trans. Inf. Theory, 2011, 57, (5), pp. 2902–2912 (doi: 10.1109/TIT.2011.2120390).
-
18)
-
7. Chatzinotas, S., Imran, M., Hoshyar, R.: ‘On the multicell processing capacity of the cellular MIMO uplink channel in correlated Rayleigh fading environment’, IEEE Trans. Wirel. Commun., 2009, 8, (7), pp. 3704–3715 (doi: 10.1109/TWC.2009.080922).
-
19)
-
15. Tulino, A.M., Verdú, S.: ‘Random matrix theory and wireless communications’ (Now Publishers Inc., 2004).
-
20)
-
1. Sung, H., Park, S.-H., Lee, K.-J., Lee, I.: ‘Linear precoder designs for K-user interference channels’, IEEE Trans. Wirel. Commun., 2010, 9, (1), pp. 291–301 (doi: 10.1109/TWC.2010.01.090221).
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