© The Institution of Engineering and Technology
In a conventional cellular network underlaid with femtocells, the authors employ interference alignment (IA) to restrict cross-layer co-channel interference (X-interference). In their scenario, locally obtained channel state information is allowed to be conveyed between heterogeneous nodes to construct a decentralised IA-based scheme. Furthermore, they provide closed-form formulas for the upper bounds of X-interference in both uplink and downlink directions and characterise how they asymptotically approach zero for big enough channel dimensions used by individual nodes. Simulation results demonstrate that X-interference is always bounded by the above-mentioned limits and prove accuracy of their analytical formulas.
References
-
-
1)
-
25. Wang, L., Liang, Q.: ‘Partial interference alignment for heterogenous cellular networks’, IEEE Access, 2018, 6, pp. 22592–22601.
-
2)
-
13. Zamanighomi, M., Wang, Z.: ‘Degrees of freedom region of wireless X networks based on real interference alignment’, IEEE Trans. Inf. Theory, 2016, 62, (4), pp. 1931–1941.
-
3)
-
11. Shin, W., Lee, J.: ‘Retrospective interference alignment for the two-cell MIMO interfering multiple access channel’, IEEE Trans. Wirel. Commun., 2015, 14, (7), pp. 3937–3947.
-
4)
-
27. Pantisano, F., Bennis, M., Saad, W., et al: ‘Interference alignment for cooperative femtocell networks: a game-theoretic approach’, IEEE. Trans. Mob. Comput., 2013, 12, (11), pp. 2233–2246.
-
5)
-
9. Ghiamatyoun, A.R., Olfat, A.: ‘Bounds on achievable degrees of freedom in blind cellular network’, IET Commun., 2016, 10, (15), pp. 2034–2042.
-
6)
-
21. El Ayach Heath, O., Lozano, A., R.W.Jr.: ‘On the overhead of interference alignment: training, feedback, and cooperation’, IEEE Trans. Wirel. Commun., 2012, 11, (11), pp. 4192–4203.
-
7)
-
7. Johnny, M., Aref, M.R.: ‘Blind interference alignment for the K-user SISO interference channel using reconfigurable antennas’, IEEE Commun. Lett., 2018, 22, (5), pp. 1046–1049.
-
8)
-
29. Zhu, X., Xiao, Ch., Zeng, J., et al: ‘Virtual cell interference alignment in ultra-dense network’. IEEE Conf. on China Communications (ICCC), Chengdu, China, 2016.
-
9)
-
24. Morales-Cespedes, M., Plata-Chaves, J., Toumpakaris, D., et al: ‘Cognitive blind interference alignment for macro-femto networks’, IEEE Trans. Signal Process., 2017, 65, (19), pp. 5121–5136.
-
10)
-
32. Ghiamatyoun, A.R., Olfat, A.: ‘Downlink interference alignment in two-tier femtocell networks’, J. Wirel. Pers. Commun., 2015, 82, (2), pp. 777–798.
-
11)
-
8. Zhou, Q.F., Huang, A., Peng, M., et al: ‘On the mode switching of reconfigurable-antenna-based blind interference alignment’, IEEE Trans. Veh. Technol., 2017, 66, (8), pp. 6958–6968.
-
12)
-
17. Zeng, H., Shi, Y., Hou, Y.T., et al: ‘OFDM-based interference alignment in single-antenna cellular wireless networks’, IEEE Trans. Commun., 2017, 65, (10), pp. 4492–4506.
-
13)
-
15. Nosrat-Makouei, B., Ganti, R.K., Andrews, J.G., et al: ‘MIMO interference alignment in random access networks’, IEEE Trans. Wirel. Commun., 2013, 61, (12), pp. 5042–5055.
-
14)
-
2. Mili, M.R., Hamdi, K.A., Marvasti, F., et al: ‘Joint optimization for optimal power allocation in OFDMA femtocell networks’, IEEE Commun. Lett., 2016, 20, (1), pp. 133–136.
-
15)
-
28. Shi, Y., Zhu, G., Lin, S., et al: ‘Coalition game theory for cooperative interference management in femtocell networks’, Math. Probl. Eng.,, 2015, 2015, pp. 1–10, Article ID 767649 .
-
16)
-
34. Jafar, S.A., Vishwanath, S.: ‘Generalized degrees of freedom of the symmetric Gaussian K user interference channel’, IEEE Trans. Inf. Theory, 2010, 56, (7), pp. 3297–3303.
-
17)
-
1. Gu, W.W.B., Yamori, K., Tanaka, Y.: ‘Financial benefit analysis of macro-femto network structures based on TCO approach’. IEEE Int. Conf. on Advanced Communication Technology (ICACT), Pyeongchang, South Korea, January 2016, pp. 838–842.
-
18)
-
16. Mungara, R., Morales-Jimenez, D., Lozano, A.: ‘System-level performance of interference alignment’, IEEE Trans. Wirel. Commun., 2015, 14, (2), pp. 1060–1070.
-
19)
-
6. Morales-Cespedes, M., Plata-Chaves, J., Toumpakaris, D., et al: ‘Blind interference alignment for cellular networks’, IEEE Trans. Signal Process., 2015, 63, (1), pp. 41–56.
-
20)
-
4. Razavi, S.M., Ratnarajah, T.: ‘Performance analysis of interference alignment under CSI mismatch’, IEEE Trans. Veh. Technol., 2014, 63, (9), pp. 4740–4748.
-
21)
-
5. Schreck, J., Wunder, G., Jung, P.: ‘Robust iterative interference alignment for cellular networks with limited feedback’, IEEE Trans. Wirel. Commun., 2015, 14, (2), pp. 882–894.
-
22)
-
23. Kalokidou, V., Johnson, O., Piechocki, R.: ‘Blind interference alignment in general heterogeneous networks’, IEEE Personal, Indoor and Mobile Radio Communications (PIMRC), Washington, DC, US, 2015.
-
23)
-
10. Tang, J., So, D.K.C., Alsusa, E., et al: ‘Energy efficiency optimization with interference alignment in multicell MIMO interfering broadcast channels’, IEEE Trans. Commun., 2015, 63, (7), pp. 2486–2499.
-
24)
-
3. Bresler, G., Cartwright, D., Tse, D.: ‘Feasibility of interference alignment for the MIMO interference channel’, IEEE Trans. Inf. Theory, 2014, 60, (9), pp. 5573–5586.
-
25)
-
35. Short, M.: ‘Improved inequalities for the poisson and binomial distribution and upper tail quantile functions’,ISRN Probab. Stat., 2013, 2013, pp. 1–6, Article ID412958.
-
26)
-
30. Zhang, H., Li, H., Lee, J.H., et al: ‘QoS-based interference alignment with similarity clustering for efficient subchannel allocation in dense small cell networks’, IEEE Trans. Commun., 2017, 65, (11), pp. 5054–5066.
-
27)
-
22. Mungara, R., George, G., Lozano, A.: ‘Overhead and spectral efficiency of pilot-assisted interference alignment in time-selective fading channels’, IEEE Trans. Wirel. Commun., 2014, 13, (9), pp. 4884–4895.
-
28)
-
19. Hasani-Baferani, M., Abouei, J., Zeinalpour-Yazdi, Z.: ‘Interference alignment in overlay cognitive radio femtocell networks’, IET J. Commun., 2016, 10, (11), pp. 1401–1410.
-
29)
-
18. Zhao, N., Yu, F.R., Jin, M., et al: ‘Interference alignment and its applications: a survey, research issues and challenges’, IEEE Commun. Surv. Tutor., 2016, 18, (3), pp. 1779–1803, DOI 10.1109/COMST.2016.2547440.
-
30)
-
26. Mosleh, S., Ashdown, J., Matyjas, J., et al: ‘Interference alignment for downlink multi-cell LTE-advanced systems with limited feedback’, IEEE Trans. Wirel. Commun., 2016, 15, (12), pp. 8107–8121.
-
31)
-
12. Yang, L., Zhang, W.: ‘Interference alignment with asymmetric complex signaling on MIMO X channels’, IEEE Trans. Commun., 2014, 62, (10), pp. 3560–3570.
-
32)
-
33. Cheung, W.C., Quek, T.Q.S., Kountouris, M.: ‘Throughput optimization, spectrum allocation, and access control in two-tier femtocell networks’, IEEE J. Sel. Areas Commun., 2012, 30, (3), pp. 561–574.
-
33)
-
20. Nguyen, T.M., Quek, T.Q.S., Shin, H.: ‘Opportunistic interference alignment in MIMO femtocell networks’, IEEE Int. Symp. on Information Theory (ISIT), 2012, pp. 2631–2635.
-
34)
-
31. Nguyen, T.M., Jeong, Y., Quek, T.Q.S., et al: ‘Interference alignment in a Poisson field of MIMO femtocells’, IEEE Trans. Wirel. Commun., 2013, 12, (6), pp. 2633–2645.
-
35)
-
14. Sridharan, G., Liu, S., Yu, W.: ‘Role of interference alignment in wireless cellular network optimization’, IEEE Trans. Commun., 2016, 64, (12), pp. 5319–5333.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-com.2019.0196
Related content
content/journals/10.1049/iet-com.2019.0196
pub_keyword,iet_inspecKeyword,pub_concept
6
6