Abstract
In underlay cognitive heterogeneous cellular network (CHCN), small cells can transmit their signals as long as the interference to macro cell is below a threshold. Consider a two-layer CHCN with polarized MIMO small cells, a novel polarization-space based interference alignment scheme is proposed. The cross-tier interference between macro cell and small cells is addressed by two given algorithms with different purposes. Orthogonal projection based polarization-space interference alignment (OP-PSIA) for ensuring the minimum effect to macro cell and interference constrained polarization-space interference alignment (IC-PSIA) for maximizing the performances of small cells if permitted. The co-tier interference between small cells are reduced by a minimum total mean squared error (MMSE) algorithm. Then we give specific solutions for two algorithms both including orthogonal projection processing and analytically iterative calculations. Simulation results show the improvement of two algorithms in BER performance of small cells while ensuring the protection of macro cell and keeping maximum overall sum rate.
This work was supported by the National Natural Science Foundation of China under Grant No. 61571062 and No. 61271177, and the Fundamental Research Funds for the Central Universities2014ZD03-01
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References
Tanab, M., Hamouda, W.: Resource allocation for underlay cognitive radio networks: a survey. IEEE Commun. Surv. Tuts. 19(2), 1249–1276 (2017)
Peng, M., Wang, C., Li, J., Xiang, H., Lau, V.: Recent advances in underlay heterogeneous networks: interference control, resource allocation, and self-organization. IEEE Commun. Surv. Tuts. 17(2), 700–729 (2015)
Guo, C., Liu, F., Chen, S., Feng, C., Zeng, Z.: Advances on exploiting polarization in wireless communications: channels, technologies, and applications. IEEE Commun. Surv. Tuts. 19(1), 125–166 (2017)
Sharma, S.K., Chatzinotas, S., Ottersten, B.: Interference alignment for spectral coexistence of heterogeneous networks. EURASIP J. Wirel. Commun. Netw. 1, 1–14 (2013)
Chen, Y., Wang, L., Sheen, W.: Joint user scheduling and interference alignment beamforming in heterogeneous wireless networks. In: IEEE PIMRC, pp. 1083–1087 (2014)
Lin, X., Guo, C., Zeng, Z., Li, D.: A novel interference avoidance scheme based on blind polarization signal processing for cognitive Femtocell network. In: Proceedings International Symposium Wireless Personal Multimedia Communications, pp. 40–44 (2012)
Gao, X., Guo, C., Chen, S.: Polarization-based cross-tier interference alignment in cognitive heterogeneous cellular network. In: International Symposium on Wireless Communication Systems (ISWCS), pp. 1–5 (2018)
Xu, T., Ma, L., Sternberg, G.: Practical interference alignment and cancellation for MIMO underlay cognitive radio networks with multiple secondary users. In: Proceedings IEEE GLOBECOM, pp. 1009–1014 (2013)
Li, D., Guo, C., Zeng, Z., Lin, X.: Dynamic spectrum sharing for TD-LTE and FD-LTE users based on joint polarization adaption and beamforming. In: IEEE 79th Vehicular Technology Conference (VTC Spring), Seoul, pp. 1–5 (2014)
Lu, E., Ma, T., Lu. I.T.: Interference alignment-like behaviors of MMSE designs for general multiuser MIMO systems. In: IEEE GLOBECOM, pp. 1–5 (2011)
Moreira, D.C., Silva, Y.C.B., Ardah, K., Freitas, W.C., F. R. P. Cavalcanti: Convergence analysis of iterative interference alignment algorithms. In: 2014 International Telecommunications Symposium (ITS), Sao Paulo, pp. 1–5 (2014)
Oestges, C., Clerckx, B.: MIMO Wireless Communications: From Real-World Progation to Space-Time Code Design. China Machine Press (2010)
Behrens, R.T., Scharf, L.L.: Signal processing applications of oblique projection operators. IEEE Trans. Sig. Process. 42(6), 1413–1424 (1994)
Shen, H., Li, B., Tao, M., Luo. Y.: The new interference alignment scheme for the MIMO interference channel. In: Proceedings IEEE WCNC, pp. 1–6 (2010)
Joham, M., Utschick, W., Nossek, J.A.: Linear transmit processing in MIMO communications systems. IEEE Trans. Sig. Process. 53(8), 2700–2712 (2005)
Evolved Universal Terrestrial Radio Access (E-UTRA): Further advancements for E-UTRA physical layer aspects, Third-Generation Partnership Project TR 36.814 (2010)
Guo, C., Wu, X., Feng, C., Zeng, Z.: Spectrum sensing for cognitive radios based on directional statistics of polarization vectors. IEEE J. Sel. Areas Commun. 31(3), 379–393 (2013)
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Gao, X., Guo, C., Chen, S. (2019). Polarization-Space Based Interference Alignment for Cognitive Heterogeneous Cellular Network. In: Moerman, I., Marquez-Barja, J., Shahid, A., Liu, W., Giannoulis, S., Jiao, X. (eds) Cognitive Radio Oriented Wireless Networks. CROWNCOM 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 261. Springer, Cham. https://doi.org/10.1007/978-3-030-05490-8_10
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