Decorrelating Receiver of Interference Mitigation in MMwave Small Cells Networks

Heterogeneous networks (HetNets) that incorporate small cells save energy effectively because the small cells have lower transmission and operational power consumptions. However, the performance of HetNets depends heavily on reducing the interference. In this paper, we investigated interference cancellation (IC) with the aim of developing a decorrelating receiver. We focused on millimeter wave small cells systems in which multiuser multiple-input multiple-output transmission was utilized. We began by suppressing the interference in the multiple antennas mode by means of well-known zero-forcing and a minimum mean square error algorithm. Then, we investigated more active IC. To further reduce the impact of interference in HetNets, we developed a hybrid HetNets paradigm. Finally, we used simulations to achieve performance evaluation and comprehensive comparative analysis. Extensive numerical results verified the effectiveness of the proposed schemes. This research provides an efficient solution for suppressing multiple access interference and improving the throughput in hybrid HetNets.

[1]  Roger Pierre Fabris Hoefel,et al.  IEEE 802.11ac: Performance of MU-MIMO interference cancellation detectors with imperfect channel state information at Tx and Rx sides , 2015, 2015 7th IEEE Latin-American Conference on Communications (LATINCOM).

[2]  Michail Matthaiou,et al.  Hybrid millimeter-wave systems: a novel paradigm for hetnets , 2015, IEEE Communications Magazine.

[3]  Jeffrey G. Andrews,et al.  What Will 5G Be? , 2014, IEEE Journal on Selected Areas in Communications.

[4]  Alexei Davydov,et al.  Partially adaptive arrays application for MU-MIMO mode in a MmWave small cells , 2015, 2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

[5]  John R. Barry,et al.  Adaptive minimum bit-error rate equalization for binary signaling , 2000, IEEE Trans. Commun..

[6]  Theodore S. Rappaport,et al.  Propagation Path Loss Models for 5G Urban Micro- and Macro-Cellular Scenarios , 2015, 2016 IEEE 83rd Vehicular Technology Conference (VTC Spring).

[7]  Junyi Li,et al.  Network densification: the dominant theme for wireless evolution into 5G , 2014, IEEE Communications Magazine.

[8]  Paeiz Azmi,et al.  A novel interference cancellation aided minimum bit error rate beamforming , 2011, 2011 International Symposium on Computer Networks and Distributed Systems (CNDS).

[9]  Theodore S. Rappaport,et al.  Millimeter Wave Mobile Communications for 5G Cellular: It Will Work! , 2013, IEEE Access.

[10]  Alexei Davydov,et al.  Performance evaluation of interference mitigation techniques in the overlaying MmWave small cell network , 2015, 2015 IEEE Conference on Standards for Communications and Networking (CSCN).

[11]  Zhouyue Pi,et al.  An introduction to millimeter-wave mobile broadband systems , 2011, IEEE Communications Magazine.

[12]  Kyungwhoon Cheun,et al.  Millimeter-wave beamforming as an enabling technology for 5G cellular communications: theoretical feasibility and prototype results , 2014, IEEE Communications Magazine.

[13]  Dimitris A. Pados,et al.  On adaptive minimum probability of error linear filter receivers for DS-CDMA channels , 1999, IEEE Trans. Commun..

[14]  Hsi-Pin Ma,et al.  Beamforming-based interference cancellation for multiuser MIMO downlink communications , 2012, 2012 International Conference on Computing, Networking and Communications (ICNC).

[15]  Lajos Hanzo,et al.  Improved Markov Chain MBER Detection for Steered Linear Dispersion Coded MIMO Systems , 2009, VTC Spring 2009 - IEEE 69th Vehicular Technology Conference.

[16]  Theodore S. Rappaport,et al.  Millimeter-Wave Cellular Wireless Networks: Potentials and Challenges , 2014, Proceedings of the IEEE.

[17]  Jianxin Dai,et al.  A suboptimal detection scheme of single-user SA-MIMO system , 2013, 2013 3rd International Conference on Consumer Electronics, Communications and Networks.

[18]  Fan Wang,et al.  HF superdirective smart antenna system for interference suppression , 2015, IEICE Electron. Express.

[19]  Lajos Hanzo,et al.  Adaptive minimum bit-error rate beamforming , 2005, IEEE Transactions on Wireless Communications.

[20]  A. Lee Swindlehurst,et al.  A vector-perturbation technique for near-capacity multiantenna multiuser communication-part I: channel inversion and regularization , 2005, IEEE Transactions on Communications.

[21]  Martin Haardt,et al.  Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels , 2004, IEEE Transactions on Signal Processing.