A performance evaluation framework for LTE cellular networks with beamforming

In this paper, we investigate the practical evaluation of multiple-input multiple-output (MIMO) capabilities in latest generation cellular networks. The available rate region is analytically derived for 2 transmitter-receiver pairs, each with 2 transmit and 1 receive antennas, and integrated with an evaluation framework developed within the ns3 simulator. Finally, the resulting model is evaluated with a numerical campaign specifically referring to a system compliant with long term evolution (LTE) specifications. Our results not only confirm the validity of the analytical framework, but also quantify the margin between theoretical channel maximum rate and practically achievable throughput in LTE networks exploiting MIMO, and can be employed for integrated evaluations in practical contexts.

[1]  Jinyun Zhang,et al.  Combating Interference : MU-MIMO , CoMP , and HetNet , 2012 .

[2]  Sébastien Wagner Interference-aware receiver design for MU-MIMO in LTE: Real-time performance measurements , 2014 .

[3]  Erik G. Larsson,et al.  Closed-form parameterization of the Pareto boundary for the two-user MISO interference channel , 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[4]  Leonardo Badia,et al.  Implementation of 2 × 2 MIMO in an LTE module for the ns3 simulator , 2012, 2012 IEEE 17th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD).

[5]  Leonardo Badia,et al.  Spectrum sharing improves the network efficiency for cellular operators , 2014, IEEE Communications Magazine.

[6]  Rui Chang,et al.  Interference coordination and cancellation for 4G networks , 2009, IEEE Communications Magazine.

[7]  Eduard A. Jorswieck,et al.  Optimal Beamforming in Interference Networks with Perfect Local Channel Information , 2010, IEEE Transactions on Signal Processing.

[8]  Yongming Huang,et al.  Distributed Multicell Beamforming Design Approaching Pareto Boundary with Max-Min Fairness , 2012, IEEE Transactions on Wireless Communications.

[9]  Yang Yi,et al.  Combating Interference: MU-MIMO, CoMP, and HetNet (Invited Paper) , 2012, J. Commun..

[10]  Erik G. Larsson,et al.  Complete Characterization of the Pareto Boundary for the MISO Interference Channel , 2008, IEEE Transactions on Signal Processing.

[11]  Erik G. Larsson,et al.  Does non-orthogonal spectrum sharing in the same cell improve the sum-rate of wireless operators? , 2012, 2012 IEEE 13th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC).

[12]  Pan Cao,et al.  Pareto Boundary of the Rate Region for Single-Stream MIMO Interference Channels: Linear Transceiver Design , 2012, IEEE Transactions on Signal Processing.

[13]  Preben E. Mogensen,et al.  LTE Capacity Compared to the Shannon Bound , 2007, 2007 IEEE 65th Vehicular Technology Conference - VTC2007-Spring.

[14]  Erik G. Larsson,et al.  Competition Versus Cooperation on the MISO Interference Channel , 2008, IEEE Journal on Selected Areas in Communications.

[15]  Shuguang Cui,et al.  Optimal distributed beamforming for MISO interference channels , 2010, 2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers.