Transmit Beamforming in Dense Networks-A Review

Communication technology has prospered in manifolds over the last decade. The scarcity of spectrum as well as the demand for higher data rates and increase in capacity has become a matter of concern. Newer technologies have evolved time and again, the latest of which is Long Term Evolution (LTE) and Long Term Evolution Advanced (LTE-A) systems more commonly known as 4G technology. The striking feature of LTE/LTE-A is the deployment of smaller cells (femto cells) in the vicinity of a large macro cells resulting in a dense network. As a result the data rate as well as capacity has increased in manifolds but the detrimental factor is the issue of interference between the various cells. Beamforming provides a solution in removing the issues of interference in dense networks. This paper focuses on the interference scenario in LTE dense networks and gives an overview of different beamforming methods that can provide a solution to the interference problem. Further, a review of several such methods so far proposed in available literature has been presented in this paper. Keywords:LTE/LTE-A, Dense Network, Interference,Beamforming

[1]  Goh Chin Hock,et al.  Artificial immune system assisted Minimum Variance Distortionless Response beamforming technique for adaptive antenna system , 2013, 2013 International Conference on ICT Convergence (ICTC).

[2]  Romano Fantacci,et al.  Beamforming for small cell deployment in LTE-advanced and beyond , 2014, IEEE Wireless Communications.

[3]  Jie Zhang,et al.  OFDMA femtocells: A roadmap on interference avoidance , 2009, IEEE Communications Magazine.

[4]  Dong In Kim,et al.  Interference management in OFDMA femtocell networks: issues and approaches , 2012, IEEE Wireless Communications.

[5]  Raungrong Suleesathira,et al.  Co-channel Interference Cancellation for Space-Time Coded OFDM Systems Using Adaptive Beamforming and Null Deepening , 2010, ArXiv.

[6]  M. A. Matin,et al.  Femtocell Suburban Deployment in LTE Networks , 2013 .

[7]  Gregori Vázquez,et al.  Robust beamforming for interference rejection in mobile communications , 1996, 1996 8th European Signal Processing Conference (EUSIPCO 1996).

[8]  Farokh Marvasti,et al.  CO CHANNEL INTERFERENCE CANCELLATION BY THE USE OF ITERATIVE DIGITAL BEAM FORMING METHOD , 2008 .

[9]  Robert W. Heath,et al.  Robust Beamforming and Power Control for Two-Tier Femtocell Networks , 2011, 2011 IEEE 73rd Vehicular Technology Conference (VTC Spring).

[10]  Romano Fantacci,et al.  Resource allocation schemes for cognitive LTE-A femto-cells using zero forcing beamforming and users selection , 2014, 2014 IEEE Global Communications Conference.

[11]  Inkyu Lee,et al.  Adaptive beamforming selection methods for inter-cell interference cancellation in multicell multiuser systems , 2013, 2013 IEEE International Conference on Communications (ICC).

[12]  Wei Yu,et al.  Large-scale MIMO versus network MIMO for multicell interference mitigation , 2014, 2014 IEEE 15th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC).

[13]  Kamran Arshad,et al.  Interference Management in Femtocells , 2013, IEEE Communications Surveys & Tutorials.

[14]  Romano Fantacci,et al.  Angular interference suppression in cognitive LTE-A femtocells , 2014, 2014 International Wireless Communications and Mobile Computing Conference (IWCMC).

[15]  Yoann Corre,et al.  3D coverage analysis of LTE urban heterogeneous networks with dense femtocell deployments , 2012, EURASIP J. Wirel. Commun. Netw..

[16]  Yu-Dong Yao,et al.  Outage Performance of Wireless Systems with LCMV Beamforming for Dominant Interferers Cancellation , 2007, 2007 IEEE International Conference on Communications.