Decentralized Transmit Beamforming scheme for interference coordination in small cell networks

To cope with the growing demand of mobile data in hot spot areas of wireless networks, the use of massive small cell deployments with universal frequency reuse is essential. Such an aggressive reuse of spectral resources increases the level of co-channel interference, and calls for advanced multi-cell interference coordination techniques to capitalize cell densification gains. One option to address this problem is to use multiple antennas at the Base Stations (BSs), and implement Transmit Beamforming (TBF) to coordinate the interference generated to neighboring cells. A small cell BS should be low-cost by definition, and should be designed to serve typically a small number of Mobile Stations (MSs). Accordingly, we consider that each BS uses the same TBF vector to communicate with its associated MSs in the whole frequency band, and that the optimal TBF vector is determined utilizing a cooperative decentralized scheme. The proposed scheme seeks the maximization of a global utility function of the whole Small Cell Network (SCN), and relies solely on the exchange of low-rate signaling information among neighboring cells. As expected, the gain of the proposed cooperative TBF scheme increases as the number of MSs per cell decreases. A similar behavior is observed when the number of cooperative BSs per cell cluster grows. Thus, the proposed scheme seems to be applicable to SCNs with notable performance gains.

[1]  Wei Yu,et al.  Multi-Cell MIMO Cooperative Networks: A New Look at Interference , 2010, IEEE Journal on Selected Areas in Communications.

[2]  Olav Tirkkonen,et al.  On α-proportional fair packet scheduling in OFDMA downlink , 2012, 2012 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

[3]  Xiaodong Wang,et al.  Coordinated linear beamforming in downlink multi-cell wireless networks , 2008, IEEE Transactions on Wireless Communications.

[4]  3rd Generation Partnership Project; Technical Specification Group Radio Access Network; Evolved Universal Terrestrial Radio Access (e-utra); Further Advancements for E-utra Physical Layer Aspects (release 9) , 2022 .

[5]  Harald Haas,et al.  Busy Burst Enabled Coordinated Multipoint Network with Decentralized Control , 2011, IEEE Transactions on Wireless Communications.

[6]  Michael L. Honig,et al.  Distributed interference compensation for wireless networks , 2006, IEEE Journal on Selected Areas in Communications.

[7]  Jean C. Walrand,et al.  Fair end-to-end window-based congestion control , 2000, TNET.

[8]  Anass Benjebbour,et al.  Evolution concept and candidate technologies for future steps of LTE-A , 2012, 2012 IEEE International Conference on Communication Systems (ICCS).

[9]  Xiaodong Wang,et al.  Pricing-Based Distributed Downlink Beamforming in Multi-Cell OFDMA Networks , 2012, IEEE Journal on Selected Areas in Communications.

[10]  W. Utschick,et al.  Distributed resource allocation schemes , 2009, IEEE Signal Processing Magazine.

[11]  Olav Tirkkonen,et al.  Distributed algorithm for downlink resource allocation in multicarrier small cell networks , 2012, 2012 IEEE International Conference on Communications (ICC).

[12]  M Kobayashi,et al.  Green Small-Cell Networks , 2011, IEEE Vehicular Technology Magazine.

[13]  Wenjun Xu,et al.  A Beamforming Algorithm Based on Interference Pricing for the MISO Interference Channel , 2010, 2010 IEEE 72nd Vehicular Technology Conference - Fall.

[14]  Satoshi Nagata,et al.  Trends in small cell enhancements in LTE advanced , 2013, IEEE Communications Magazine.

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