Adaptive LSAS transmission for energy optimisation in low density cellular networks

This paper proposes an adaptive framework for optimising energy efficiency in large scale antenna systems (LSAS) by utilising knowledge about the users' requirement and properties in a novel discontinuous transmission (DTx) scheme. The users' requirement includes bit rate and latency while the users' properties include pathloss between the Macro basestation (MBS) and users, and information about the average received interference by each user. The proposed DTx divides the transmission into L scheduled transmissions (STs). In each ST, one or more users will be released from the overall scheduled transmission hence, leaving more spectrum for the remaining users that require longer transmission. It will be shown that the proposed scheme provides energy efficiency (EE) and Quality of Service (QoS) improvement for various number of users. This demonstrates that DTx based LSAS is an effective candidate for future cellular network for suburban and rural area.

[1]  Thomas L. Marzetta,et al.  Argos: practical many-antenna base stations , 2012, Mobicom '12.

[2]  Thomas L. Marzetta,et al.  Performance of Conjugate and Zero-Forcing Beamforming in Large-Scale Antenna Systems , 2013, IEEE Journal on Selected Areas in Communications.

[3]  T.L. Marzetta,et al.  How Much Training is Required for Multiuser Mimo? , 2006, 2006 Fortieth Asilomar Conference on Signals, Systems and Computers.

[4]  Mérouane Debbah,et al.  Massive MIMO in the UL/DL of Cellular Networks: How Many Antennas Do We Need? , 2013, IEEE Journal on Selected Areas in Communications.

[5]  Muhammad Ali Imran,et al.  Flexible power modeling of LTE base stations , 2012, 2012 IEEE Wireless Communications and Networking Conference (WCNC).

[6]  Michael Wilhelm,et al.  Energy Efficiency of LTE networks under traffic loads of 2020 , 2013, ISWCS.

[7]  Theodore S. Rappaport,et al.  Wireless Communications: Principles and Practice (2nd Edition) by , 2012 .

[8]  Erik G. Larsson,et al.  Energy and Spectral Efficiency of Very Large Multiuser MIMO Systems , 2011, IEEE Transactions on Communications.

[9]  Claude Desset,et al.  Towards a flexible and future-proof power model for cellular base stations , 2013 .

[10]  C. Dick,et al.  Real-Time QRD-Based Beamforming on an FPGA Platform , 2006, 2006 Fortieth Asilomar Conference on Signals, Systems and Computers.

[11]  Theodore S. Rappaport,et al.  Wireless communications - principles and practice , 1996 .

[12]  Erik G. Larsson,et al.  Scaling Up MIMO: Opportunities and Challenges with Very Large Arrays , 2012, IEEE Signal Process. Mag..