Downlink MIMO HCNs With Residual Transceiver Hardware Impairments

A major limitation of heterogeneous cellular networks (HCNs) is the neglect of the additive residual transceiver hardware impairments (ARTHIs). The assumption of perfect hardware is quite strong and results in misleading conclusions. This letter models a general multiple-input multiple-output HCN with cell association by incorporating the RTHIs. We derive the coverage probability and shed light on the impact of the ARTHIs, when various transmission methods are applied. As the hardware quality decreases, the coverage probability worsens. Especially, this effect is more severe as the transmit power increases. Furthermore, we verify that in an HCN, it is better to employ at each base station as few transmit antennas as possible.

[1]  Sonia Aïssa,et al.  On the Power Amplifier Nonlinearity in MIMO Transmit Beamforming Systems , 2012, IEEE Transactions on Communications.

[2]  Sivarama Venkatesan,et al.  MIMO Communication for Cellular Networks , 2011 .

[3]  Emil Björnson,et al.  Massive MIMO Systems With Non-Ideal Hardware: Energy Efficiency, Estimation, and Capacity Limits , 2013, IEEE Transactions on Information Theory.

[4]  Emil Björnson,et al.  Capacity Limits and Multiplexing Gains of MIMO Channels with Transceiver Impairments , 2012, IEEE Communications Letters.

[5]  Jeffrey G. Andrews,et al.  Downlink MIMO HetNets: Modeling, Ordering Results and Performance Analysis , 2013, IEEE Transactions on Wireless Communications.

[6]  Jeffrey G. Andrews,et al.  A Tractable Approach to Coverage and Rate in Cellular Networks , 2010, IEEE Transactions on Communications.

[7]  Emil Björnson,et al.  Massive MIMO with Non-Ideal Arbitrary Arrays: Hardware Scaling Laws and Circuit-Aware Design , 2014, IEEE Transactions on Wireless Communications.

[8]  Jpmg Jean-Paul Linnartz,et al.  Foreword in "RF imperfections in high-rate wireless systems: impact and digital compensation" , 2008 .

[9]  Nihar Jindal MIMO broadcast channels with finite rate feedback , 2005, GLOBECOM.

[10]  Andreas Peter Burg,et al.  MIMO transmission with residual transmit-RF impairments , 2010, 2010 International ITG Workshop on Smart Antennas (WSA).

[11]  Symeon Chatzinotas,et al.  Impact of Transceiver Impairments on the Capacity of Dual-Hop Relay Massive MIMO Systems , 2015, 2015 IEEE Globecom Workshops (GC Wkshps).

[12]  D. Stoyan,et al.  Stochastic Geometry and Its Applications , 1989 .

[13]  Tim Schenk,et al.  RF Imperfections in High-rate Wireless Systems: Impact and Digital Compensation , 2008 .

[14]  Tim Schenk,et al.  RF Imperfections in High-rate Wireless Systems , 2008 .

[15]  Anastasios K. Papazafeiropoulos Impact of General Channel Aging Conditions on the Downlink Performance of Massive MIMO , 2016, IEEE Transactions on Vehicular Technology.

[16]  Jeffrey G. Andrews,et al.  Downlink SDMA with Limited Feedback in Interference-Limited Wireless Networks , 2011, IEEE Transactions on Wireless Communications.

[17]  Antti Toskala,et al.  LTE for UMTS: Evolution to LTE-Advanced , 2011 .

[18]  Symeon Chatzinotas,et al.  MMSE filtering performance of DH-AF massive MIMO relay systems with residual transceiver impairments , 2016, 2016 IEEE International Conference on Communications Workshops (ICC).

[19]  I. S. Gradshteyn,et al.  Table of Integrals, Series, and Products , 1976 .

[20]  Taoka Hidekazu,et al.  Scenarios for 5G mobile and wireless communications: the vision of the METIS project , 2014, IEEE Communications Magazine.