Per-Antenna Constant Envelope Precoding for Large Multi-User MIMO Systems

By Saif Khan Mohammed, Erik G. Larsson. IEEE Transactions on Communications, 2012

366 citations recorded by the source corpus.

We consider the multi-user MIMO broadcast channel with M single-antenna users and N transmit antennas under the constraint that each antenna emits signals having constant envelope (CE). The motivation for this is that CE signals facilitate the use of power-efficient RF power amplifiers. Analytical and numerical results show that, under certain mild conditions on the channel gains, for a fixed M, an array gain is achievable even under the stringent per-antenna CE constraint. Essentially, for a fixed M, at sufficiently large N the total transmitted power can be reduced with increasing N while maintaining a fixed information rate to each user. Simulations for the i.i.d. Rayleigh fading channel show that the total transmit power can be reduced linearly with increasing N (i.e., an O(N) array gain). We also propose a precoding scheme which finds near-optimal CE signals to be transmitted, and has O(MN) complexity. Also, in terms of the total transmit power required to achieve a fixed desired information sum-rate, despite the stringent per-antenna CE constraint, the proposed CE precoding scheme performs close to the sum-capacity achieving scheme for an average-only total transmit power constrained channel.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/170f1725ff4b21b9820be2521155570219074d23

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

Spatial Modulation for Generalized MIMO: Challenges, Opportunities, and Implementation (2014, background): “The beneficial impact of using constant-envelope modulation is a topic of current research interest in the context of large-scale MIMO design aiming at reducing the implementation complexity and at improving the EE [194], [195].”
Massive MIMO for next generation wireless systems (2013, methodology): “In particular, each antenna can transmit signals with very small peak-to-average ratio [9] or even constant envelope [10] at a very modest penalty in terms of increased total radiated power.”
Integrated Sensing and Communications: Toward Dual-Functional Wireless Networks for 6G and Beyond (2021, background): “The received signal at the users can be modeled as [55], [152]”
Toward Dual-functional Radar-Communication Systems: Optimal Waveform Design (2017, methodology): “It has been proven in [32] that the MUI energy in (3) directly affects the achievable sum-rate of the downlink users.”
Quantized Precoding for Massive MU-MIMO (2016, background): “Constant-envelope precoding, which minimizes the PAR by transmitting constantmodulus signals only, was studied in [33], [34].”
Satellite Communications in the New Space Era: A Survey and Future Challenges (2020, background): “In this context, various precoding schemes have been proposed in the literature [120], [125]–[127], with the aim to enhance the dynamic properties of the transmitted signals, such as the peak-to-average power ratio (PAPR), and therefore, to improve the signal robustness to non-linear effects.”
An Overview of Massive MIMO: Benefits and Challenges (2014, methodology): “A precoding method based on perantenna constant envelope constraints is developed to reduce the PAPR of the transmit signal in [51], [52].”
Massive MIMO: An Introduction (2015, neutral): “Signal processing algorithms and modulation formats are attracting much attention [31–36].”