Wang, Y;
Chen, N;
Liu, F;
Li, A;
Zhou, J;
Masouros, C;
(2020)
Constant Envelope Precoding with Extended Degrees of Freedom through Per-user Symbol Scaling.
IEEE Communications Letters
10.1109/LCOMM.2020.3048716.
(In press).
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Abstract
In this letter, we propose a novel constant envelope precoding (CEP) design for multi-user multi-input single-output (MU-MISO) downlink, where we exploit the extra degrees of freedom (DoFs) by allowing individual rotation and scaling for each constellation point. By jointly optimizing the transmitting signal matrix and the complex scaling factors, the signal-to-interference-and-noise-ratio (SINR) at the receiver is maximized. The formulated optimization problem is divided into two sub-problems and solved by the alternating optimization approach. We further propose a simplified gradient descent algorithm and extend our algorithm to frame-level precoding design. Simulation results show that the proposed algorithms outperform the existing CEP algorithms in terms of both symbol error rate (SER) and computational complexity.
| Type: | Article |
|---|---|
| Title: | Constant Envelope Precoding with Extended Degrees of Freedom through Per-user Symbol Scaling |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/LCOMM.2020.3048716 |
| Publisher version: | https://doi.org/10.1109/LCOMM.2020.3048716 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Alternating optimization, Constant Envelope precoding, DinkelBach method, Gradient projection, Per-user scaling and rotating |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10123779 |
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