Interference Exploitation Precoding for Multi-Level Modulations: Closed-Form Solutions
- 16 October 2020
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Communications
- Vol. 69 (1) , 291-308
Abstract
We study closed-form interference-exploitation precoding for multi-level modulations in the downlink of multi-user multiple-input single-output (MU-MISO) systems. We consider two distinct cases: first, when the number of served users is not larger than the number of transmit antennas at the base station (BS), we mathematically derive the optimal precoding structure based on the Karush-Kuhn-Tucker (KKT) conditions. By formulating the dual problem, the precoding problem is transformed into a pre-scaling operation using quadratic programming (QP) optimization. We further consider the case where the number of served users is larger than the number of transmit antennas at the BS. By employing the pseudo inverse, we show that the optimal solution of the pre-scaling vector is equivalent to a linear combination of the right singular vectors corresponding to zero singular values, and derive the equivalent QP formulation. We also present the condition under which multiplexing more streams than the number of transmit antennas is achievable. For both considered scenarios, we propose a modified iterative algorithm to obtain the optimal precoding matrix, as well as a sub-optimal closed-form precoder. Numerical results validate our derivations on the optimal precoding structures for multi-level modulations, and demonstrate the superiority of interference-exploitation precoding for both scenarios.Keywords
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Funding Information
- Royal Academy of Engineering, UK
- Engineering and Physical Sciences Research Council (EP/M014150/1)
- Australian Research Council (DP150104019, DP190101988)
- ARC Laureate Fellowship (FL160100032)
- Key Science and Technology Program of Shaanxi Province (2019KW-007, 2020KW-007)
- Fundamental Research Funds for the Central Universities (1191320197)
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