Multiple Beamforming with Perfect Coding
Boyu Li, Ender Ayanoglu

TL;DR
This paper introduces two novel multiple beamforming techniques using perfect space-time codes and SVD, significantly reducing decoding complexity while maintaining near-optimal performance in MIMO systems.
Contribution
The paper proposes Perfect Coded Multiple Beamforming and BICMB-PC, novel methods that lower decoding complexity in MIMO systems with perfect coding and channel state information.
Findings
Decoding complexity is substantially reduced with the new techniques.
Performance loss is negligible or modest compared to existing methods.
Complexity gains are especially significant in dimensions 2 and 4.
Abstract
Perfect Space-Time Block Codes (PSTBCs) achieve full diversity, full rate, nonvanishing constant minimum determinant, uniform average transmitted energy per antenna, and good shaping. However, the high decoding complexity is a critical issue for practice. When the Channel State Information (CSI) is available at both the transmitter and the receiver, Singular Value Decomposition (SVD) is commonly applied for a Multiple-Input Multiple-Output (MIMO) system to enhance the throughput or the performance. In this paper, two novel techniques, Perfect Coded Multiple Beamforming (PCMB) and Bit-Interleaved Coded Multiple Beamforming with Perfect Coding (BICMB-PC), are proposed, employing both PSTBCs and SVD with and without channel coding, respectively. With CSI at the transmitter (CSIT), the decoding complexity of PCMB is substantially reduced compared to a MIMO system employing PSTBC, providing…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
