Dynamic Subarrays for Hybrid Precoding in Wideband mmWave MIMO Systems
Sungwoo Park, Ahmed Alkhateeb, and Robert W. Heath Jr

TL;DR
This paper introduces a dynamic subarray hybrid precoding method for wideband mmWave MIMO systems, achieving near fully-digital spectral efficiency and outperforming fixed structures by adapting to long-term channel characteristics.
Contribution
It develops a closed-form hybrid precoding solution for wideband mmWave systems and proposes a dynamic subarray design that adapts to channel conditions, improving performance.
Findings
Achieves spectral efficiency close to fully-digital architectures.
Dynamic subarray design outperforms fixed structures.
Effective in various system and channel conditions.
Abstract
Hybrid analog/digital precoding architectures can address the trade-off between achievable spectral efficiency and power consumption in large-scale MIMO systems. This makes it a promising candidate for millimeter wave systems, which require deploying large antenna arrays at both the transmitter and receiver to guarantee sufficient received signal power. Most prior work on hybrid precoding focused on narrowband channels and assumed fully-connected hybrid architectures. MmWave systems, though, are expected to be wideband with frequency selectivity. In this paper, a closed-form solution for fully-connected OFDM-based hybrid analog/digital precoding is developed for frequency selective mmWave systems. This solution is then extended to partially-connected but fixed architectures in which each RF chain is connected to a specific subset of the antennas. The derived solutions give insights into…
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.
Taxonomy
TopicsMicrowave Engineering and Waveguides · Millimeter-Wave Propagation and Modeling · Advanced MIMO Systems Optimization
