Abstract
This paper considers hybrid beamforming consisting of analog beamforming (ABF) coupled with digital baseband beamforming (DBF) which is designed for multi-user (MU) multiple input multiple output (MIMO) millimeter-wave (mmWave) communications. ABF uses a limited number of radio frequency (RF) chains and finite-resolution phase-shifters to alleviate the power consumption at the base station (BS), while DBF uses either zero-forcing beamforming (ZFB) or regularized zero forcing beamforming (RZFB) to restrain MU interference. The joint design of ABF and DBF constitutes a computationally challenging mixed discrete continuous optimization problem. The paper develops efficient algorithms for its solution, which iterate scalable-complex expressions. Furthermore, we conceive a new class of MU RZFB for attaining higher rates. Simulations are provided to demonstrate the viability of the proposed algorithms and the advantages of the conceived RZFB.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1 |
| Number of pages | 1 |
| Journal | IEEE Transactions on Wireless Communications |
| DOIs | |
| State | Accepted/In press - 2022 |
All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Electrical and Electronic Engineering
- Applied Mathematics
Keywords
- Array signal processing
- Baseband
- Brunn-Minkowski geometry
- MIMO communication
- Millimeter wave communication
- Multi-user multiple-input-multiple-output millimeter-wave communications
- Optimization
- Radio frequency
- Transmission line matrix methods
- analog beamforming with b-bit resolution
- hybrid beamforming
- mixed discrete continuous optimization
- regularized zero-forcing beamforming
- scalable complexity
- zero-forcing beamforming