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Low RF-Complexity Technologies to Enable Millimeter-Wave MIMO with Large Antenna Array for 5G Wireless Communications (1607.04559v3)

Published 15 Jul 2016 in cs.IT and math.IT

Abstract: Millimeter-wave (mmWave) MIMO with large antenna array has attracted considerable interests from academic and industry communities, as it can provide larger bandwidth and higher spectrum efficiency. However, with hundreds of antennas, the number of radio frequency (RF) chains required by mmWave MIMO is also huge, leading to unaffordable hardware cost and power consumption in practice. In this paper, we investigate low RF-complexity technologies to solve this bottleneck. We first review the evolution of low RF-complexity technologies from microwave frequencies to mmWave frequencies. Then, we discuss two promising low RF-complexity technologies for mmWave MIMO systems in detail, i.e., phased array based hybrid precoding (PAHP) and lens array based hybrid precoding (LAHP), including their principles, advantages, challenges, and recent results. We compare the performance of these two technologies to draw some insights about how they can be deployed in practice. Finally, we conclude this paper and point out some future research directions in this area.

Citations (180)

Summary

  • The paper introduces innovative PAHP and LAHP methods that lower the number of RF chains and reduce power consumption in large-scale mmWave MIMO 5G systems.
  • It demonstrates through simulations that LAHP delivers comparable sum-rate performance with enhanced power efficiency and robustness to channel estimation errors as user count increases.
  • The hybrid precoding approach effectively balances between hardware complexity and digital precoding performance by exploiting the low-rank nature of mmWave channels.

Overview of Low RF-Complexity Technologies for Millimeter-Wave MIMO in 5G Wireless Communications

The paper "Low RF-Complexity Technologies to Enable Millimeter-Wave MIMO with Large Antenna Array for 5G Wireless Communications" addresses the critical challenge of implementing millimeter-wave multiple-input multiple-output (MIMO) systems with large antenna arrays, particularly in the context of 5G networks. Millimeter-wave frequencies promise significant advantages, such as higher bandwidth and improved spectral efficiency, but come with the complication of requiring several radio frequency (RF) chains—each contributing to increased hardware costs and power consumption. The authors propose and evaluate two promising low-complexity RF technologies: phased array based hybrid precoding (PAHP) and lens array based hybrid precoding (LAHP).

Phased Array Based Hybrid Precoding (PAHP)

PAHP attempts to strike a balance between the fully digital precoding's high performance and analog beamforming's hardware efficiency. It achieves this by employing fewer RF chains than antennas, using phase shifters to approximate the role of a full digital precoder. Two architectures, full-PAHP and sub-PAHP, are analyzed. Full-PAHP offers better performance but involves increased complexity due to a larger number of phase shifters, whereas sub-PAHP uses fewer phase shifters, reducing complexity at the cost of some performance loss.

The PAHP approach benefits from the ability to utilize the low-rank nature of millimeter-wave channels efficiently. However, challenges exist in optimizing the hybrid precoding design under hardware constraints and achieving accurate channel estimation, especially given the reduced number of RF chains.

Lens Array Based Hybrid Precoding (LAHP)

LAHP uses a lens array and selecting network to offer a cost-effective alternative to PAHP. The lens array mimics a spatial discrete Fourier transform (DFT), focusing energy from different directions onto corresponding antennas, effectively transforming spatial channels to beamspace channels. This enables the selection of only a subset of dominant beams for data transmission, reducing the number of required RF chains significantly.

From a hardware perspective, LAHP is advantageous as it avoids the power consumption associated with extensive phase shifter networks. The selection network in LAHP, especially when configured adaptively, further enhances performance by ensuring robust channel estimation and reducing pilot overhead.

Numerical Performance and Practical Implications

The paper presents a detailed comparison of PAHP and LAHP, referencing fully digital precoding as a benchmark. In simulations, LAHP shows comparable achievable sum-rate performance with less sensitivity to channel estimation errors, and significantly higher power efficiency than PAHP when the user count increases. Contrary to conventional beliefs about hybrid precoding, the power efficiency gains of LAHP over PAHP are more pronounced as the number of users scales, indicating a shift in the understanding of these technologies' practical advantages.

Future Directions and Considerations

To adequately address the challenges in large-scale implementation, particularly for broadband and time-varying millimeter-wave MIMO channels, further research is necessary. The current practices are primarily focused on narrowband and time-invariant scenarios. Adaptive and flexible solutions will be needed to handle dynamic wireless environments and maintain efficient operation without exorbitant power consumption or hardware costs.

Ultimately, the development of low-complexity RF technologies such as PAHP and LAHP contributes significantly to overcoming barriers in realizing efficient millimeter-wave MIMO systems for 5G communications, offering a path forward as the wireless industry evolves to meet ever-increasing data demands.