Advancements in Terahertz Communication Technology
Exploring hybrid beamforming with widely-spaced arrays for improved THz communication.
― 4 min read
Table of Contents
- The Need for Hybrid Beamforming
- Hybrid Beamforming with Widely-Spaced Arrays
- The Advantages of Widely-Spaced Arrays
- The Role of Channel Models
- Optimizing the System Performance
- Algorithms for Beamforming
- Performance Evaluation of the Proposed Solutions
- 2D and 3D Analysis of Communication Scenarios
- User Distribution Considerations
- Comparing Computational Complexity
- Conclusion
- Original Source
Terahertz (THz) communication is an emerging technology that is gaining attention as we move towards faster wireless networks, particularly in the sixth generation (6G) and beyond. This technology offers an extensive bandwidth, enabling high-speed data transmission. However, there are challenges in transmitting signals over longer distances due to significant signal loss at such high frequencies.
Hybrid Beamforming
The Need forTraditional methods of communication often use compact antenna arrays, which work well for long-distance communication in the far field. However, when many users are in close proximity and at similar angles, these methods struggle to differentiate between them. To address this, a new approach called hybrid beamforming is being explored. This method uses a combination of both analog and digital signal processing to optimize performance while reducing hardware complexity.
Hybrid Beamforming with Widely-Spaced Arrays
One of the recent innovations in hybrid beamforming is the use of widely-spaced arrays. This involves arranging antennas far apart, which allows the system to cover a more extensive area and better resolve signals from nearby users. The concept of cross-near-and-far-field (CNFF) communication is introduced, which helps manage both close and distant signals simultaneously.
The Advantages of Widely-Spaced Arrays
Widely-spaced arrays offer significant benefits over compact arrays. By expanding the near-field region, these arrays can distinguish users who are at the same angle but at different distances. This extra resolution can lead to a notable improvement in Spectral Efficiency (SE), which measures how effectively the available bandwidth is used.
Channel Models
The Role ofTo effectively utilize widely-spaced arrays, it's essential to understand the channel model, which describes how signals travel from the transmitter to the receiver. This model takes into account both near-field and far-field characteristics, which is crucial for accurately predicting performance in multi-user environments.
Optimizing the System Performance
To maximize the effectiveness of hybrid beamforming with widely-spaced arrays, several factors must be optimized, including the number of subarrays and the spacing between them. Research has shown that increasing the spacing can enhance the overall capacity of the communication channel.
Algorithms for Beamforming
Two primary algorithms are proposed for optimizing beamforming: the alternating optimization (AO) algorithm for sub-connected systems and a low-complexity steering vector reconstruction (SVR) algorithm for fully-connected systems. Both methods aim to improve signal quality and reduce power consumption while maintaining performance.
Performance Evaluation of the Proposed Solutions
Simulation studies demonstrate that the widely-spaced array configuration can significantly outperform traditional compact arrays, particularly in crowded environments. In cases where users are situated at the same angle, the improvement in SE can be substantial. As the number of antennas increases, the performance gap between the two systems narrows, but the widely-spaced arrays still maintain an advantage in handling close users.
2D and 3D Analysis of Communication Scenarios
In practical scenarios, communication can take place in two dimensions (2D) or three dimensions (3D). The performance of the widely-spaced arrays is evaluated in both situations. In 2D, the arrays show superior performance when users are at similar angles. In 3D scenarios, they also perform well as the communication distance increases, demonstrating their ability to focus signals effectively.
User Distribution Considerations
The arrangement of users affects performance. When users are closely packed, traditional compact arrays often struggle, while widely-spaced arrays can maintain higher levels of SE. As more users enter the system, the advantages of widely-spaced arrays become more pronounced.
Comparing Computational Complexity
When evaluating the complexity of different algorithms, the SVR algorithm stands out for its efficiency. It offers quick calculations without relying heavily on complex operations like singular value decomposition. This characteristic makes it an attractive option for practical implementations, especially in fully-connected systems.
Conclusion
The exploration of hybrid beamforming with widely-spaced arrays represents a significant advancement in THz communication. These systems are better equipped to handle crowded, high-demand environments while maintaining efficient use of bandwidth. As 6G and future wireless networks emerge, these developments will be critical in ensuring reliable, high-speed communication for a growing number of users.
By refining the designs and algorithms behind these systems, we can look forward to a future where seamless connectivity becomes the norm, enhancing both personal communication and the infrastructure of modern society. The combination of effective array design and advanced signal processing techniques will pave the way for robust, high-capacity communication systems suitable for the demands of tomorrow’s technology.
Title: Hybrid Beamforming with Widely-spaced-array for Multi-user Cross-Near-and-Far-Field Communications
Abstract: With multi-GHz bandwidth, Terahertz (THz) beamforming has drawn increasing attention in the sixth generation (6G) and beyond communications. Existing beamforming designs mainly focus on a compact antenna array where typical communication occurs in the far-field. However, in dense multi-user scenarios, only relying on far-field angle domain fails to distinguish users at similar angles. Therefore, a multi-user widely-spaced array (MU-WSA) is exploited in this paper, which enlarges the near-field region to introduce the additional distance domain, leading to a new paradigm of cross-near-and-far-field (CNFF) communication. Under this paradigm, the CNFF channel model is investigated, based on which the subarray spacing $d_s$ and the number of subarrays $K$ in MU-WSA are optimized to maximize the channel capacity. Then, in sub-connected systems, an alternating optimization (AO) beamforming algorithm is proposed to deal with the special block-diagonal format of the analog precoder. For fully-connected systems, a low-complexity steering-vector reconstruction (SVR)-based algorithm is proposed by constructing specialized steering vectors of MU-WSA. Numerical evaluations show that due to distance domain resolutions, the MU-WSA can improve the SE by over $60$% at a power of $20$dBm compared to the compact array. Additionally, the proposed AO algorithm in the SC system can achieve over 80% of the sum (SE) of the FC system while reducing the number of phase shifters by $K^2$, thereby lowering power consumption. The SVR algorithm in the FC system can achieve over 95% of the upper bound of SE but takes only 10% of the running time of the singular vector decomposition (SVD)-based algorithms.
Authors: Heyin Shen, Yuhang Chen, Chong Han, Jinhong Yuan
Last Update: 2024-09-06 00:00:00
Language: English
Source URL: https://arxiv.org/abs/2409.04682
Source PDF: https://arxiv.org/pdf/2409.04682
Licence: https://creativecommons.org/licenses/by/4.0/
Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.
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