Event-Based Beam Tracking With Dynamic Beamwidth Adaptation in Terahertz (THz) Communications

Karacora, Yasemin; Chaccour, Christina; Sezgin, Aydin; Saad, Walid

doi:10.1109/tcomm.2023.3296612

Cited by 11 publications

(3 citation statements)

References 44 publications

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“…9. Compared with traditional THz deterministic channel tracking study [21], [22], our proposed channel evolution model has a lower probability of link interruption under 5 degrees beamwidth given in reference [33] robust mode. In addition, our proposed DA channel variation has a smaller variance in both LoS and NLoS conditions, which is crucial for the following tracking.…”

Section: B Hybrid Channel Tracking Performance Analysismentioning

confidence: 97%

Hybrid Channel Tracking for THz Massive MIMO Communication Systems in Dynamic Environments

Fan,

Yang,

Sun

et al. 2024

Preprint

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With gigahertz-level bandwidth, terahertz (THz) holds promise for achieving exceptionally high transmission rates in prospective sixth-generation (6G) communications. However, considerable loss poses an obstacle to THz communication. To compensate for this, massive multiple-input-multiple-output (MIMO) based beamforming is utilized to promote directional power with narrow beams in communication. In dynamic environments, the frequent adjustment of narrow beams results in fast time-varying channel state information (CSI), which constrains the application of the THz communication systems. While traditional deterministic-based and statistical-based channel tracking methods address different aspects of this issue, they suffer from balancing accuracy and complexity in the THz dynamic environments. To solve this problem, based on the cluster distribution of THz time-varying channel, we propose a novel hybrid channel tracking method that uses deterministic physical motion variation law to extract the cluster subspace, and then statistical Markov evolution models are applied within it. To achieve this, an integrated clustering and estimation method, clustering subspace matching pursuit (CSMP) is proposed for obtaining the channel clusters prior. Then based on above hybrid tracking method design, we propose a virtual cluster subspace turbo-approximate message passing (VCS-TAMP). Finally, several simulation results validate that our proposal achieves great improvement in both accuracy and computational time performance.

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Section: B Hybrid Channel Tracking Performance Analysismentioning

confidence: 97%

Hybrid Channel Tracking for THz Massive MIMO Communication Systems in Dynamic Environments

Fan,

Yang,

Sun

et al. 2024

Preprint

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“…In order to reduce the overhead, some improved methods have been proposed for beam tracking. Instead of performing sounding at a fixed frequency, event-based tracking schemes were proposed to dynamically adjust the sounding interval [15,20,21]. Furthermore, the optimal beam angle was predicted based on the motion parameters estimated from previous observations [21], and dynamic beamwidth adjustment was employed to adapt to channel uncertainty [20,22], thereby reducing the frequency of sounding.…”

Section: Introductionmentioning

confidence: 99%

“…Instead of performing sounding at a fixed frequency, event-based tracking schemes were proposed to dynamically adjust the sounding interval [15,20,21]. Furthermore, the optimal beam angle was predicted based on the motion parameters estimated from previous observations [21], and dynamic beamwidth adjustment was employed to adapt to channel uncertainty [20,22], thereby reducing the frequency of sounding. However, the beamwidth adaption method requires sophisticated hardware to change the width of a beam in addition to the angle.…”

Section: Introductionmentioning

confidence: 99%

Rapid Beam Tracking Using Power Measurement for Terahertz Communications

He,

Zhang,

et al. 2024

Electronics

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With abundant bandwidth resources, terahertz communications are considered one of the key technologies to meet the requirement for high data-rate transmission in the future. In order to compensate for the severe propagation loss of terahertz communications, directional antennas with high gain and narrow beams are expected to be adopted, making beam tracking significant for robust communications. In this paper, a tracking method based on power measurement is proposed, consisting of beam status monitoring, recognition of the deviation direction, and movement toward the optimal angle. By observing the change in the received signal power, beam misalignment is first checked, and whether the misalignment is out of tracking range is also determined. Then, the deviation direction is recognized by comparing the received power variations in the candidate directions, and the beam angle is adjusted accordingly until it reaches the optimal angle. With a small scanning range, the deviation direction is recognized in a short duration, allowing for rapid beam tracking. Numerical results indicate that the alignment error is competitively low and stable in the proposed beam tracking method, and its technical superiority is particularly dominant in situations involving variable motion at high speeds.

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