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. 2023 Dec 20;24(1):33. doi: 10.3390/s24010033

Table 2.

Comparison of recent research works regarding IS on THz wireless communication channel modeling in terms of performance evaluation, system model, design objective, and optimization technique.

Reference Performance Evaluation System Model Design Objective Optimization Techniques
 [29] Path gain and capacity D–band indoor downlink Maximize signal reflection and restore LoS link between the transmitter and receiver blocked by obstacles Antenna theory
 [30] Adaptively selecting step size Indoor MIMO downlink Spectral efficiency with phase shift adjust Taylor expansion aided gradient descent
 [31] Path loss THz systems downlink Expression that determines the optimal phase shift Electromagnetic theory
 [32] Path loss MIMO Power gain and energy efficiency Beamforming
 [33] Beam pattern and quantization error mMIMO Channel estimation and transmission solutions with hybrid beamforming architectures Geometric channel model and IAP-SP for CSI acquisition.
 [34] NMSE Indoor MIMO systems Channel estimation Beam training
 [35] NMSE MIMO Channel estimation IAP-SP scheme
 [36] SNR feedback MISO downlink Minimization transmit power while maximizing the system achievable rate Beamforming optimization based on statistical CSI and genetic algorithms
 [37] Success rate and beamforming gain ratio mmWave/THz downlink Perfectly aligned transmitter-receiver channel Efficient beam training with cascade channel
 [38] Secrecy rate mmWave/THz systems Optimal discrete phase shifts to maximize the secrecy rate SDP-based method and the element-wise BCD method
 [39] Secrecy rate MISO downlink Secure operation with secrecy rate maximization Active beamformer and passive reflecting phase shifters
 [41] Path loss Not detailed Intensity for the electric field reflected by RISs in the short and long transmission distance regimes General scalar theory of diffraction and the Huygens-Fresnel principle
 [42] SNR Not detailed Improve the average receive SNR Beamforming
 [50] SNR, SNDR, small-scale amplitude fading, OP, and ergodic capacity THz system Exact PDF and CDF expressions of end-to-end SNR and SNDR of the system FTR distribution and multivariate Fox’s H-function
 [51] Path loss and beam pattern THz systems Beamfocusing Beamforming with physical optics channel model
 [52] Beam pattern THz massive MIMO systems (downlink and uplink) Beamforming design and channel estimation performance Beamforming with physical channel model
 [53] SNR, ergodic capacity and OP THz indoor systems downlink Receiver beam misalignment and restore the transmitter/receiver connection blocked by obstacles Electromagnetic theory
 [54] UAV trajectory, phase shift, THz band allocation and power control UAV systems downlink To maintain reliable THz communication and minimize average rate of users SCA
[129] Energy-efficient, SNR, latency and success rate 3-D indoor THz wireless communication Minimizes latency using ray tracing techniques to find the best THz signal propagation path Ray searching and beam-selecting
[130] Achievable rate, phase compensation and normalized array gain IS-aided THz system Achievable rate maximization for distributed IS-assisted THz communications Analog beamforming, digital beamforming vector
[131] Phase shifts, ergodic net throughput, blocking probability CF mMIMO Channel estimation and unblock links OP and fading spatial correlation with increased element numbers
[128] Misalignment fading THz inter-satellite links Compensation for the high path loss associated with high carrier frequencies and to improve SNR Antenna theory
[132] Coverage area and sum rate mmWave or THz indoor communication Placement optimization to maximize the long-term sum rate and then optimization of transmit beamforming and reflecting procedure in real time Antenna theory and deep learning
[133] BER and modulation speed Full-wave simulation Eliminate on-chip signal attenuation and inter-symbol interference Binary IS optimization algorithm