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![Fig. 1 RIS assisted Het-Net system[11].](profile/Murtadha-Shukur/publication/383238569/figure/fig1/AS:11431281272480342@1724132257096/RIS-assisted-Het-Net-system11_Q320.jpg)
![Fig. 5 IRS Application[19].](profile/Murtadha-Shukur/publication/383238569/figure/fig3/AS:11431281272535480@1724132257633/RS-Application19_Q320.jpg)
Intelligent reflecting surfaces (IRSs) have emerged as a revolutionary wireless networking paradigm for dynamically controlling propagation environments. This paper provides a comprehensive investigation of IRS-assisted interference mitigation for mmWave MIMO communication systems. A practical 3D clustered statistical spatial channel model is adopt...
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Context 1
... scattering to improve wireless connectivity. transmit/receive beamforming or optimized IRS reflection coefficients will provide further gains. Thereby, IRS exploitation results in cleaner channel impulse responses and constructive self-interference from additional paths to enhance end-to-end communication relative to the direct link baseline. Fig. 9 and Fig.10 Presents the excessive channel gain and direct & IRS Assisted Channel from beamforming permits shifting more sign strength which allows conquer ambient noise and interference. This manifests mathematically because the signal-to-interferenceand-noise (SINR) metric at receiver entry is at once proportional to the channel gain. ...
Citations
... The integrating of IRS with NOMA has sparked numerous research initiatives focused on maximizing spectral efficiency, energy efficiency, and system reliability. Ensuring the optimization of IRS reflection patterns for superimposed NOMA signals is essential in achieving the desired network performance [2]. Studies have explored joint optimization schemes involving IRS reflection and energy distribution in downlink scenarios with either single-antenna or multiantenna BS. ...
The paper explores the joint optimization of beamforming and phase shifts in Intelligent Reflecting Surface (IRS)-aided Non-Orthogonal Multiple Access (NOMA) systems within the context of 6G networks. We propose a novel algorithm that optimizes the beamforming vectors at the base station (BS) and the phase shifts at the IRS to maximize the sum rate of the system. Our approach leverages alternating optimization and successive convex approximation methods to tackle the non-convex nature of the problem. Extensive simulations demonstrate that the proposed method significantly exceed conventional schemes, achieving up to 30% improvement in spectral efficiency. These results underline the potential of IRS-NOMA integration in the fulfillment of ambitious 6G performance targets. The conclusions of this study contribute to the development of More efficient and reliable wireless communication systems that prepare a journey for the next generation of mobile networks.
... There work is supported by researchers in Ref. [41], where they used SINR and BER as the main factors to characterize intelligent reflecting surfaces and their effect on interference. The authors investigated through simulation the interference problem. ...
... The work in Ref. [40], also showed an increase in throughput and better SINR. Other works [41], used 100 IRS elements with maximum power of 30 dBm, which also compares well with the values obtained in this work. BER of maximum of 0.5 is observed in the work carried out by Liu et al. [50], which is higher than the values obtained in this work of 0.09. ...
It has been determined that Intelligent Reflecting Surfaces (IRS) are a revolutionary technology that can create a smart, optimizable environment for wireless communication. This work examines an adaptive IRS-assisted communication system that uses multi-hop signal reflection to help a Base Station (BS) communication. A multi-hop cascaded Line-of-Sight (LOS) link between the Base Station (BS) and the user is created by employing LOS link between neighboring IRSs. A group of IRSs are chosen to reflect the BS's signal in turn, increasing the received signal strength at the user. The work presents a closed-form solutions for the best active and cooperative passive beamforming at the BS and particular IRSs, respectively, in order to improve channel communication. Bit Error Rate (BER) and Signal to Interference Plus Noise Ratio (SINR) is calculated considering different number of IRSs and base stations. This, should uncover a key issue between minimizing the multi-reflection path loss and maximizing the multiplicative passive beamforming gain in the ideal beam routing design. The obtained results through simulation, showed an increase in SINR and reduction in BER as a function of increasing transmitter power, reflection coefficient, and number of intelligent reflecting surfaces. Mathematical models are also established relating transmitter power to both reflection coefficient and number of reflecting surfaces.
