Outage probability analysis of multiple intelligent reflecting surface‐assisted single‐input single‐output system with switched diversity

Hindustani, Rahul Kumar; Dixit, Dharmendra; Sharma, Sanjeev

doi:10.1002/dac.5550

Cited by 6 publications

(4 citation statements)

References 36 publications

(73 reference statements)

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“…In [17], the authors have derived closed form approximations to the distribution of instantaneous SNR, which provides tighter bound of average SEP for the IRS-assisted system with arbitrary number of IRS elements. In [18], [19], outage probability is studied for a single input single output (SISO) system aided with IRS over Rician fading channels. An approximate expression for outage probability is derived using CLT and Laguerre series expansion in [18] whereas an asymptotic expression for outage probability is derived in [19], for multiple IRS scenario.…”

Section: Introductionmentioning

confidence: 99%

“…In [18], [19], outage probability is studied for a single input single output (SISO) system aided with IRS over Rician fading channels. An approximate expression for outage probability is derived using CLT and Laguerre series expansion in [18] whereas an asymptotic expression for outage probability is derived in [19], for multiple IRS scenario. The moment generating method is utilized in [20], to derive average bit error probability of IRS aided system under Hoyt fading.…”

Section: Introductionmentioning

confidence: 99%

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Approximate Composite Channel Statistics and Performance Analysis of IRS-Aided Wireless System Under Nakagami-m Fading

Ajayan,

Dash,

Ramkumar

2023

IEEE Access

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An intelligent reflecting surface (IRS) enhances the performance of a wireless channel by controlling the phase of signals reflected by them. This paper investigates an IRS-aided single input single output wireless communication system. Owing to the closely spaced placement of the IRS elements, the channels between the IRS and the transmitter, as well as the channels between the IRS and the receiver, are considered to be spatially correlated. Assuming optimal phase configuration at the IRS, correlated Nakagami-m random vectors are used to model the magnitude of the channel coefficient vectors between the IRS and the transmitter as well as between the IRS and the receiver. A statistical approximation of the distribution of composite channel is obtained as a Gamma distribution. The parameters of the approximated Gamma distribution are derived in terms of the scale parameter and spread parameter of Nakagami-m random vectors. The approximated Gamma distribution is validated using Monte-Carlo simulations and found to be closely following the actual distribution of the composite channel coefficient. Using the approximation, closed form expressions of the performance metrics such as symbol error probability (SEP), outage probability and average channel capacity are derived and validated.INDEX TERMS Average channel capacity, IRS, Nakagami-m fading, outage probability, SEP, spatial correlation.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Approximate Composite Channel Statistics and Performance Analysis of IRS-Aided Wireless System Under Nakagami-m Fading

Ajayan,

Dash,

Ramkumar

2023

IEEE Access

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“…Meanwhile, the utilization of multiple RISs can enhance communication systems by providing numerous paths for received signals, thereby amplifying the received signal strength. The outage probability in systems assisted by multiple RISs was scrutinized and optimized in [16]. In [17], the authors explored the use of multiple RISs to maximize the received power for downlink point-to-point millimeter-wave communications.…”

mentioning

confidence: 99%

“…By concurrently considering uplink and downlink, the weighted sum rate maximization problem for multi-RISassisted full-duplex systems was studied in [21]. However, the aforementioned works [16]- [21] presupposed that all RISs are operational, which is not energy-efficient since RISs also consume energy for signal controlling.…”

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confidence: 99%

Power Optimization in Satellite Communication Using Multi-Intelligent Reflecting Surfaces

Khalil

2023

Preprint

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<p>This study introduces two innovative methodologies aimed at augmenting energy efficiency in satellite-to-ground communication systems through the integration of multiple Reflective Intelligent Surfaces (RISs). The primary objective of these methodologies is to optimize overall energy efficiency under two distinct scenarios. In the first scenario, denoted as Ideal Environment (IE), we enhance energy efficiency by decomposing the problem into two sub-optimal tasks. The initial task concentrates on maximizing power reception by precisely adjusting the phase shift of each RIS element, followed by the implementation of Selective Diversity to identify the RIS element delivering maximal power. The second task entails minimizing power consumption, formulated as a binary linear programming problem, and addressed using the Binary Particle Swarm Optimization (BPSO) technique. The IE scenario presupposes an environment where signals propagate without any path loss, serving as a foundational benchmark for theoretical evaluations that elucidate the systems optimal capabilities. Conversely, the second scenario, termed Non-Ideal Environment (NIE), is designed for situations where signal transmission is subject to path loss. Within this framework, the Adam algorithm is utilized to optimize energy efficiency. This non ideal setting provides a pragmatic assessment of the systems capabilities under conventional operational conditions. Both scenarios emphasize the potential energy savings achievable by the satellite RIS system. Empirical simulations further corroborate the robustness and effectiveness of our approach, highlighting its potential to enhance energy efficiency in satellite-to-ground communication systems.</p>

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On the performance of multiple‐IRS aided wireless networks over Nakagami‐m$$ m $$ fading channels

Hindustani,

Dixit,

Sharma

2024

Int J Communication

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SummaryMultiple intelligent reflecting surfaces (IRS) in a wireless system are considered to enhance performance, efficiency, and flexibility in wireless networks. In this paper, we analyze outage probability (OP) for multiple IRS panels‐assisted wireless systems over Nakagami‐ fading channels. We focus on selecting the best IRS panel to maintain the quality of service and enhance the user experience. We derive two closed‐form OP expressions using the central limit theorem and Laguerre series expansion. Additionally, we develop a novel asymptotic OP expression and obtain a novel diversity order. The diversity order of the considered system model depends on the minimum fading parameter ( ) between the transmitter‐IRS panel and IRS panel‐receiver links and the number of IRS panels. We thoroughly investigate the impact of system parameters and validate our analytical results with simulations. Our findings emphasize that diversity order depends on the minimum fading parameter ( ) between the transmitter‐IRS panel and IRS panel‐receiver links, the number of IRS elements in each panel, and the number of IRS panels.

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Outage probability analysis of multiple intelligent reflecting surface‐assisted single‐input single‐output system with switched diversity

Cited by 6 publications

References 36 publications

Approximate Composite Channel Statistics and Performance Analysis of IRS-Aided Wireless System Under Nakagami-m Fading

Approximate Composite Channel Statistics and Performance Analysis of IRS-Aided Wireless System Under Nakagami-m Fading

Power Optimization in Satellite Communication Using Multi-Intelligent Reflecting Surfaces

On the performance of multiple‐IRS aided wireless networks over Nakagami‐m$$ m $$ fading channels

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