Indoor and Outdoor Physical Channel Modeling and Efficient Positioning for Reconfigurable Intelligent Surfaces in mmWave Bands

Başar, Ertuğrul; Yildirim, Ibrahim

doi:10.48550/arxiv.2006.02240

Cited by 19 publications

(23 citation statements)

References 25 publications

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“…The RIS-aided communication is simulated using the "Sim-RIS" channel simulator [9]. Therein, an indoor environment with the Tx located at the coordinate 2 (0, 35, 1) using the 28 GHz carrier frequency.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…Let h = [h k ] k∈K and g = [g k ] k∈K be the channel vectors of the incident (Tx-RIS) and reflected (RIS-Rx) signals defined over the reflective elements K in the RIS. The channel model is based on the work in [9], in which, the link between Tx and RIS is composed of LOS channels as well as NLOS channels due to the presence of scatterers, while the RIS-Rx link has LOS connectivity due to their close proximity. Let d o , φ o , and θ o be the distance, azimuth angle, and elevation angle of an object o ∈ {Tx, Rx} ∪ S with respect to the RIS.…”

Section: A Channel Modelmentioning

confidence: 99%

“…where G(•), L(•), and a(•) are the RIS element radiation pattern, distance-dependent path loss, and array response, respectively [9]. Similar to (1), the LOS component of the channel between RIS and Tx is modeled by,…”

Section: A Channel Modelmentioning

confidence: 99%

“…as defined in the fifth generation (5G) channel model [9]. The NLOS links between the Tx and RIS are due to the presence of scatterers.…”

Section: A Channel Modelmentioning

confidence: 99%

See 3 more Smart Citations

Robust Reconfigurable Intelligent Surfaces via Invariant Risk and Causal Representations

Samarakoon¹,

Park²,

Bennis³

2021

Preprint

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In this paper, the problem of robust reconfigurable intelligent surface (RIS) system design under changes in data distributions is investigated. Using the notion of invariant risk minimization (IRM), an invariant causal representation across multiple environments is used such that the predictor is simultaneously optimal for each environment. A neural network-based solution is adopted to seek the predictor and its performance is validated via simulations against an empirical risk minimizationbased design. Results show that leveraging invariance yields more robustness against unseen and out-of-distribution testing environments.

show abstract

Section: Simulation Resultsmentioning

confidence: 99%

Section: A Channel Modelmentioning

confidence: 99%

Section: A Channel Modelmentioning

confidence: 99%

“…as defined in the fifth generation (5G) channel model [9]. The NLOS links between the Tx and RIS are due to the presence of scatterers.…”

Section: A Channel Modelmentioning

confidence: 99%

See 2 more Smart Citations

Robust Reconfigurable Intelligent Surfaces via Invariant Risk and Causal Representations

Samarakoon¹,

Park²,

Bennis³

2021

Preprint

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“…Our performance evaluation is based on a state-of-the-art simulator for RIS-assisted communication, i.e., SimRIS [11],…”

Section: Simris Simulator and Enhancementsmentioning

confidence: 99%

System Performance Insights into Design of RIS-assisted Smart Radio Environments for 6G

Toumi

Aijaz

2021

2021 IEEE Wireless Communications and Networking Conference (WCNC)

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In state-of-the-art wireless networks, the radio environment is beyond the control of the operators which leads to several issues. For example, signal attenuation limits radio connectivity, multi-path propagation results in fading phenomena and reflections/refractions from large objects are the main sources of uncontrollable interference. To overcome these issues, a new technology referred to as reconfigurable intelligent surfaces (RISs) has been brought to light. RISs, whose interactions with the electromagnetic waves are reconfigurable, are at the heart of the smart radio environments for beyond 5G (or 6G) wireless systems. Research on design of smart radio environments is still in infancy. To this end, this paper provides performance insights for design of RIS-assisted smart radio environments. By extending a recent system-level simulator and through extensive simulations, it investigates the impact of positioning/placement of RISs, the number of reflecting elements and the tilt/rotation of RISs in both single and multi-RIS environments. Results reveal that these aspects are crucial to achieving capacity and reliability enhancements in smart radio environments.

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Hybrid automatic repeat request‐based intelligent reflecting surface‐assisted communication system

Mohamed

Kong

et al. 2021

Electronics Letters

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The intelligent reflecting surface (IRS) is an emerging technique to extend wireless coverage. In this letter, the performance of the hybrid automatic repeat request (hybrid ARQ) for an IRS-assisted system is analysed. More specifically, the outage performance of the IRS-aided system using hybrid ARQ protocol with chase combining is studied. The asymptotic analysis also shows that the outage performance is better and improves linearly by increasing the number of reflectors of the IRS-aided system. The results also verify the potential of combining the ARQ scheme in the link layer of the IRS-aided system and demonstrate that a very small change of path loss condition can impact the performance largely.

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Indoor and Outdoor Physical Channel Modeling and Efficient Positioning for Reconfigurable Intelligent Surfaces in mmWave Bands

Cited by 19 publications

References 25 publications

Robust Reconfigurable Intelligent Surfaces via Invariant Risk and Causal Representations

Robust Reconfigurable Intelligent Surfaces via Invariant Risk and Causal Representations

System Performance Insights into Design of RIS-assisted Smart Radio Environments for 6G

Hybrid automatic repeat request‐based intelligent reflecting surface‐assisted communication system

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