Optimizing the Deployment of Reconfigurable Intelligent Surfaces in MmWave Vehicular Systems

Xiao, Tian; Gonzalez-Prelcic, Nuria; Heath, Robert W.

doi:10.48550/arxiv.2205.15520

Cited by 2 publications

(3 citation statements)

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“…To meet the demands of 6G V2X communications, the possible transmission designs of RIS were presented in [23]. In [24] and [25], RIS placement problem was discussed to improve the link performance of V2X communications. [26] worked on spectrum sharing among V2V and V2I communications in RIS-enabled V2X networks to enhance the sum capacity of V2I links and assure the link reliability of V2V links.…”

Section: Related Workmentioning

confidence: 99%

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Performance Analysis of RIS-assisted 6G Vehicular Networks with NOMA under Diverse Channel Conditions

Shah,

Patel,

Thumar

et al. 2024

Preprint

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The evolution of vehicular networks towards sixth-generation (6G) applications necessitates meeting the stringent requirements of low latency, high spectrum efficiency, and ubiquitous connectivity. This paper proposes leveraging re-configurable intelligent surfaces (RISs) in tandem with non-orthogonal multiple access (NOMA) as a promising solution to address these demands. We investigate the performance of NOMA in RIS-assisted vehicular networks from both theoretical and practical perspectives under diverse channel conditions including line-of-sight (LOS) and non-line-of-sight (NLOS). Conventionally, the performance of vehicular networks has been evaluated by assuming that the channels between the BS, RIS, and vehicles are identically distributed, which is not realistic in practice. Therefore, this paper evaluates the outage probability , ergodic rate, and sum rate performance of RIS-enabled vehicular NOMA networks over independent but not identically distributed (i.n.i.d) Nakagami-m 1 fading channels. Analytical expressions for the cumulative distribution function of LOS and NLOS channels from the BS to the RIS and from the RIS to the vehicles are derived by taking into consideration the i.n.i.d channel characteristics. The obtained channel characteristics are then used to procure closed-form expressions for the outage probability and ergodic capacity as well as simplify the expressions of the outage probability and ergodic capacity for asymptotic analysis at a high signal-to-noise ratio. The presented analytical and simulation results demonstrate that incorporating RIS with a higher number of reflecting elements can significantly improve the outage and rate performance of vehicular networks.

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Section: Related Workmentioning

confidence: 99%

“…where f H bi (x) is the PDF of the composite channel H bi . From (25), the ergodic capacity of V A can be written as…”

Section: Ergodic Sum Ratementioning

confidence: 99%

Performance Analysis of RIS-assisted 6G Vehicular Networks with NOMA under Diverse Channel Conditions

Shah,

Patel,

Thumar

et al. 2024

Preprint

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“…Assumption 1 (perfect channel state information) [13]. We assume that the BS knows the perfect channel state information (CSI) for both BS-UE and BS-RIS-UE links.…”

Section: B Ris Propagation Modelmentioning

confidence: 99%

Reconfigurable Intelligent Surface Placement in 5G NR/6G: Optimization and Performance Analysis

Brancati

Chukhno

et al. 2022

2022 IEEE 33rd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

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The reconfigurable intelligent surface (RIS) adoption has drawn significant attention for the upcoming generation of cellular networks, i.e., 5G New Radio (NR)/6G, as a technology for forming virtual line-of-sight (LoS) links during human blockage or non-line-of-sight (NLoS) transmissions. However, the exploration of RIS placement under realistic conditions of multiple user operations has been limited by 1-2 user scenarios, but still is crucial since RIS deployment affects system performance. This paper addresses the challenge of optimal RIS deployment in 5G NR/6G cellular networks with directional antennas. Specifically, we formulate the RIS deployment problem as a facility location problem that maximizes the total data rate. We then evaluate and analyze the impact of various parameters on RIS-aided communications, such as RIS height, blockers density, number of users, and user distribution. The results confirm that the optimal RIS placement is near the BS for the case of uniform and cluster user distributions with RIS height of more than 5 m and close to the hotspots in the case of the cluster user distribution with RIS height of less than 5 m.

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Optimizing the Deployment of Reconfigurable Intelligent Surfaces in MmWave Vehicular Systems

Cited by 2 publications

References 0 publications

Performance Analysis of RIS-assisted 6G Vehicular Networks with NOMA under Diverse Channel Conditions

Performance Analysis of RIS-assisted 6G Vehicular Networks with NOMA under Diverse Channel Conditions

Reconfigurable Intelligent Surface Placement in 5G NR/6G: Optimization and Performance Analysis

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