Aerial Intelligent Reflecting Surfaces in MIMO-NOMA Networks: Fundamentals, Potential Achievements, and Challenges

Lima, Brena; Sena, Arthur Sousa de; Dinis, Rui; Costa, Daniel Benevides da; Beko, Marko; Oliveira, Rodolfo; Debbah, Mérouane

doi:10.1109/ojcoms.2022.3182223

Cited by 23 publications

(26 citation statements)

References 72 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…On both the transmitter and receiver sides of MIMO, several antennas are utilized. MIMO is crucial in 5G wireless communication because it enhances QoS, provides high data rates, decreases multipath fading problems, expands the service area, and reduces the probability of outages [21]. Interference between users, across clusters, and within users are the key issues caused by the matrix shape of channels in MIMO that need to be handled.…”

Section: Multiple Input Multiple Output (Mimo)mentioning

confidence: 99%

Outage Probability and Ergodic Capacity Analysis of MIMO-NOMA Heterogeneous Network for 5G System

Rehman¹,

Jafarian²,

Manzar³

et al. 2022

JISR-C

View full text Add to dashboard Cite

Based on the orthogonal multiple access (OMA) paradigm, multiple access techniques are now used in wireless networks. The capacity of OMA for orthogonal resources, which is already constrained, will be exceeded in the coming years by the demand for a significant number of users and efficient spectrum usage. Non-orthogonal multiple access (NOMA) is being considered for the next 5G and beyond releases. NOMA can offer high connection, low latency, and excellent spectral efficiency because several users can be handled in the same resource block at once. This work presents a thorough literature evaluation of the MIMO-NOMA and identifies several research gaps. Additionally, using Monte Carlo simulations, For the MIMO-NOMA heterogeneous network, simulation was performed to analyze the outage probability and ergodic capacity. The MIMO-NOMA HetNets system's performance is further evaluated using various SNR levels, number of clusters, user counts per cluster, and antenna count ratios.

show abstract

Section: Multiple Input Multiple Output (Mimo)mentioning

confidence: 99%

Outage Probability and Ergodic Capacity Analysis of MIMO-NOMA Heterogeneous Network for 5G System

Rehman¹,

Jafarian²,

Manzar³

et al. 2022

JISR-C

View full text Add to dashboard Cite

show abstract

“…4,5 On the other hand, besides ground intelligent reflecting surface (IRS), aerial intelligent reflecting surface (AIRS) represents a groundbreaking advancement in wireless communication technology. 6,7 These innovative systems involve the deployment of IRS in the airspace above, allowing for dynamic control and manipulation of radio waves. AIRS technology employs unmanned aerial vehicles (UAVs) or drones equipped with specialized reflective panels or metamaterials.…”

Section: Introductionmentioning

confidence: 99%

“…AIRS technology employs unmanned aerial vehicles (UAVs) or drones equipped with specialized reflective panels or metamaterials. 7,8 By adjusting the orientation and properties of these reflective elements in real-time, AIRS can optimize signal strength, reduce interference, and enhance the overall efficiency of wireless networks. 7,9 This revolutionary approach has the potential to transform various industries, including telecommunications, by enabling faster data transmission, improved coverage in challenging environments, and enhanced connectivity in smart cities.…”

Section: Introductionmentioning

confidence: 99%

Aerial intelligent reflecting surface for improving the secrecy performance of wireless systems with hardware impairments

Van Vinh

2024

Int J Communication

View full text Add to dashboard Cite

SummaryIt has been confirmed that the aerial intelligent reflecting surface (AIRS) can dramatically improve the coverage and quality of service of wireless communication systems. This paper proposes to exploit an AIRS to enhance the physical layer security (PLS) of wireless communication systems. In particular, the AIRS flies at convenient positions for enhancing legitimate channel gain and reducing eavesdropping channel gain. Moreover, the worst‐case security is determined where the legitimate user is affected by hardware impairments (HIs) while the eavesdropper hardware is ideal (ID). The analytical expression of secrecy outage probability (SOP) of the considered systems (referred to as the AIRS‐HI systems) is derived over realistic Nakagami‐ channels recommended for application in the fifth and beyond generations (5G & B5G). To clarify the behaviors of the considered systems, the asymptotic expressions of signal‐to‐distortion‐plus‐noise ratio (SDNR) at the legitimate user, signal‐to‐noise ratio (SNR) at the eavesdropper, and SOP are also provided. Monte‐Carlo simulations are employed to confirm the accuracy of the derived theorem. Numerical results confirm that the SOP of the AIRS‐HI systems is dramatically higher than the SOP of the AIRS‐ID systems. In other words, a strong effect of HIs on the SOP of the AIRS‐HI systems is clearly indicated. Consequently, utilizing the high transmit power is not an effective solution to improve the secrecy performance of the AIRS‐HI systems. In contrast, it is essential to employ an appropriate transmit power tailored to the specific system parameters. Furthermore, the considerable advantages of incorporating AIRS are demonstrated through a comparison between the SOPs of AIRS‐HI systems and HI systems lacking AIRS. Additionally, a comprehensive examination of AIRS‐HI system behaviors is conducted by varying various system parameters, including the predefined secrecy rate, HI level, the number of reflecting elements (REs) in AIRS, WiFi network frequency, AIRS altitude, bandwidth, and channel fading order. These observations lead to the identification of numerous recommended solutions for enhancing the SOP performance of the considered AIRS‐HI systems.

show abstract

“…NOMA can also be combined with other wireless communication technologies, such as IRS, to actively manage the wireless communication environment to improve the reception reliability at a minimal cost [8]. As such, these two enabling technologies are complementary to each other, in the sense that NOMA enhances the spectral efficiency while IRS facilitates constructive propagation environments to maximize the received signal power [9], [10].…”

Section: Introductionmentioning

confidence: 99%

On the Quality of Service and Experience in IRS-NOMA Over κ–μ Generalized Fading Channels

Alqahtani

Alsusa

2022

IEEE Open J. Commun. Soc.

View full text Add to dashboard Cite

The quality of service (QoS) and quality of experience (QoE) metrics are vital performance indicators in cellular systems. This article presents an analytical study on indoor non-orthogonal multiple access (NOMA) systems empowered by intelligent reflecting surfaces (IRS) in generalized κ − µ fading channels. In particular, we consider the network's QoS through various performance metrics such as outage probability (OP), ergodic capacity (EC), average bit error rate (BER), and system throughput, for which we derive exact and asymptotic closed-form expressions. Furthermore, in contrast to measuring the conventional QoE of a user, we propose to apply the mean score opinion (MOS) factor, in which the objective technical criterion is mutated into a subjective user-recognized quality. To quantify this, a MOSbased QoE evaluation model is applied to an interactive web browsing service. The results demonstrate the impact of IRS on the QoS and QoE of the indoor NOMA users, as well as the effect of manipulating the channel fading components, power allocation coefficients, and path loss factors. It will be shown that careful manipulation of such parameters, coupled with the use of IRS, produces spectacular improvements in system performance. Monte Carlo simulations are performed to corroborate the accuracy of the derived analytical results.INDEX TERMS Non-orthogonal multiple access (NOMA), quality of service (QoS), quality of experience (QoE), and intelligent reflecting surface (IRS).

show abstract

Aerial Intelligent Reflecting Surfaces in MIMO-NOMA Networks: Fundamentals, Potential Achievements, and Challenges

Cited by 23 publications

References 72 publications

Outage Probability and Ergodic Capacity Analysis of MIMO-NOMA Heterogeneous Network for 5G System

Outage Probability and Ergodic Capacity Analysis of MIMO-NOMA Heterogeneous Network for 5G System

Aerial intelligent reflecting surface for improving the secrecy performance of wireless systems with hardware impairments

On the Quality of Service and Experience in IRS-NOMA Over κ–μ Generalized Fading Channels

Contact Info

Product

Resources

About