Integration of NOMA with Reflecting Intelligent Surfaces: A Multi-cell Optimization with SIC Decoding Errors

Khan, Wali Ullah; Lagunas, Eva; Ali, Zain; Chatzinotas, Symeon; Ottersten, Björn

doi:10.48550/arxiv.2205.03248

Cited by 4 publications

(4 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The active BF at the BS and at the IRS passive BF have been optimised in two recent studies [134,212] to obtain the greatest sum rate for the system's users and show an improvement over OMA-IRS systems. A new optimization method for improving spectral efficiency in a multi-cell RIS-NOMA network with signal decoding faults was presented in [213]. In particular, the BS's power budget and NOMA users' transmit power are optimised in each cell at the same time as the reflection matrix of the RIS.…”

Section: Noma In Intelligent Reflecting Surfaces (Irs)mentioning

confidence: 99%

Cooperative Power-Domain NOMA Systems: An Overview

Ghous

Hassan

Abbas

et al. 2022

Sensors

View full text Add to dashboard Cite

Interference has been a key roadblock against the effectively deployment of applications for end-users in wireless networks including fifth-generation (5G) and beyond fifth-generation (B5G) networks. Protocols and standards for various communication types have been established and utilised by the community in the last few years. However, interference remains a key challenge, preventing end-users from receiving the quality of service (QoS) expected for many 5G applications. The increased need for better data rates and more exposure to multimedia information lead to a non-orthogonal multiple access (NOMA) scheme that aims to enhance spectral efficiency and link additional applications employing successive interference cancellation and superposition coding mechanisms. Recent work suggests that the NOMA scheme performs better when combined with suitable wireless technologies specifically by incorporating antenna diversity including massive multiple-input multiple-output architecture, data rate fairness, energy efficiency, cooperative relaying, beamforming and equalization, network coding, and space–time coding. In this paper, we discuss several cooperative NOMA systems operating under the decode-and-forward and amplify-and-forward protocols. The paper provides an overview of power-domain NOMA-based cooperative communication, and also provides an outlook of future research directions of this area.

show abstract

Section: Noma In Intelligent Reflecting Surfaces (Irs)mentioning

confidence: 99%

Cooperative Power-Domain NOMA Systems: An Overview

Ghous

Hassan

Abbas

et al. 2022

Sensors

View full text Add to dashboard Cite

show abstract

“…The recent development of intelligent reflecting surfaces (IRS) has emerged as a cost-effective and energyefficient solution to address the above-mentioned challenges [12]. The IRS compromise of an array of reflecting elements and an IRS controller that help to adjust both the phase and amplitude of the arriving signal.…”

Section: A Background and Related Workmentioning

confidence: 99%

Optimizing Computational and Communication Resources for MEC Network Empowered UAV-RIS Communication

Mahmood¹,

Vu²,

Khan³

et al. 2022

Preprint

Self Cite

View full text Add to dashboard Cite

<p>With the technological evolution and new applications, user equipment (UEs) has become a vital part of our lives. However, limited computational capabilities and finite battery life bottleneck the performance of computationally demanding applications. A practical solution to enhance the quality of experience (QoE) is to offload the extensive computation to the mobile edge cloud (MEC). Moreover, the network's performance can be further improved by deploying an unmanned aerial vehicle (UAV) integrated with intelligent reflective surfaces (IRS): an effective alternative to massive antenna systems to enhance the signal quality and suppress interference. In this work, the MEC network architecture is assisted by UAV-IRS to provide computational services to the UEs. To do so, a cost minimization problem in terms of computing time and hovering energy consumption is formulated.</p> <p>Furthermore, to achieve an efficient solution to a formulated challenging problem, the original optimization problem is decoupled into sub-problems using the block-coordinate decent method. Moreover, numerical results are compared to baseline schemes to determine the effectiveness of the proposed scheme. Simulation results demonstrate that the optimal allocation of local computational resources results in minimizing tasks' computational time and hovering energy consumption.</p>

show abstract

“…is the cochannel interference from other drones and σ 2 shows the variance. Accordingly, the nominator in (8) denotes the signal gain received from drone through direct and IRS-assisted links and the denominator shows the PD-NOMA interference and co-channel interference. This work seeks to maximize the spectral efficiency of the proposed PD-NOMA IRS-assisted drone communications with imperfect SIC decoding.…”

Section: System Model and Problem Formulationmentioning

confidence: 99%

“…Drones can be used to assist the ground base station (BS) in serving users with high data traffic and overloaded cases due to their flexibility in deployment and cost-effectiveness [3,4]. Furthermore, drones can be combined with key physical layer technologies to achieve higher capacity, such as power-domain non-orthogonal multiple access (PD-NOMA) [5], millimeter wave (mmWave) communications [6], backscatter communications [7], intelligent reflecting surfaces (IRS) [8], mobile edge computing [9][10][11], cognitive radio [12], terahertz communication [13] and so on.…”

Section: Introductionmentioning

confidence: 99%

Joint Power Control and Phase Shift Design for Future PD-NOMA IRS-Assisted Drone Communications under Imperfect SIC Decoding

Aziz¹,

Irshad

Afef

et al. 2022

Sensors

View full text Add to dashboard Cite

Intelligent reflecting surfaces (IRS) and power-domain non-orthogonal multiple access (PD-NOMA) have recently gained significant attention for enhancing the performance of next-generation wireless communications networks. More specifically, IRS can smartly reconfigure the incident signal of the source towards the destination node, extending the wireless coverage and improving the channel capacity without consuming additional energy. On the other side, PD-NOMA can enhance the number of devices in the network without using extra spectrum resources. This paper proposes a new optimization framework for IRS-enhanced NOMA communications where multiple drones transmit data to the ground Internet of Things (IoT) devices under successive interference cancellation errors. In particular, the power budget of each drone, PD-NOMA power allocation of IoT devices, and the phase shift matrix of IRS are simultaneously optimized to enhance the total spectral efficiency of the system. Given the system model and optimization setup, the formulated problem is coupled with three variables, making it very complex and non-convex. Thus, this work first transforms and decouples the problem into subproblems and then obtains the efficient solution in two steps. In the first step, the closed-form solutions for the power budget and PD-NOMA power allocation subproblem at each drone are obtained through Karush–Kuhn–Tucker (KKT) conditions. In the second step, the subproblem of efficient phase shift design for each IRS is solved using successive convex approximation and DC programming. Numerical results demonstrate the performance of the proposed optimization scheme in comparison to the benchmark schemes.

show abstract

Integration of NOMA with Reflecting Intelligent Surfaces: A Multi-cell Optimization with SIC Decoding Errors

Cited by 4 publications

References 10 publications

Cooperative Power-Domain NOMA Systems: An Overview

Cooperative Power-Domain NOMA Systems: An Overview

Optimizing Computational and Communication Resources for MEC Network Empowered UAV-RIS Communication

Joint Power Control and Phase Shift Design for Future PD-NOMA IRS-Assisted Drone Communications under Imperfect SIC Decoding

Contact Info

Product

Resources

About