Performance Analysis for RF Energy Harvesting Mobile Edge Computing Networks with SIMO/MISO-NOMA Schemes

Ha, Dac‐Binh; Truong, Van-Truong; Lee, Yoonill

doi:10.4108/eai.28-4-2021.169425

Cited by 23 publications

(9 citation statements)

References 33 publications

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“…One of the most straightforward methods to solve optimization problems in NOMA-MEC networks is based on one-dimension search algorithms, such as Golden section search (GSS) or Fibonacci search [10,29,30]. For instance, Wu et al [10] proposed an efficient layered algorithm based on a GSS to find the optimal offloading parameter that minimizes system delay [10].…”

Section: Related Workmentioning

confidence: 99%

“…The numerical simulation results have demonstrated the outstanding effectiveness of the proposed algorithm in NOMA networks compared to the traditional OMA approach. A similar algorithm was applied in [29] to solve the SCP maximization problem for the multi-antenna user NOMA-MEC system. However, methods often have a high algorithm complexity, thus, they are only suitable for optimization problems with relatively small solution spaces.…”

Section: Related Workmentioning

confidence: 99%

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System performance and optimization in NOMA mobile edge computing surveillance network using GA and PSO

Truong

Nayyar

2023

Computer Networks

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

System performance and optimization in NOMA mobile edge computing surveillance network using GA and PSO

Truong

Nayyar

2023

Computer Networks

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“…Task offloading has emerged as a critical technique for MEC that aims to transfer computationally intensive tasks to external servers equipped with more powerful computing capabilities. The constrained IoT devices can not only partially execute computation-intensive tasks but also offload a part of tasks to nearby ESs to optimise the processing time and maximise energy efficiency [20]- [22]. In particular, a relaxation-based convex optimisation algorithm was developed to minimise the energy consumption by jointly optimising offloading decision and resource allocation in [20].…”

Section: A Literature Reviewmentioning

confidence: 99%

Distributed Communication and Computation Resource Management for Digital Twin-Aided Edge Computing With Short-Packet Communications

Van Huynh,

Nguyen,

Khosravirad

et al. 2023

IEEE J. Select. Areas Commun.

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For future networks, it is highly demanding to satisfy a wide range of time-sensitive and computation-intensive services. This is a very challenging task, since it requires a combination of aspects from information, communication and computation in order to establish a digital representation of the real network environment. This paper introduces a fairnessaware latency minimisation (FALM) framework in the digital twin (DT) aided edge computing with ultra-reliable and low latency communications (URLLC), which jointly optimises various communication and computation parameters, namely, bandwidth allocation, transmission power, task offloading portions, and processing rate of user equipments (UEs) and edge servers (ESs). The formulated problem is highly complicated, due to non-convex constraints and strong coupling among optimisation variables. To deal with this problem, we develop both centralised and distributed optimisation approaches. In particular, we first resort to successive convex approximation (SCA) method to develop a low-complexity iterative algorithm and solve the problem in a centralised manner. Combining tools from SCA and alternating direction method of multipliers (ADMM), we develop an efficient distributed solution with parallel computation processing at ESs under global consensus in each iteration and strong theoretical performance guaranteed. Numerical results are provided to validate the proposed solutions in terms of convergence speed and overall latency as well as improving fairness among all UEs.

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“…The performance of a two-user downlink NOMA network has been considered by assuming perfect and imperfect channel state information (CSI) in (10) . They derived a closed-form expression for the outage probability over η − µ fading channels.…”

Section: Introductionmentioning

confidence: 99%

Performance of Relaying System with NOMA over Symmetric a-Stable Noise Channels

Anwar,

Abass,

Kadhim

2024

IJST

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Objectives: This paper investigates the performance of a candidate 5G transmission system technique that is Non-Orthogonal Multiple Access (NOMA) over α-stable channels. This type of channel gets more attention in the research community because of its ability to model new IoT scenarios. However, there is a research gap in applying this type of channel to different wireless communications scenarios. In this work, we envision a scenario where users employ NOMA communications in the presence of an obstacle. As our mathematical analysis and simulation results show, there is a significant difference in performance when considering α-stable channels. Methods: To characterize the performance of the proposed noise channel, performance metrics such as outage probability and achievable rate are discussed. More particularly, we derive expressions for both outage probability and achievable rate for three NOMA users, considering the near user as a relay. In this paper, we consider additive symmetric α-stable noise channels with alpha α ∈ (1, 2). We present expressions for achievable rate and outage probability for each user (near, middle, and far) and investigate its behavior for different values of alpha (α). Findings: Based on the simulation results, it is shown that the high achievable rate observed for low alpha values while reduced as alpha is increased. Also, due to the influence of alpha, the outage probability is highly affected by α for small rate thresholds (Ro). In an envisioned scenario of three users with only one user forwarding the transmission to the other two, our results show that the near and middle users’ outage probability decreases as alpha α increases. Novelty: Despite this extensive study of the NOMA on individual channels, transmission under α-stable channel is not considered to the best of the authors’ knowledge. Keywords: NOMA, relaying, Cooperative Non-Orthogonal Multiple Access, Symmetric α-Stable Noise Channels, Achievable rate

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Performance Analysis for RF Energy Harvesting Mobile Edge Computing Networks with SIMO/MISO-NOMA Schemes

Cited by 23 publications

References 33 publications

System performance and optimization in NOMA mobile edge computing surveillance network using GA and PSO

System performance and optimization in NOMA mobile edge computing surveillance network using GA and PSO

Distributed Communication and Computation Resource Management for Digital Twin-Aided Edge Computing With Short-Packet Communications

Performance of Relaying System with NOMA over Symmetric a-Stable Noise Channels

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