Performance Analysis of D2D Energy Efficient IoT Networks with Relay-Assisted Underlaying Technique

Anajemba, Joseph Henry; Tang, Yue; Ansere, James Adu; Iwendi, Celestine

doi:10.1109/iecon.2018.8591373

Cited by 21 publications

(5 citation statements)

References 15 publications

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“…Fig. 2 compares the analytical SIR-based OP derived in Section III with the simulation results obtained using SINR in (5), and SNR (using the same equation, but considering interference-free regime). As we can see, in all cases, the outage performance of D 2 is superior compared to D 1 which can be explained by the impact of selected system parameters defined in Table 1.…”

Section: Results Discussionmentioning

confidence: 99%

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Hardware- and Interference-Limited Cognitive IoT Relaying NOMA Networks With Imperfect SIC Over Generalized Non-Homogeneous Fading Channels

et al. 2020

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Internet-of-Things (IoT) technology has received much attention due to its great potential to interconnect billions of devices in a broad range of applications. IoT networks can provide high-quality services for a large number of users and smart objects. On the other hand, massive connectivity in IoT networks brings problems associated with spectral congestion. This issue can be solved by applying cognitive radio (CR) and non-orthogonal multiple access (NOMA) techniques. In this respect, this paper studies the performance of cooperative CR-NOMA enabled IoT networks over a generalized α − µ fading channel model. Closed-form analytical expressions of the end-to-end outage probability (OP) for the secondary NOMA users are derived using the Meijer's G-function with a consideration of the impacts of the interference temperature constraint, primary interference, residual hardware impairments and imperfect successive interference cancellation. Moreover, to acquire some useful insights on the system performance, asymptotic closed-form OP expressions are provided. Additionally, the impact of α and µ fading parameters on the outage performance is examined and, as a result, it is concluded that the system performance sufficiently improves as α and/or µ increase. Furthermore, the outage performance of the proposed system model is shown to outperform that of an identical IoT network operating on orthogonal multiple access. Finally, the provided closed-form OP expressions are validated with Monte Carlo simulations. INDEX TERMS α − µ fading, cognitive radio (CR), cooperative communications, Internet-of-Things (IoT), non-homogeneous generalized fading, non-orthogonal multiple access (NOMA), outage probability (OP).

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Section: Results Discussionmentioning

confidence: 99%

“…IoT networks can deliver a superior performance in terms of energy consumption, spectral efficiency, and low latency [5]. On the other hand, due to the massive connectivity and high traffic volume, IoT networks demand more spectrum channels by over-loading the limited radio spectrum with a large number of devices [6].…”

Section: Introductionmentioning

confidence: 99%

Hardware- and Interference-Limited Cognitive IoT Relaying NOMA Networks With Imperfect SIC Over Generalized Non-Homogeneous Fading Channels

et al. 2020

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“…Hence, we propose an optimal cooperative offloading technique to enhance energy efficiency in dynamic IoT networks of the cloud computing system. However, recent works did not give much consideration to the influence terminal execution technique has on multi-access computation which results in highly deteriorated network performance [27]- [31]. This also contributes to the focus of our research.…”

Section: Related Workmentioning

confidence: 93%

Optimal Cooperative Offloading Scheme for Energy Efficient Multi-Access Edge Computation

et al. 2020

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The distributed cooperative offloading technique with wireless setting and power transmission provides a possible solution to meet the requirements of next-generation Multi-access Edge Computation (MEC). MEC is a model which avails cloud computing the aptitude to smoothly compute data at the edge of a largely dense network and in nearness to smart communicating devices (SCDs). This paper presents a cooperative offloading technique based on the Lagrangian Suboptimal Convergent Computation Offloading Algorithm (LSCCOA) for multi-access MEC in a distributed Internet of Things (IoT) network. A computational competition of the SCDs for limited resources which tends to obstructs smooth task offloading for MEC in an IoT high demand network is considered. The proposed suboptimal computational algorithm is implemented to perform task offloading which is optimized at the cloud edge server without relocating it to the centralized network. These resulted in a minimized weighted sum of transmit power consumption and outputs as a mixed-integer optimization problem. Also, the derived fast-convergent suboptimal algorithm is implemented to resolve the non-deterministic polynomial-time (NP)-hard problem. In conclusion, simulation results are performed to prove that the proposed algorithm substantially outperforms recent techniques with regards to energy efficiency, energy consumption reduction, throughput, and transmission delay performance.

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“…Several researchers have studied the application of Kalman Filtering in solving related robotic balancing problems, around the world. The authors in [1], and [21] provide research on how to use the Kalman Filtering to solve the problems of the self-balancing two-wheeled robot control.…”

Section: Related Workmentioning

confidence: 99%

Robust Navigational Control of a Two-Wheeled Self-Balancing Robot in a Sensed Environment

et al. 2019

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This research presents an improved mobile inverted pendulum robot called Two-wheeled Self-balancing robot (TWSBR) using a Proportional-Derivative Proportional-Integral (PD-PI) robust control design based on 32-bit microcontroller in a sensed environment (SE). The robot keeps itself balance with two wheels and a PD-PI controller based on the Kalman filter algorithm during the navigation process and is able to stabilize while avoiding acute and dynamic obstacles in the sensed environment. The Proportional (P) control is used to implement turn control for obstacle avoidance in SE with ultrasonic waves. Finally, in a SE, the robot can communicate with any of the Internet of Things (IoT) devices (mobile phone or Personal Computer) which have a Java-based transmission application installed and through Bluetooth technology connectivity for wireless control. The simulation results prove the efficiency of the proposed PD-PI controller in path planning, and balancing challenges of the TWSBR under several environmental disturbances. This shows an improved control system as compared to the existing improved Adaptive Fuzzy Controller.

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Performance Analysis of D2D Energy Efficient IoT Networks with Relay-Assisted Underlaying Technique

Cited by 21 publications

References 15 publications

Hardware- and Interference-Limited Cognitive IoT Relaying NOMA Networks With Imperfect SIC Over Generalized Non-Homogeneous Fading Channels

Hardware- and Interference-Limited Cognitive IoT Relaying NOMA Networks With Imperfect SIC Over Generalized Non-Homogeneous Fading Channels

Optimal Cooperative Offloading Scheme for Energy Efficient Multi-Access Edge Computation

Robust Navigational Control of a Two-Wheeled Self-Balancing Robot in a Sensed Environment

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