Energy Efficient Coverage Extension Relay Node Placement in LTE-A Networks

Mafuta, Armeline Dembo; Walingo, Tom; Ngatched, Telex M. N.

doi:10.1109/lcomm.2017.2691344

Cited by 14 publications

(10 citation statements)

References 14 publications

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“…In comparison to [19] where the authors proposed an energy-efficient and optimal RN placement (EEORNP) algorithm, we can notice from the results that this algorithm needs 57 relay nodes to cover 500 users whereas our optimum plan needs just 27 relay nodes to cover 3977 users. Furthermore, the algorithm in [19] requires 100 relay nodes to attain 88% coverage whereas our optimum cell plan with the PSOGSA algorithm demands 27 relay nodes to achieve 79.54% coverage means a fewer number of relay nodes by a third.…”

Section: With Insight Intomentioning

confidence: 87%

“…Two hop links treat with the low or null coverage locations and enhance the physical layer were suggested in [18]. The authors' work in [19] is concerned with the relay node deployment in LTE-A networks to increase the coverage with energy-efficient constraints. In [20], a crosslayer routing for secondary multihop was examined following the signal to interference noise ratio (SINR) constraints.…”

Section: Introductionmentioning

confidence: 99%

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Optimization of the Deployment of Relay Nodes in Cellular Networks

2020

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Significant and continuous contributions related to 4G/5G cellular networks are still accelerating the investigation of the approaches that can boost the cell characteristics following the new aspirations of the users. The challenge of achieving sufficient coverage at the cell edge; represents a constant concern for both users and operators; in addition to ensuring a reasonable cost, are the most important search fields and in our scope of interest. As relay nodes can provide a solution, a scenario for a plan of relay nodes deployment at the cell edge is proposed, taking into account the interference due to the relay nodes. Since optimization algorithms are effective in terms of planning, an advanced hybrid particle swarm optimization and gravitational search algorithm (PSOGSA) is applied to the proposed scenario to detect the optimum solution. The optimum solution represents the optimum plan that attains the best coverage with the minimum cost. We submit cost analysis depends on three trails of construction cost, power and channel cost efficiency. To highlight that the optimal plan has been revealed, another recently developed optimization algorithm, a simplified adaptive bat algorithm based on frequency (FSABA) and a classic particle swarm optimization (PSO) algorithm are also applied to the suggested scenario. The obtained results are compared with the related findings of the PSOGSA. From the simulations, it is found that the PSOGSA achieves better performance than the other two algorithms with fruitful and promising results, and the optimal plan featuring great coverage at the cell edge and cost-saving is attained. INDEX TERMS A simplified adaptive bat algorithm based on frequency (FSABA), cell edge, particle swarm optimization and gravitational search algorithm (PSOGSA), relay nodes. RANA M. MOKHTAR received the B.Sc. degree in communication and electronics engineering from Suez Canal University, Port Said, Egypt, in 2009. She is currently pursuing the M.Sc. degree in communication engineering with the Faculty of Engineering. Her current research interests include cellular network planning, relaying network, and optimization techniques. DR. HEBA M. Abdel-Atty received the Ph.D. degree in Electronics and Communications Engineering from the Faculty of Engineering-Port Said University, Egypt 2012. She is working as an associate professor at the Electronics and Communications Engineering Department from 2018 until now. She is founder and counselor of IEEE in Port-Said University student branch. She is a member of IoT Egypt Forum She published a lot of papers in international journals and conferences and she is a reviewer at a lot of international journals. Her current

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Section: With Insight Intomentioning

confidence: 87%

Section: Introductionmentioning

confidence: 99%

Optimization of the Deployment of Relay Nodes in Cellular Networks

2020

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“…In the twotiered network, the sensor node can only transmit the data collected by itself to relay node or directly to gateway node and cannot transfer data from another sensor node. The second method is based on network coverage connectivity [5]. In the relay node placement model with network connectivity as the target, its only necessary to ensure the connectivity between each sensor node and gateway node.…”

Section: The Related Workmentioning

confidence: 99%

“…To make the energy consumption of node h have the minimum value, the mean inequality is further optimized for formula (3), and then inequality (6) can be obtained. Among them, the inequality optimization process is shown in inequality (4) and (5).…”

Section: The Optimal Transmission Schemementioning

confidence: 99%

Relay Node Placement Based on Optimal Transmission Distance in Two-Tiered Sensor Network

Mao

Jiang

2020

IEEE Access

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With the gradual expansion of the application field in wireless sensor networks, the problems of the energy consumption has received more and more attention. In wireless sensor networks, the location of sensor nodes and gateway nodes are usually fixed. To ensure that the energy consumption of the sensor network is minimized during data transmission, it is necessary to optimize the placement of relay nodes. This paper proposes the solution of relay nodes placement based on optimal transmission distance, which can minimize the energy consumption and extend the lifetime of the entire network during the transmission process. This scheme starts with a one-dimensional queue network and calculates the optimal distance for each hop transmission to minimize the energy consumption of the one-dimensional queue network. Due to the poor connectivity of the one-dimensional queue network, the concept of the optimal transmission distance is introduced into two-dimensional network, so that the placement scheme can be divided into the symmetrical relay node placement and the asymmetric relay node placement. Finally, the energy consumption of the network is minimized by properly selecting relay nodes. The simulation show that the proposed relay node placement scheme can reduce the energy consumption of the sensor network and extend the network life cycle.

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“…Performance of relaying in mobile networks has been studied by several researchers. In [ 5 ], algorithms for energy efficiency enhancement and optimum node placement are proposed. In [ 6 ], challenges related to mobile communication in high-speed trains such as attenuation and high Doppler spread are addressed.…”

Section: Literature Surveymentioning

confidence: 99%

Method for Handling Massive IoT Traffic in 5G Networks

Marwat

Mehmood

Khan

et al. 2018

Sensors

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The ever-growing Internet of Things (IoT) data traffic is one of the primary research focuses of future mobile networks. 3rd Generation Partnership Project (3GPP) standards like Long Term Evolution-Advanced (LTE-A) have been designed for broadband services. However, IoT devices are mainly based on narrowband applications. Standards like LTE-A might not provide efficient spectrum utilization when serving IoT applications. The aggregation of IoT data at an intermediate node before transmission can answer the issues of spectral efficiency. The objective of this work is to utilize the low cost 3GPP fixed, inband, layer-3 Relay Node (RN) for integrating IoT traffic into 5G network by multiplexing data packets at the RN before transmission to the Base Station (BS) in the form of large multiplexed packets. Frequency resource blocks can be shared among several devices with this method. An analytical model for this scheme, developed as an r-stage Coxian process, determines the radio resource utilization and system gain achieved. The model is validated by comparing the obtained results with simulation results.

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Energy Efficient Coverage Extension Relay Node Placement in LTE-A Networks

Cited by 14 publications

References 14 publications

Optimization of the Deployment of Relay Nodes in Cellular Networks

Optimization of the Deployment of Relay Nodes in Cellular Networks

Relay Node Placement Based on Optimal Transmission Distance in Two-Tiered Sensor Network

Method for Handling Massive IoT Traffic in 5G Networks

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