Fuzzy logic power control of device to device communication underlay TD-LTE-A system

Wu, Wei; Li, Zhang; Li, Zhuoming; Sha, Xuejun

doi:10.1109/cecnet.2013.6703336

Cited by 4 publications

(2 citation statements)

References 5 publications

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“…A simple layout (Gu et al, 2011) is presented for the time-varying power management with improving the performance and minimizing the interference. A fuzzy logic-based power control is used for the D2D system with concern of low transmit power (Wu et al, 2013). To minimize the interference, a distributed power control method for the energy conservation scheme is used with admission control (Tang et al, 2017).…”

Section: Related Workmentioning

confidence: 99%

Linear pricing game based power control with resource allocation and interference management in device‐to‐device communication for IoT applications

Pandey

Arya

2022

Expert Systems

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Device‐to‐Device (D2D) communication is one of the leading technologies which works under the aegis of fifth generation (5G) communication for the Internet of Things in Healthcare. In D2D communication, power control with resource allocation is the most challenging area for the research to make them suitable for IoT devices. In the present work, power control with resource allocation is done by using the Linear pricing game power allocation method. First, a mathematical min‐function based problem is proposed whilst taking the interference, data rate and minimum power requirement as a constraint to ensure the resource and power allocation. In the next phase, a linear pricing game (LPG) method is utilized to propose the LPG power control with resource allocation (L‐PaRAG). Mathematical analysis and theorem ensure the minimum cost function with global stability for an optimal solution of the proposed problem. Numerical analysis and results show that the proposed algorithm gives the best results for power control and resource management whilst managing the interference to maintain the quality of services (QoS) in D2D communication. Optimized power can be utilized for the communication between the base station and D2D users, especially, during disaster management.

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Section: Related Workmentioning

confidence: 99%

Linear pricing game based power control with resource allocation and interference management in device‐to‐device communication for IoT applications

Pandey

Arya

2022

Expert Systems

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“…Fuzzy mathematics in D2D communications have mostly been applied in the field of resource allocation and power control. A continuous fuzzy power control scheme was studied by 25 , so that the cellular user can communicate in low power to achieve better D2D user connection quality. A resource allocation algorithm is modeled through fuzzy mathematics and game theory in 26 to introduce an uncertain relationship between the resource and user.…”

Section: Fuzzy Mathematicsmentioning

confidence: 99%

A Fuzzy Method for Joint Resource Allocation and Stable Pairing in D2D Communications with Applications in COVID-19 Patient Information Management

Pourmoslemi

Rajabi

Salimi

et al. 2021

Preprint

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In this paper, a device-to-device (D2D) communication multiple-metric scenario for resource allocation and pairing is proposed. To improve the stability of the D2D connection, a fuzzy method based on the data-rate and battery levels of potential D2D pairs is studied so that the set of D2D transmitters is considered as a fuzzy set. A single-cell scenario with a cellular user and some co-channel D2D nodes consisting of D2D receivers and transmitters is considered. A stable fuzzy pairing criterion is proposed for the selection of the best D2D transmitter. The proposed method is compared to three other pairing methods: maximum sum-rate, constant, and random pairing methods. The simulation results show that the proposed pairing method outperforms the other three methods in terms of stability and fairness criteria and follows the maximum sum-rate method from the sum-rate criteria point of view.

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Reference signal design for LTE-based D2D communications

Cui

Gong

Niu

2014

2014 4th IEEE International Conference on Network Infrastructure and Digital Content

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Fuzzy logic power control of device to device communication underlay TD-LTE-A system

Cited by 4 publications

References 5 publications

Linear pricing game based power control with resource allocation and interference management in device‐to‐device communication for IoT applications

Linear pricing game based power control with resource allocation and interference management in device‐to‐device communication for IoT applications

A Fuzzy Method for Joint Resource Allocation and Stable Pairing in D2D Communications with Applications in COVID-19 Patient Information Management

Reference signal design for LTE-based D2D communications

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