Selecting the Best Transmitter in Wireless Device-to-Device Communications Using a Fuzzy Decision-Making Method

Pourmoslemi, Alireza; Rajabi, Siavash; Salimi, Mehdi

doi:10.1007/978-3-030-66501-2_40

Cited by 4 publications

(7 citation statements)

References 43 publications

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Section: A Related Workmentioning

confidence: 99%

“…Other challenges such as user pairing and fuzzy-based routing in D2D communications are discussed in [20], [21]. An optimal pairing selection based on a fuzzy method in D2D communications is proposed [20]. The fuzzy degree is defined based on the received signal-to-interference-plus-noise-ratio (SINR), and potential D2D transmitter nodes' battery levels.…”

Section: A Related Workmentioning

confidence: 99%

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Power Control and Fuzzy Pairing in V2X Communications

Parizi

Pourmoslemi

Rajabi

et al. 2023

IEEE Systems Journal

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In this paper, a joint power control, and pairingbased resource allocation problem in the vehicle-to-everything (V2X) network is studied. This V2X network consists of a vehicleto-infrastructure (V2I) link and a vehicle-to-vehicle (V2V) link. Therefore, the resource allocation problem has been formulated with the objective function of maximizing the V2I link's rate with the constraints of quality of service (QoS). Due to its NP hard nature, the original resource allocation problem is divided into two sub-problems of power control and pairing. The power control sub-problem is transformed into a convex problem using an exponential variable change. A fuzzy decision-making method is exploited to solve the pairing sub-problem to have a highly reliable and stable V2V link. Then, the proposed joint power control and pairing based resource allocation technique is evaluated with a simulated highway and compared with similar pairing algorithms. These performance comparisons reveal that the stability of the proposed resource allocation technique outperforms the other related methods.

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Section: A Related Workmentioning

confidence: 99%

Section: A Related Workmentioning

confidence: 99%

Power Control and Fuzzy Pairing in V2X Communications

Parizi

Pourmoslemi

Rajabi

et al. 2023

IEEE Systems Journal

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Section: Pairing In D2d Communicationsmentioning

confidence: 99%

A Fuzzy Method for Joint Resource Allocation and Stable Pairing in D2D Communications

et al. 2022

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In this paper, a device-to-device (D2D) communications multiple-metric scenario for resource allocation and pairing is studied. To improve the D2D connection stability, a fuzzy method based on the data rate and battery levels of potential D2D pairs is proposed in such a way 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 consists of D2D receivers, and transmitters are taken into account. Furthermore, a stable fuzzy pairing criterion is proposed for the selection of the best D2D transmitter. The proposed method is compared with three other pairing methods named the maximum sum rate, constant pairing method, and random pairing method. The simulation results show that the mentioned 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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Section: Pairing In D2d Communicationsmentioning

confidence: 99%

“…This problem is investigated and studied in various approaches in the literature [7][8][9][10][11][12][13] . The nearest transmitter is considered to be the best transmitter in [7][8][9][10] , but the nearest transmitter is not necessarily the best [11][12][13] . Our approach to pairing is similar to those of [11][12][13] , except that we consider the problem of multi-user pairing and resource allocation.…”

Section: Pairing In D2d Communicationsmentioning

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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Selecting the Best Transmitter in Wireless Device-to-Device Communications Using a Fuzzy Decision-Making Method

Cited by 4 publications

References 43 publications

Power Control and Fuzzy Pairing in V2X Communications

Power Control and Fuzzy Pairing in V2X Communications

A Fuzzy Method for Joint Resource Allocation and Stable Pairing in D2D Communications

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

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