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

被引：2

作者：

Pourmoslemi, Alireza ^{[1
]}

Rajabi, Siavash ^{[2
]}

Salimi, Mehdi ^{[3
,4
]}

Ferrara, Massimiliano ^{[5
]}

机构：

[1] Payame Noor Univ, Dept Math, POB 19395-4697, Tehran, Iran

[2] Hamedan Univ Technol, Dept Elect Engn, Hamadan 65155, Hamadan, Iran

[3] St Francis Xavier Univ, Dept Math & Stat, Antigonish, NS B2G 2W5, Canada

[4] Tech Univ Dresden, Fac Math, Ctr Dynam, D-01062 Dresden, Germany

[5] Univ Mediterranea Reggio Calabria, DiGiES & Decis Lab, I-89124 Reggio Di Calabria, Italy

来源：

APPLIED SCIENCES-BASEL | 2022年 / 12卷 / 03期

关键词：

device to device communications; fuzzy pairing method; t-norms; einstein sum; TO-DEVICE COMMUNICATION; AGGREGATION OPERATORS; 5G; ALGORITHM; NETWORKS; IMPACT;

D O I：

10.3390/app12031343

中图分类号：

O6 [化学];

学科分类号：

0703 ;

摘要：

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.

引用

页数：12

共 50 条

[1] Joint User Pairing and Resource Allocation for SWIPT-Enabled Cooperative D2D Communications
Wu, Mengru
Song, Qingyang
Ni, Qiang
Guo, Lei
Ning, Zhaolong
Obaidat, Mohammad S.
[J]. IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2021), 2021,
[2] An Iterative Hungarian Method to Joint Relay Selection and Resource Allocation for D2D Communications
Kim, Taejoon
Dong, Miaomiao
[J]. IEEE WIRELESS COMMUNICATIONS LETTERS, 2014, 3 (06) : 625 - 628
[3] Joint Uplink and Downlink Resource Allocation for D2D Communications System
Song, Xin
Han, Xiuwei
Ni, Yue
Dong, Li
Qin, Lei
[J]. FUTURE INTERNET, 2019, 11 (01)
[4] Resource Allocation Schemes for D2D Communications
Zhao, Yuxin
Pelletier, Benoit
Pani, Diana
[J]. 2014 IEEE LONG ISLAND SYSTEMS, APPLICATIONS AND TECHNOLOGY CONFERENCE (LISAT), 2014,
[5] A joint multiplexing and resource allocation algorithm for asynchronous underlay D2D communications
Pischella, Mylene
Zakaria, Rostom
Le Ruyet, Didier
[J]. 2018 IEEE 87TH VEHICULAR TECHNOLOGY CONFERENCE (VTC SPRING), 2018,
[6] Joint Admission Control and Resource Allocation for D2D Communications with QoS Constraints
Cicalo, Sergio
Tralli, Velio
[J]. 2015 IEEE GLOBECOM WORKSHOPS (GC WKSHPS), 2015,
[7] Joint User Grouping and Resource Allocation for NOMA Enhanced D2D Communications
Xie, Jin
Xu, Fangmin
[J]. IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2024, E107A (06) : 864 - 872
[8] Transfer Learning Based Joint Resource Allocation for Underlay D2D Communications
Jaiswal, Rahul
Deshmukh, Siddharth
Elnourani, Mohamed
Beferull-Lozano, Baltasar
[J]. 2022 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), 2022, : 1479 - 1484
[9] Resource Allocation for D2D Communications in Mobile Networks
Hussein, Bassam
Samhat, Abed Ellatif
[J]. 2018 INTERNATIONAL CONFERENCE ON COMPUTER AND APPLICATIONS (ICCA), 2018, : 253 - 259
[10] Energy-Efficient Joint Resource Allocation and Power Control for D2D Communications
Jiang, Yanxiang
Liu, Qiang
Zheng, Fuchun
Gao, Xiqi
You, Xiaohu
[J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2016, 65 (08) : 6119 - 6127

← 1 2 3 4 5 →