Journal of Computer Applications ›› 2022, Vol. 42 ›› Issue (12): 3856-3862.DOI: 10.11772/j.issn.1001-9081.2021101777
Special Issue: 网络与通信
• Network and communications • Previous Articles Next Articles
Junjie ZHANG1,2, Runhe QIU1,2()
Received:
2021-10-18
Revised:
2021-12-27
Accepted:
2022-01-05
Online:
2022-01-19
Published:
2022-12-10
Contact:
Runhe QIU
About author:
ZHANG Junjie, born in 1998, M. S. candidate. His research interests include cognitive radio, ultra-dense network.
Supported by:
通讯作者:
仇润鹤
作者简介:
张俊杰(1998—),男,江西吉安人,硕士研究生,主要研究方向:认知无线电、超密集网络
基金资助:
CLC Number:
Junjie ZHANG, Runhe QIU. Joint optimization of user association and resource allocation in cognitive radio ultra-dense networks to improve genetic algorithm[J]. Journal of Computer Applications, 2022, 42(12): 3856-3862.
张俊杰, 仇润鹤. 认知超密集网络用户关联与资源分配联合优化遗传算法[J]. 《计算机应用》唯一官方网站, 2022, 42(12): 3856-3862.
参数 | 值 |
---|---|
MBS覆盖半径Rm/m | 100 |
FBS覆盖半径R/m | 20 |
FBS最大发射功率 | 35 |
FBS最大发射功率 | 10 |
择优比例常数 | 0.8 |
用户总数N | [20∶20∶80] |
热点用户占比 | [0.1∶0.1∶0.9] |
FBS总数K | [10∶4∶30] |
信道个数C | [10∶2∶20] |
染色体条数L_num | 300 |
迭代上限frame | 200 |
交叉概率Pc | 0.6 |
载波间隔W/kHz | 180 |
高斯白噪声 | -174 |
用户间距离阈值/m | 1 |
FBS间距离阈值/m | 15 |
FBS-MBS距离阈值/m | 40 |
Tab. 1 Simulation parameters
参数 | 值 |
---|---|
MBS覆盖半径Rm/m | 100 |
FBS覆盖半径R/m | 20 |
FBS最大发射功率 | 35 |
FBS最大发射功率 | 10 |
择优比例常数 | 0.8 |
用户总数N | [20∶20∶80] |
热点用户占比 | [0.1∶0.1∶0.9] |
FBS总数K | [10∶4∶30] |
信道个数C | [10∶2∶20] |
染色体条数L_num | 300 |
迭代上限frame | 200 |
交叉概率Pc | 0.6 |
载波间隔W/kHz | 180 |
高斯白噪声 | -174 |
用户间距离阈值/m | 1 |
FBS间距离阈值/m | 15 |
FBS-MBS距离阈值/m | 40 |
1 | TENG Y L, LIU M T, YU F R, et al. Resource allocation for ultra-dense networks: a survey, some research issues and challenges[J]. IEEE Communications Surveys and Tutorials, 2019, 21(3): 2134-2168. 10.1109/comst.2018.2867268 |
2 | ARJOUNE Y, KAABOUCH N. A comprehensive survey on spectrum sensing in cognitive radio networks: recent advances, new challenges, and future research directions[J]. Sensors, 2019, 19(1): No.126. 10.3390/s19010126 |
3 | IVANOV A, TONCHEV K, POULKOV V, et al. Framework for implementation of cognitive radio based ultra-dense networks[C]// Proceedings of the 42nd International Conference on Telecommunications and Signal Processing. Piscataway: IEEE, 2019: 481-486. 10.1109/tsp.2019.8769067 |
4 | El RHARRAS A, SABER M, CHEHRI A, et al. Optimization of spectrum utilization parameters in cognitive radio using genetic algorithm[J]. Procedia Computer Science, 2020, 176: 2466-2475. 10.1016/j.procs.2020.09.328 |
5 | SINGH S P, KUMAR A, MISHRA S, et al. A novel analytical model for interference estimation in CR-enabled femtocells[J]. International Journal of Communication Systems, 2020, 33(4): No.e4221. 10.1002/dac.4221 |
6 | SHI L, YOO S J. Distributed fair resource allocation for cognitive femtocell networks[J]. Wireless Personal Communications, 2017, 93(4): 883-902. 10.1007/s11277-016-3935-z |
7 | HUANG X W, ZHANG W J, YANG J M, et al. Two-tier trading strategy design for spectrum allocation in heterogeneous cognitive radio networks[J]. IET Communications, 2020, 14(16): 2759-2768. 10.1049/iet-com.2019.1074 |
8 | ADEDOYIN M, FALOWO O. QoS-aware radio resource allocation for ultra-dense heterogeneous networks[C]// Proceedings of the IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications. Piscataway: IEEE, 2017: 1-7. 10.1109/pimrc.2017.8292177 |
9 | TEEKARAMAN Y, MANOHARAN H, BASHA A R, et al. Hybrid optimization algorithms for resource allocation in heterogeneous cognitive radio networks [J/OL]. Neural Processing Letters [2021-08-06].. 10.1007/s11063-020-10255-2 |
10 | 张俊杰,仇润鹤. 基于用户分簇的认知超密集网络资源分配[J/OL].电讯技术. (2021-08-21) [2021-09-19].. 10.3969/j.issn.1001-893x.2022.09.018 |
ZHANG J J, QIU R H. Resource allocation for cognitive radio ultra-dense network based on user clustering[J/OL]. Telecommunication Engineering (2021-08-21) [2021-09-19]. . 10.3969/j.issn.1001-893x.2022.09.018 | |
11 | 董晓庆. 异构无线网络密集部署场景下高效网络接入及频谱分配[J]. 计算机工程与应用, 2019, 55(4):101-111. |
DONG X Q. Efficient network access and spectrum allocation in dense deployment of heterogeneous wireless networks[J]. Computer Engineering and Applications, 2019, 55(4):101-111. | |
12 | 吴宣利,陈旭. 干扰门限与回程容量限制下UDN的能效与谱效联合优化算法[J]. 通信学报, 2019, 40(12):86-97. 10.11959/j.issn.1000-436x.2019205 |
WU X L, CHEN X. Joint energy efficiency and spectral efficiency optimization algorithm for UDN under the restriction of interference threshold and backhaul capacity[J]. Journal on Communications, 2019, 40(12):86-97. 10.11959/j.issn.1000-436x.2019205 | |
13 | 余钊贤,易辉跃,裴俊. 5G超密集异构网络带内无线回传资源分配方案[J]. 计算机工程, 2021, 47(3):43-52. |
YU Z X, YI H Y, PEI J, Resource allocation scheme of in-band wireless backhaul in 5G ultra-dense heterogeneous network[J]. Computer Engineering, 2021, 47(3):43-52. | |
14 | RAHIM M, ALFAKEEH A S, HUSSAIN R, et al. Efficient channel allocation using matching theory for QoS provisioning in cognitive radio networks[J]. Sensors, 2020, 20(7): No.1872. 10.3390/s20071872 |
15 | GE X, LI X H, JIN H, et al. Joint user association and user scheduling for load balancing in heterogeneous networks[J]. IEEE Transactions on Wireless Communications, 2018, 17(5): 3211-3225. 10.1109/twc.2018.2808488 |
16 | 龙恳,鲁江丽,李伟,等. 基于遗传算法求解三维匹配的资源分配问题[J]. 计算机工程与设计, 2021, 42(1):24-30. 10.16208/j.issn1000-7024.2021.01.004 |
LONG K, LU J L, LI W, et al. Improved genetic algorithm for solving resource allocation problem of 3D matching[J]. Computer Engineering and Design, 2021, 42(1):24-30. 10.16208/j.issn1000-7024.2021.01.004 | |
17 | KONG H B, FLINT I, WANG P, et al. Modeling and analysis of wireless networks using Poisson hard-core process[C]// Proceedings of the 2017 IEEE International Conference on Communications. Piscataway: IEEE, 2017: 1-6. 10.1109/icc.2017.7997052 |
18 | WANG X, KONG L H, KONG F X, et al. Millimeter wave communication: a comprehensive survey[J]. IEEE Communications Surveys and Tutorials, 2018, 20(3): 1616-1653. 10.1109/comst.2018.2844322 |
19 | KATOCH S, CHAUHAN S S, KUMAR V. A review on genetic algorithm: past, present, and future[J]. Multimedia Tools and Applications, 2021, 80(5): 8091-8126. 10.1007/s11042-020-10139-6 |
20 | 孙彦赞,范卫蓉,张舜卿,等. 基于图着色的密集D2D网络资源分配算法[J]. 计算机工程, 2019, 45(2):26-31. |
SUN Y Z, FAN W R, ZHANG S Q, et al. Resource allocation algorithm for dense D2D network based on graph coloring[J]. Computer Engineering, 2019, 45(2):26-31. |
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