Queueing Models for Cognitive Radio Networks: A Survey

被引:28
作者
Paluncic, Filip [1 ]
Alfa, Attahiru S. [1 ,2 ]
Maharaj, B. T. [1 ]
Tsimba, Hilary M. [1 ]
机构
[1] Univ Pretoria, Dept Elect Elect & Comp Engn, ZA-0002 Pretoria, South Africa
[2] Univ Manitoba, Dept Elect & Comp Engn, Winnipeg, MB R3T 5V6, Canada
基金
新加坡国家研究基金会;
关键词
Cognitive radio networks; queueing models; queueing theory; OPPORTUNISTIC SPECTRUM ACCESS; SECONDARY USERS; PERFORMANCE ANALYSIS; RESOURCE-ALLOCATION; STABLE THROUGHPUT; DELAY PERFORMANCE; WIRELESS NETWORKS; MAC PROTOCOLS; CHANNEL; MULTICHANNEL;
D O I
10.1109/ACCESS.2018.2867034
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Cognitive radio networks (CRNs) are an emerging paradigm for next generation wireless communication systems allowing for more efficient radio spectrum utilization. In order to harness the full potential that CRNs may offer, many challenges and problems need to be overcome and addressed. One of the critical questions is the performance of secondary networks under primary user activity constraints. In this respect, queueing assumes a primary role in characterizing the delay, throughput and other performance metrics for secondary users, which in turn has implications for resource allocation, medium access control and quality of service provisioning. This survey presents an overview and classification of the various queueing models and techniques which have been proposed in the literature in the context of CRNs. Furthermore, open problems, future research directions and further potential applications related to queueing for CRNs are identified.
引用
收藏
页码:50801 / 50823
页数:23
相关论文
共 190 条
[1]  
Abd-Elmagid Mohamed A., 2017, 2017 International Conference on Computing, Networking and Communications (ICNC), P137, DOI 10.1109/ICCNC.2017.7876116
[2]  
Adem N, 2014, IEEE GLOB COMM CONF, P193, DOI 10.1109/GLOCOM.2014.7036806
[3]   Queuing Analysis for Multiple-Antenna Cognitive Radio Wireless Networks With Beamforming [J].
Agrawal, Shivani ;
Rana, Vishal ;
Jagannatham, Aditya K. .
IEEE SIGNAL PROCESSING LETTERS, 2017, 24 (03) :334-338
[4]   NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey [J].
Akyildiz, Ian F. ;
Lee, Won-Yeol ;
Vuran, Mehmet C. ;
Mohanty, Shantidev .
COMPUTER NETWORKS, 2006, 50 (13) :2127-2159
[5]   Increasing Spectrum Capacity for Ad Hoc Networks using Cognitive Radios: An Analytical Model [J].
Al-Mahdi, Hassan ;
Kalil, Mohamed A. ;
Liers, Florian ;
Mitschele-Thiel, Andreas .
IEEE COMMUNICATIONS LETTERS, 2009, 13 (09) :676-678
[6]   Discrete time analysis of cognitive radio networks with imperfect sensing and saturated source of secondary users [J].
Alfa, A. S. ;
Pla, V. ;
Martinez-Bauset, J. ;
Casares-Giner, V. .
COMPUTER COMMUNICATIONS, 2016, 79 :53-65
[7]  
Alfa A. S., 2016, APPL DISCRETE TIME Q
[8]   Mixed-Integer Programming based Techniques for Resource Allocation in Underlay Cognitive Radio Networks: A Survey [J].
Alfa, Attahiru S. ;
Maharaj, B. T. ;
Lall, Shruti ;
Pal, Sougata .
JOURNAL OF COMMUNICATIONS AND NETWORKS, 2016, 18 (05) :744-761
[9]   Advances on Spectrum Sensing for Cognitive Radio Networks: Theory and Applications [J].
Ali, Abdelmohsen ;
Hamouda, Walaa .
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2017, 19 (02) :1277-1304
[10]   Performance Modeling of Finite-Source Cognitive Radio Networks [J].
Almasi, Bela ;
Berczes, Tamas ;
Kuki, Attila ;
Sztrik, Janos ;
Wang, Jinting .
ACTA CYBERNETICA, 2016, 22 (03) :617-631