Optimal Power Allocation for Hybrid Cognitive Cooperative Radio Networks With Imperfect Spectrum Sensing

被引:13
作者
Thi My Chinh Chu [1 ]
Zepernick, Hans-Jurgen [1 ]
机构
[1] Blekinge Inst Technol, SE-37179 Karlskrona, Sweden
来源
IEEE ACCESS | 2018年 / 6卷
关键词
Cognitive radio; hybrid interweave-underlay spectrum access; amplify-and-forward relaying; power allocation; imperfect spectrum sensing; channel capacity; outage probability; INTERFERENCE POWER; WIRELESS NETWORKS; ACCESS; CONSTRAINTS; RELAY;
D O I
10.1109/ACCESS.2018.2792063
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, two optimal power allocation strategies for hybrid interweave-underlay cognitive cooperative radio networks (CCRNs) are proposed to maximize channel capacity and minimize outage probability. The proposed power allocation strategies are derived for the case of Rayleigh fading, taking into account the impact of imperfect spectrum sensing on the performance of the hybrid CCRN. Based on the optimal power allocation strategies, the transmit powers of the secondary transmitter and secondary relay are adapted according to the fading conditions, the interference power constraint imposed by the primary network (PN), the interference from the PN to the hybrid CCRN, and the total transmit power limit of the hybrid CCRN. Numerical results are provided to illustrate the effect of the interference power constraint of the PN, arrival rate of the PN, imperfect spectrum sensing, and the transmit power constraint of the hybrid CCRN on channel capacity and outage probability. Finally, comparisons of the channel capacity and outage probability of underlay, overlay, and hybrid interweave-underlay CCRNs are presented to show the advantages of the hybrid spectrum access.
引用
收藏
页码:10365 / 10380
页数:16
相关论文
共 24 条
[1]   Investigating the Gaussian Convergence of the Distribution of the Aggregate Interference Power in Large Wireless Networks [J].
Aljuaid, Muhammad ;
Yanikomeroglu, Halim .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2010, 59 (09) :4418-4424
[2]  
[Anonymous], 2016, IET RADIO PROPAGATIO
[3]  
BOHARA V., 2010, Proc. of the 5th Int. Conf. on Cogn. Radio Oriented Wireless Net. Commun. (CROWNCOM), P1
[4]  
Boyd L., 2004, CONVEX OPTIMIZATION
[5]   Hybrid Energy Harvesting-Based Cooperative Spectrum Sensing and Access in Heterogeneous Cognitive Radio Networks [J].
Celik, Abdulkadir ;
Alsharoa, Ahmad ;
Kamal, Ahmed E. .
IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING, 2017, 3 (01) :37-48
[6]   Joint Sensing and Reception Design of SIMO Hybrid Cognitive Radio Systems [J].
Filippou, Miltiades C. ;
Ropokis, George A. ;
Gesbert, David ;
Ratnarajah, Tharmalingam .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2016, 15 (09) :6327-6341
[7]   Breaking Spectrum Gridlock With Cognitive Radios: An Information Theoretic Perspective [J].
Goldsmith, Andrea ;
Jafar, Syed Ali ;
Maric, Ivana ;
Srinivasa, Sudhir .
PROCEEDINGS OF THE IEEE, 2009, 97 (05) :894-914
[8]   Cognitive radio: Brain-empowered wireless communications [J].
Haykin, S .
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2005, 23 (02) :201-220
[9]  
Hu J, 2012, IEEE GLOB COMM CONF, P1398, DOI 10.1109/GLOCOM.2012.6503309
[10]   Gaussian Approximation for the Wireless Multi-Access Interference Distribution [J].
Inaltekin, Hazer .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2012, 60 (11) :6114-6120