Energy-Efficient Resource Allocation for Secure Cognitive Radio Network With Delay QoS Guarantee

被引:14
作者
Bai, Zhiquan [1 ]
Ma, Liuqing [1 ]
Dong, Yanan [1 ]
Ma, Piming [1 ]
Ma, Yanbo [2 ]
机构
[1] Shandong Univ, Sch Informat Sci & Engn, Shandong Prov Key Lab Wireless Commun Technol, Jinan 250100, Shandong, Peoples R China
[2] Shandong Univ Finance & Econ, Sch Management Sci & Engn, Jinan 250014, Shandong, Peoples R China
来源
IEEE SYSTEMS JOURNAL | 2019年 / 13卷 / 03期
基金
美国国家科学基金会;
关键词
Delay quality of service; robust resource allocation; secure cognitive radio network (CRN); secure effective capacity; time-division multiple-access (TDMA); POWER ALLOCATION; COMMUNICATION; BROADCAST; CAPACITY; FAIRNESS; QUALITY;
D O I
10.1109/JSYST.2018.2875835
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A joint resource allocation policy for an underlay multi-user secure cognitive radio network (CRN) adopting the time-division multiple-access scheme with the guarantee of the statistical delay quality-of-service is proposed in this paper. Through the problem formulation of the resource allocation for the multi-user secure CRN with perfect channel state information (CSI), the energy-efficient joint power and time optimization scheme is proposed, which aims at minimizing the beta-fair cost functions subject to fairness, delay, and security constraints. Furthermore, considering the multi-user secure CRN with imperfect CSI, we also propose a robust resource allocation scheme and the tradeoff between the robustness and the achievable sum-power is analyzed. Numerical results show that the optimal resource allocation scheme with perfect CSI can effectively balance the tradeoff between the energy efficiency and the fairness and is superior to the other conventional resource allocation strategies. Moreover, the robust resource allocation policy with imperfect CSI makes the theoretical research much closer to the practical applications.
引用
收藏
页码:2795 / 2805
页数:11
相关论文
共 41 条
[1]   Energy efficient broadcast in wireless ad hoc networks with hitch-hiking [J].
Agarwal, M ;
Gao, LX ;
Cho, JH ;
Wu, J .
MOBILE NETWORKS & APPLICATIONS, 2005, 10 (06) :897-910
[2]   Energy-Efficient Uplink Resource Allocation in LTE Networks With M2M/H2H Co-Existence Under Statistical QoS Guarantees [J].
Aijaz, Adnan ;
Tshangini, Mati ;
Nakhai, Mohammad Reza ;
Chu, Xiaoli ;
Aghvami, Abdol-Hamid .
IEEE TRANSACTIONS ON COMMUNICATIONS, 2014, 62 (07) :2353-2365
[3]  
Akin S., 2014, 2014 48 ANN C INF SY, P1, DOI DOI 10.1109/CISS.2014.6814188
[4]  
[Anonymous], 1999, NONLINEAR PROGRAMMIN
[5]   Selected topics in robust convex optimization [J].
Ben-Tal, Aharon ;
Nemirovski, Arkadi .
MATHEMATICAL PROGRAMMING, 2008, 112 (01) :125-158
[6]  
Bertsekas D., 1991, DATA NETWORKS, V2nd
[7]   Robust linear optimization under general norms [J].
Bertsimas, D ;
Pachamanova, D ;
Sim, M .
OPERATIONS RESEARCH LETTERS, 2004, 32 (06) :510-516
[8]  
Boyd Stephen P., 2014, Convex Optimization
[9]  
Chang C.-S., 2000, TELEC NETW COMP SYST
[10]   Novel Relay Selection Rules for Average Interference-Constrained Cognitive AF Relay Networks [J].
Das, Priyanka ;
Mehta, Neelesh B. ;
Singh, Gagandeep .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2015, 14 (08) :4304-4315