OFDM for Cognitive Radio Systems: Novel Power Allocation and Bit Loading Algorithms

被引:1
作者
Razmi, Shinn [1 ]
Parhizgar, Naser [1 ]
机构
[1] Islamic Azad Univ, Dept Elect Engn, Shiraz Branch, Shiraz, Iran
关键词
Cognitive Radio; OFDM; Interference Constraints; Power Allocation; Adaptive Modulation; Bit Loading; NETWORKS;
D O I
10.24425/ijet.2019.126294
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
A novel method to improve the performance of the frequency band is cognitive radio that was introduced in 1999. Due to a lot of advantages of the OFDM, adaptive OFDM method, this technique is used in cognitive radio (CR) systems, widely. In adaptive OFDM, transmission rate and power of subcarriers are allocated based on the channel variations to improve the system performance. This paper investigates adaptive resource allocation in the CR systems that are used OFDM technique to transmit data. The aim of this paper is to maximize the achievable transmission rate for the CR system by considering the interference constraint. Although secondary users can be aware form channel information between each other, but in some wireless standards, it is impossible for secondary user to be aware from channel information between itself and a primary user. Therefore, due to practical limitation, statistical interference channel is considered in this paper. This paper introduces a novel suboptimal power allocation algorithm. Also, this paper introduces a novel bit loading algorithm. In the numerical results sections, the performance of our algorithm is compared by optimal and conventional algorithms. Numerical results indicate our algorithm has better performance than conventional algorithms while its complexity is less than optimal algorithm.
引用
收藏
页码:139 / 145
页数:7
相关论文
共 21 条
[1]   Optimal and Suboptimal Power Allocation Schemes for OFDM-based Cognitive Radio Systems [J].
Bansal, Gaurav ;
Hossain, Jahangir ;
Bhargava, Vijay K. .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2008, 7 (11) :4710-4718
[2]   Adaptive Power Loading for OFDM-Based Cognitive Radio Systems with Statistical Interference Constraint [J].
Bansal, Gaurav ;
Hossain, Md. Jahangir ;
Bhargava, Vijay K. .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2011, 10 (09) :2786-2791
[3]  
Bedeer E., 2013, SIGN PROC COMM S IEE
[4]  
Chung ST, 2001, IEEE T COMMUN, V49, P1561, DOI 10.1109/26.950343
[5]  
Jangir RK, 2015, 2015 2ND INTERNATIONAL CONFERENCE ON RECENT ADVANCES IN ENGINEERING & COMPUTATIONAL SCIENCES (RAECS)
[6]   Energy-Efficient Power Allocation Using Probabilistic Interference Model for OFDM-Based Green Cognitive Radio Networks [J].
Karmokar, Ashok ;
Naeem, Muhammad ;
Anpalagan, Alagan ;
Jaseemuddin, Muhammad .
ENERGIES, 2014, 7 (04) :2535-2557
[7]  
Khederzadeh R, 2014, 22 IR C EL ENG ICEE
[8]   Optimal and suboptimal adaptive algorithms for rate and power transmission in OFDM-based Cognitive Radio systems [J].
Khederzadeh, Reza ;
Farrokhi, Hamid .
COMPUTERS & ELECTRICAL ENGINEERING, 2015, 42 :168-177
[9]   Adaptive rate and power transmission in spectrum-sharing systems with statistical interference constraint [J].
Khederzadeh, Reza ;
Farrokhi, Hamid .
IET COMMUNICATIONS, 2014, 8 (06) :870-877
[10]  
Mitola J., 2000, Cognitive Radio: An Integrated Agent Architecture for Software Defined Radio