Computationally efficient adaptive algorithm for resource allocation in orthogonal frequency-division multiple-access-based cognitive radio networks

2015 ◽  
Vol 9 (12) ◽  
pp. 1442-1449 ◽  
Author(s):  
Mahdi Raeis ◽  
Kamal Shahtalebi ◽  
Amir Reza Forouzan
Keyword(s):  
Resource Allocation ◽  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Adaptive Algorithm ◽  
Multiple Access ◽  
Radio Networks ◽  
Frequency Division ◽  
Computationally Efficient

scholarly journals Radio Resource Allocation with The Fairness Metric for Low Density Signature OFDM in Underlay Cognitive Radio Networks

Sensors ◽  
2019 ◽  
Vol 19 (8) ◽  
pp. 1921 ◽  
Author(s):  
Linda Meylani ◽  
Adit Kurniawan ◽  
M. Sigit Arifianto
Keyword(s):  
Resource Allocation ◽  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Orthogonal Frequency Division Multiplexing ◽  
Multiple Access ◽  
Radio Networks ◽  
Low Density ◽  
Small Set ◽  
Underlay Cognitive Radio ◽  
Code Division Multiple

Low density signature orthogonal frequency division multiplexing (LDS-OFDM), one type of non-orthogonal multiple access (NOMA), is a special case of multi-carrier code division multiple access (MC-CDMA). In LDS-OFDM, each user is allowed to spread its symbols in a small set of subcarriers, and there is only a small group of users that are permitted to share the same subcarrier. In this paper, we study the resource allocation for LDS-OFDM as the multiple access model in cognitive radio networks. In our scheme, SUs are allocated to certain d v subcarriers based on minimum interference or higher SINR in each subcarrier. To overcome the problem where SUs were allocated less than the d v subcarriers, we propose interference limit-based resource allocation with the fairness metric (ILRA-FM). Simulation results show that, compared to the ILRA algorithm, the ILRA-FM algorithm has a lower outage probability and higher fairness metric value and also a higher throughput fairness index.

scholarly journals Multiple Access in Cognitive Radio Networks: From Orthogonal and Non-Orthogonal to Rate-Splitting

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Safaa Gamal ◽  
Mohamed Rihan ◽  
Saleh Hussin ◽  
Adel Zaghloul ◽  
A. Abdelaziz Salem
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Multiple Access ◽  
Radio Networks ◽  
Rate Splitting
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