Radio resource allocation for orthogonal frequency division multiple access-based underlay cognitive radio networks utilising weighted ergodic rates

2012 ◽  
Vol 6 (16) ◽  
pp. 2543-2552 ◽  
Author(s):  
M. Dashti ◽  
K. Navaie ◽  
P. Azmi
Keyword(s):  
Resource Allocation ◽  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Multiple Access ◽  
Radio Networks ◽  
Frequency Division ◽  
Radio Resource Allocation ◽  
Radio Resource ◽  
Underlay Cognitive Radio

Radio Resource Allocation Techniques for Efficient Spectrum Access in Cognitive Radio Networks

2016 ◽  
Vol 18 (1) ◽  
pp. 824-847 ◽  
Author(s):  
Georgios I. Tsiropoulos ◽  
Octavia A. Dobre ◽  
Mohamed Hossam Ahmed ◽  
Kareem E. Baddour
Keyword(s):  
Resource Allocation ◽  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Radio Networks ◽  
Radio Resource Allocation ◽  
Spectrum Access ◽  
Radio Resource

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.

Probabilistic Radio Resource Allocation Over CDMA-Based Cognitive Radio Networks

2015 ◽  
Vol 64 (8) ◽  
pp. 3560-3565 ◽  
Author(s):  
Mohammad Mirtavoosi Mahyari ◽  
Arman Shojaeifard ◽  
Mohammad Shikh-Bahaei
Keyword(s):  
Resource Allocation ◽  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Radio Networks ◽  
Radio Resource Allocation ◽  
Radio Resource
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