A distributed power allocation algorithm for OFDM-based cognitive radio networks

Ma, Ning; Yang, Mochan; Shin, Yoan

doi:10.1109/tencon.2013.6718877

Cited by 5 publications

(1 citation statement)

References 11 publications

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“…The authors of [ 27 ] proposed a distributed power allocation scheme, which is suitable for resource allocation under multi-user and multi-channel conditions, but little consideration is given to the interference problem of authorized users. In [ 28 ], a distributed resource allocation scheme was proposed, which proved that the Particle Swarm Optimization (PSO) algorithm and the dual Lagrangian optimization method have similar performance and acceptable computational complexity. The authors of [ 29 ] proposed a method of combining the PSO algorithm and the case-based reasoning method for power allocation, which can speed up the convergence, but the case library samples require time and cost accumulation.…”

Section: Subcarrier Power Allocation Algorithmmentioning

confidence: 99%

NC-OFDM Satellite Communication Based on Compressed Spectrum Sensing

Wang

Niu

Zhao

et al. 2022

Sensors

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With the fast development of giant LEO constellations, the effective spectrum utilization has been regarded as one of the key orientations for satellite communications. This paper focuses on improving the spectrum utilization efficiency of satellite communications by proposing a non-continuous orthogonal frequency division multiplexing (NC-OFDM) method. Based on the models of NC-OFDM system, we first propose a sub-carrier allocation method by using spectrum sensing to efficiently perceive and utilize the spectrum holes in the satellite communication system. Then, a hybrid genetic particle swarm optimization method is adopted to allocate the channel resources effectively. Finally, simulation results verify that the proposed algorithm can significantly improve the spectrum efficiency of satellite communications.

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Section: Subcarrier Power Allocation Algorithmmentioning

confidence: 99%