Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/107593
Title: Power allocation in cognitive radio networks over Rayleigh-fading channels with hybrid intelligent algorithms
Authors: Li, Feng
Lam, Kwok-Yan
Wang, Li
Keywords: Cognitive Radio
Intelligent Algorithm
Engineering::Computer science and engineering
Issue Date: 2017
Source: Li, F., Lam, K.-Y., & Wang, L. (2018). Power allocation in cognitive radio networks over Rayleigh-fading channels with hybrid intelligent algorithms. Wireless Networks, 24(7), 2397-2407. doi:10.1007/s11276-017-1476-3
Series/Report no.: Wireless Networks
Abstract: In this paper, we introduce a hybrid strategy which combines pattern search (PS) optimization and genetic algorithm (GA) to address the problem of power allocation in cognitive radio networks. Considering the fluctuating interference thresholds in cognitive networks, an approach for promoting the coexistence of licensed users and cognitive users is designed. Secondly, based on the analysis of transmission outage probability, a corresponding objective function with regard to the power allocation over Rayleigh fading channels is obtained. It is a difficult task to obtain this objective function directly by using traditional methods, such as common mathematical deduction or linear programming, due to the nonlinearity and complexity of the underlying optimization problem. Inspired by the concept of intelligent algorithms, we employ the scheme of combining PS optimization and GA method, which are both efficient intelligent algorithms to address this challenge. The advantage of this hybrid strategy is that it can overcome the instability problem of GA as well as the local convergency problem of PS method. Thus, the hybrid intelligent method can attain a global and steady outcome. We improve the performance of power allocation strategy with an acceptable increase in computation overhead. The numerical results are encouraging and show that the proposed approach is worthy of consideration in achieving complicated power optimization. Hence, we achieve steady and rational outcomes by applying the proposed hybrid strategy when traditional method is to be ineffective in addressing the nonlinear objective.
URI: https://hdl.handle.net/10356/107593
http://hdl.handle.net/10220/50345
ISSN: 1022-0038
DOI: http://dx.doi.org/10.1007/s11276-017-1476-3
Rights: This is a post-peer-review, pre-copyedit version of an article published in Wireless Networks. The final authenticated version is available online at: http://dx.doi.org/10.1007/s11276-017-1476-3.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Journal Articles

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