Abstract
This paper presents a power allocation algorithm for optimizing network resources while considering the delay provisioning in multi-user relay networks. Our aim is to minimize the average power consumed by the relay nodes while satisfying the minimum Qos requirement of all users. Employing the convex optimization theory, we derive an optimal power allocation policy in a quasi-closed form and give two rules of how to select the relay nodes. Furthermore, a stochastic power method is developed to learn the fading state of the channels and carry out the optimal strategy immediately. Moreover, numerical results are provided to demonstrate the performance of the proposed resource allocation policies.
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Acknowledgments
This work was supported by the National Science Foundation of China (No. 61201269, No. 61571272, No. 61403230), 2014 Shandong housing and urban-rural development soft science research project (No. RK015), the Natural Science Foundation of Shandong Province (Doctoral Foundation)(No. BS0135DX013), and the China Postdoctoral Science Foundation funded project (No. 2015M582104).
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Yin, X., Ma, Y., Liu, Q., Su, W. (2018). Quality-of-Service Driven Resource Allocation via Stochastic Optimization for Wireless Multi-user Relay Networks. In: Chen, Q., Meng, W., Zhao, L. (eds) Communications and Networking. ChinaCom 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 209. Springer, Cham. https://doi.org/10.1007/978-3-319-66625-9_31
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DOI: https://doi.org/10.1007/978-3-319-66625-9_31
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