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Joint resource allocation and routing optimization for spectrum aggregation based CRAHNs

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Abstract

As an integration of spectrum aggregation (SA) and cognitive radio Ad Hoc networks (CRAHNs), SA-enabled CRAHNs are capable of utilizing non-continuous spectrum components and is promising in improving the network performance. However, existing research on CRAHNs mainly assuming of an ideal spectrum sensing while ignoring the false alarm probability, resulting in an inaccurate capacity characterization. Hence, in this paper, we propose a more accurate capacity characterization while the detection and false alarm probability are considered. Moreover, we propose the joint optimization model for SA-enabled CRAHNs constrained by QoS requirements of primary users and network resource allocation. We propose the prim-dual method to decompose this problem into two sub-problems: a physical (PHY) layer sub-problem on CC assignment and power allocation, and a network layer sub-problem on route selection. Besides, these two sub-problems are coupled on the link capacity constraint. For sub-problem at PHY layer, we propose the genetic algorithm to obtain the optimal CC assignment and successive convex approximation method to the find the optimal power allocation. For sub-problem at network layer, we propose to apply the standard convex method to find the optimal solution. The numerical simulations demonstrate that network throughput can be improved by increasing the number of CCs. The obtained network throughput outperforms algorithms that without power control, spectrum aggregation or route optimization.

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Acknowledgments

This work was supported in part by the National Natural Science Foundation of China under Grants 61772126, and 61972079, in part by the National Key Research and Development Program of China under Grants 2018YFC0830601, in part by the Fundamental Research Funds for the Central Universities under Grants N2016004, N2016002, and N2024005-1, in part by the Central Government Guided Local Science and Technology Development Fund Project under Grant 2020ZY0003, in part by the Young and Middle-aged Scientific and Technological Innovation Talent Support Program of Shenyang under Grant RC200548, in part by the joint Funds of Ministry of Education with China Mobile under Grant MCM20180203, and in part by the LiaoNing Revitalization Talents Program under Grant XLYC1802100.

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Authors and Affiliations

  1. School of Computer Science and Engineering, Northeastern University, Shenyang, China

    Jian Chen, Yunhe Xie, Jie Jia, Mingyang Zhang, Qinghu Wang & Xingwei Wang

  2. Engineering Research Center of Security Technology of Complex Network System, Ministry of Education, Shenyang, China

    Jian Chen, Yunhe Xie, Jie Jia, Qinghu Wang & Xingwei Wang

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  1. Jian Chen
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  2. Yunhe Xie
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  3. Jie Jia
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  4. Mingyang Zhang
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  5. Qinghu Wang
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  6. Xingwei Wang
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Correspondence to Jie Jia.

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Chen, J., Xie, Y., Jia, J. et al. Joint resource allocation and routing optimization for spectrum aggregation based CRAHNs. Peer-to-Peer Netw. Appl. 14, 1317–1333 (2021). https://doi.org/10.1007/s12083-021-01093-7

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