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Uplink Joint Resource Reallocation in a Multi-homing Heterogeneous System Based on Cognitive Radio

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Communications, Signal Processing, and Systems (CSPS 2017)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 463))

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Abstract

In this paper, a joint resource reallocation algorithm based on cognitive radio (CR) is investigated for power-constrained user equipment, in a multi-homing heterogeneous system with limited original subcarriers. Currently, all relevant works consider systems where networks run in separate frequency bands. Unlike them, we assume that they are capable of sharing spectrum resources by adopting CR to improve the resource utilization efficiency. Unlike conventional resource allocation, we jointly reallocate both the original resources and the detected new resources of a running system based on spectrum sensing results. This paper first proposes a CR-based uplink joint resource reallocation method on condition that networks can share spectrum resources. Then we formulate the proposed method, adopt the continuity relaxation method to convert the formulated problem into a convex optimization problem, and solve it. Finally, simulation results demonstrate the significantly improved performance of our proposed method, i.e., throughput and energy efficiency over the benchmark.

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Acknowledgments

This work was supported by National Natural Science Foundation of China under Grant No. 61671183 and Grant No. 61371100.

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Correspondence to Min Jia .

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Wang, X., Jia, M., Guo, Q., Han, Y., Yuan, W. (2019). Uplink Joint Resource Reallocation in a Multi-homing Heterogeneous System Based on Cognitive Radio. In: Liang, Q., Mu, J., Jia, M., Wang, W., Feng, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2017. Lecture Notes in Electrical Engineering, vol 463. Springer, Singapore. https://doi.org/10.1007/978-981-10-6571-2_4

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  • DOI: https://doi.org/10.1007/978-981-10-6571-2_4

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6570-5

  • Online ISBN: 978-981-10-6571-2

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