Abstract
In this paper, we focus on the joint optimization of scheduling and power control to achieve effective concurrent transmission. Under constraints, we describe the optimization problem as a scheduling problem based on power control. In order to solve the complexity problem, we have determined the best power control strategy in the large network area. Using the dual-link communication architecture, we decompose the optimization problem into two sub-problems, namely power control and link scheduling. By solving two sub-problems, we have determined the best link scheduling and power control mechanism suitable for the actual network environment. We realize efficient concurrent transmission based on the optimal solution obtained by joint optimization to effectively utilize network resources and improve energy efficiency. The simulation results prove the effectiveness of the scheme. Compared with existing solutions, the joint optimization solution has obvious advantages in terms of network throughput and energy consumption.
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References
Jaipriya, S., Malathy, S., Srinivasan, K., Priyanka, B., Charliene Karunya, L.: A frame-work for energy optimization in wireless sensor nodes at Ad-Hoc network. In: 2018 2nd International Conference on I-SMAC, pp. 419–422 (2018)
Sivabalan, S., Rathipriya, R.: Slot scheduling Mac using energy efficiency in ad hoc wireless networks. In: 2017 International Conference on Inventive Communication and Computational Technologies (ICICCT), Coimbatore, pp. 430–434 (2017)
Li, H., Cheng, Y., Zhou, C., Wan, P.: Multi-dimensional conflict graph based computing for optimal capacity in MR-MC wireless networks. In: Proceedings of IEEE International Conference Distribution Computing System, pp. 774–783 (2010)
Jiang, Y., et al.: Joint power and bandwidth allocation for energy-efficient heterogeneous cellular networks. IEEE Trans. Commun. 67(9), 6168–6178 (2019)
Lu, L., He, D., Xingxing, Y., Li, G.Y.: Energy-efficient resource allocation for cognitive radio networks. In: Proceedings of IEEE Global Communication Conference, pp. 1026–1031 (2013)
Wang, S., Wang, C.: Joint optimization of spectrum and energy efficiency in cognitive radio networks. Digit. Commun. Netw. 1(3), 161–170 (2015)
Anderson, E., Phillips, C., Sicker, D., Grunwald, D.: Optimization decomposition for scheduling and system configuration in wireless networks. IEEE/ACM Trans. Netw. 22(1), 271–284 (2014)
Li, M., Li, P., Huang, X., Fang, Y., Glisic, S.: Energy consumption optimization for multihop cognitive cellular networks. IEEE Trans. Mobile Comput. 14(2), 358–372 (2015)
Zhao, Y., Li, Y., Zhang, H., Ge, N., Lu, J.: Fundamental tradeoffs on energy-aware D2D communication underlaying cellular networks: a dynamic graph approach. IEEE J. Sel. Areas Commun. 34(4), 864–882 (2016)
Kim, T.S., Lim, H., Hou, J.C.: Understanding and improving the spatial reuse in multihop wireless networks. IEEE Trans. Mobile Comput. 7(10), 1200–1212 (2008)
Background
This work was supported in part by the National Natural Science Foundation of China (No. 61902182), the Natural Science Foundation of Jiangsu Province of China (No. BK20190409), the Aeronautical Science Foundation of China (No. 2016ZC52029), Qing Lan Project of Jiangsu Province of China, China Postdoctoral Science Foundation (No. 2019TQ0153), and the Foundation of CETC Key Laboratory of Aerospace Information Applications of China (No. SXX18629T022). The authors are with the College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 210,016, China.
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Feng, Z., Song, X., Lei, L. (2021). Efficient Concurrent Transmission Scheme for Wireless Ad Hoc Networks: A Joint Optimization Approach. In: Liu, Z., Wu, F., Das, S.K. (eds) Wireless Algorithms, Systems, and Applications. WASA 2021. Lecture Notes in Computer Science(), vol 12938. Springer, Cham. https://doi.org/10.1007/978-3-030-86130-8_44
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DOI: https://doi.org/10.1007/978-3-030-86130-8_44
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