Robust Distributed Power Control with Resource Allocation in D2D Communication Network for 5G-IoT Communication System

Full Text (PDF, 261KB), PP.73-81

Views: 0 Downloads: 0


K. Pandey 1,* R. Arya 1

1. Wireless Sensor Networks Lab, Department of Electronics and Communication Engineering, National Institute of Technology Patna, Patna, Bihar, 800005, India

* Corresponding author.


Received: 4 Mar. 2022 / Revised: 22 May 2022 / Accepted: 26 Jul. 2022 / Published: 8 Oct. 2022

Index Terms

Device to Device (D2D), Robust distributed power control (RDPC), Quality of Service (QoS), Energy efficiency, Resource allocation, Internet of Things (IoT)


In the domain of communication technologies, the Device-to-Device (D2D) communication becomes a predominant technology for the implementation of 5G communication system and Internet of Things (IoT) applications. In D2D communication Network, resource allocation and power management are the key areas of interest with ensuring the Quality of Services (QoS). Firstly, we propose the power control problem which is a non-convex problem. By using the log transformation approach, the non-convex problem converts into the convex optimization problem. Robust distributed power control method is further utilized for the power optimization at both ends (base station and D2D user) for underlay Inband D2D communication, where the cellular user and D2D user both use the cellular spectrum. After the power control, resource allocation is done to maximize the energy efficiency by 66.67% for the D2D system. Our proposed work provides new insight to power control techniques in D2D communication. Numerical analysis of the proposed algorithm reflects the impact of robust distributed power control for maintaining the quality of services and enhancing the energy efficiency of the system.

Cite This Paper

K. Pandey, R. Arya, "Robust Distributed Power Control with Resource Allocation in D2D Communication Network for 5G-IoT Communication System", International Journal of Computer Network and Information Security(IJCNIS), Vol.14, No.5, pp.73-81, 2022. DOI:10.5815/ijcnis.2022.05.06


[1]P. Pawar, A. Trivedi, and A. Trivedi, “Device-to-Device Communication Based IoT System : Benefits and Challenges Device-to-Device Communication Based IoT System : Benefits and Challenges Praveen Pawar & Aditya Trivedi,” IETE Tech. Rev., vol. 0, no. 0, pp. 1–13, 2018, doi: 10.1080/02564602.2018.1476191.
[2]Emoghene Ogidiaka, Francisca Nonyelum Ogwueleka, Martins Ekata Irhebhude, "Game-Theoretic Resource Allocation Algorithms for Device-to-Device Communications in Fifth Generation Cellular Networks: A Review", International Journal of Information Engineering and Electronic Business, Vol.13, No.1, pp. 44-51, 2021.
[3]M. Robat Mili, P. Tehrani, and M. Bennis, “Energy-Efficient Power Allocation in OFDMA D2D Communication by Multiobjective Optimization,” IEEE Wirel. Commun. Lett., vol. 5, no. 6, pp. 668–671, 2016, doi: 10.1109/LWC.2016.2614507.
[4]C. Yang, J. Li, P. Semasinghe, E. Hossain, S. M. Perlaza, and Z. Han, “Distributed Interference and Energy-Aware Power Control for Ultra-Dense D2D Networks: A Mean Field Game,” IEEE Trans. Wirel. Commun., 2017, doi: 10.1109/TWC.2016.2641959.
[5]Ravindra S, Siddesh G K, "Interference Mitigation and Mobility Management for D2D Communication in LTE-A Networks", International Journal of Wireless and Microwave Technologies, Vol.9, No.2, pp. 20-31, 2019.
[6]D. Verenzuela and G. Miao, “Scalable D2D Communications for Frequency Reuse >> 1 in 5G,” IEEE Trans. Wirel. Commun., vol. 16, no. 6, pp. 3435–3447, 2017, doi: 10.1109/TWC.2017.2679001.
[7]H. Takshi, G. Doǧan, and H. Arslan, “Joint Optimization of Device to Device Resource and Power Allocation Based on Genetic Algorithm,” IEEE Access, vol. 6, pp. 21173–21183, 2018, doi: 10.1109/ACCESS.2018.2826048.
[8]L. Han, Y. Zhang, X. Zhang, and J. Mu, “Power Control for Full-Duplex D2D Communications Underlaying Cellular Networks,” IEEE Access, vol. 7, pp. 111858–111865, 2019, doi: 10.1109/ACCESS.2019.2934479.
[9]H. Sun, D. Zhai, Z. Zhang, J. Du, and Z. Ding, “Channel allocation and power control for device-to-device communications underlaying cellular networks incorporated with non-orthogonal multiple access,” IEEE Access, vol. 7, pp. 168593–168605, 2019, doi: 10.1109/ACCESS.2019.2954467.
[10]A. Ibrahim, T. M. N. Ngatched, and O. A. Dobre, “Using Bender’s Decomposition for Optimal Power Control and Routing in Multihop D2D Cellular Systems,” IEEE Trans. Wirel. Commun., vol. 18, no. 11, pp. 5050–5064, 2019, doi: 10.1109/TWC.2019.2931977.
[11]Mohammad Hossein Faridi, Ali Jafari, Ensieh Dehghani, "An Efficient Distributed Power Control in Cognitive Radio Networks", International Journal of Information Technology and Computer Science, Vol.8, No.1, pp.48-53, 2016.
[12]H. V. Vu, N. H. Tran, and T. Le-Ngoc, “Full-Duplex Device-to-Device Cellular Networks: Power Control and Performance Analysis,” IEEE Trans. Veh. Technol., vol. 68, no. 4, pp. 3952–3966, 2019, doi: 10.1109/TVT.2019.2898999.
[13]L. Han, R. Zhou, Y. Li, B. Zhang, and X. Zhang, “Power Control for Two-Way AF Relay Assisted D2D Communications Underlaying Cellular Networks,” IEEE Access, vol. 8, pp. 151968–151975, 2020, doi: 10.1109/ACCESS.2020.3017799.
[14]J. Kim, J. Park, J. Noh, and S. Cho, “Autonomous Power Allocation Based on Distributed Deep Learning for Device-to-Device Communication Underlaying Cellular Network,” IEEE Access, vol. 8, pp. 107853–107864, 2020, doi: 10.1109/ACCESS.2020.3000350.
[15]H. Yang, Y. Ye, X. Chu, and M. Dong, “Resource and Power Allocation in SWIPT-Enabled Device-to-Device Communications Based on a Nonlinear Energy Harvesting Model,” IEEE Internet Things J., vol. 7, no. 11, pp. 10813–10825, 2020, doi: 10.1109/JIOT.2020.2988512.
[16]S. K. Rashed, R. Asvadi, S. Rajabi, S. A. Ghorashi, and M. G. Martini, “Power Allocation for D2D Communications Using Max-Min Message-Passing Algorithm,” IEEE Trans. Veh. Technol., vol. 69, no. 8, pp. 8443–8458, 2020, doi: 10.1109/TVT.2020.2995534.
[17]H. H. Chang et al., “Resource Allocation for D2D Cellular Networks with QoS Constraints: A DC Programming-based Approach,” IEEE Access, vol. PP, p. 1, 2021, doi: 10.1109/ACCESS.2021.3132260.
[18]Z. Ji, A. K. Kiani, Z. Qin, and R. Ahmad, “Power Optimization in Device-to-Device Communications: A Deep Reinforcement Learning Approach with Dynamic Reward,” IEEE Wirel. Commun. Lett., vol. 10, no. 3, pp. 508–511, 2021, doi: 10.1109/LWC.2020.3035898.
[19]N. Su and Q. Zhu, “Power control and channel allocation algorithm for energy harvesting D2D communications,” Algorithms, vol. 12, no. 5, pp. 1–12, 2019, doi: 10.3390/a12050093.
[20]P. Khuntia and R. Hazra, “An Efficient Channel and Power Allocation Scheme for D2D Enabled Cellular Communication System: An IoT Application,” IEEE Sens. J., vol. 21, no. 22, pp. 25340–25351, 2021, doi: 10.1109/JSEN.2021.3060616.
[21]W. Lee, T. Ban, B. C. Jung, and S. Member, “Distributed Transmit Power Optimization for Device-to-Device Communications Underlying Cellular Networks,” IEEE Access, vol. 7, pp. 87617–87633, 2019, doi: 10.1109/ACCESS.2019.2926310.
[22]G. Zhang, J. Hu, W. Heng, X. Li, and G. Wang, “Distributed Power Control for D2D Communications Underlaying Cellular Network Using Stackelberg Game,” 2017.
[23]K. Pandey, “Lyapunov optimization machine learning resource allocation approach for uplink underlaid D2D communication in 5G,” no. March, pp. 1–9, 2021, doi: 10.1049/cmu2.12264.
[24]K. Pandey, R. Arya, and S. Kumar, “Lagrange’s multiplier based resource management for energy efficient D2D communication in 5G networks,” Int. J. Syst. Assur. Eng. Manag., 2021, doi: 10.1007/s13198-020-01045-z.
[25]C. W. Tan, D. P. Palomar, and M. Chiang, “Exploiting Hidden Convexity For Flexible And Robust Resource Allocation In Cellular Networks,” in IEEE INFOCOM 2007 - 26th IEEE International Conference on Computer Communications, 2007, pp. 964–972, doi: 10.1109/INFCOM.2007.117.
[26]B. Jiang, S. Wu, and J. Wang, “Research on Power Control of D2D Communication System in 5G Network,” vol. 29, no. 6, pp. 111–120, 2018, doi: 10.3966/199115992018122906010.