Evaluation of Energy-Efficiency Problem in Orthogonal Frequency Division Multiple Access Cellular Networks

Abstract

In this study, the energy-efficiency (EE) problem is investigated for downlink Orthogonal Frequency Division Multiple Access (OFDMA) cellular networks. The EE maximization problem is defined under certain prescribed per-user quality-of-service (QoS) demands and maximum system power limit. EE metric that aims to maximize the system data rate and minimize the total power consumption at the same time is used as the objective function of the defined problem. In this form the optimization problem belongs to a broad class of problems called mixed-integer non-linear programming problem (MINLP), that is difficult to solve in its original form in such a multi-carrier, multi-user networks. Hence, we have decomposed the original problem into two parts and presented a solution that performs subchannel allocation and power allocation parts separately. Simulation results are obtained to confirm the performance of the presented scheme in terms of energy-efficiency and total data rate.

Keywords

• Energy-Efficiency,OFDMA,Cellular Networks

References

1. 1. Ericsson Mobility Report, February 2018. https://www.ericsson.com/assets/local/mobilityreport/documents/2018/emr-interim-feb-2018.pdf. (Accesced at 17.04.2018)
2. 2. Fettweis G. P., Zimmermann E. ICT energy consumption-trends and challenges, proceedings of the 11th Int. Symp. Wireless Pers. Multimedia Commun. (WPMC), 2008, pp 1-4.
3. 3. Ulukus S., Yener A., Erkip E., Simeone O., Zorzi M., Grover P., Huang K. 2015. Energy harvesting wireless communications: A review of recent advances. IEEE Journal on Selected Areas in Communications; 33(3): 360-381.
4. 4. Xiao L., Wang P., Niyato D., Kim D.I., Han Z. 2015. Wireless networks with RF energy harvesting: A contemporary survey. IEEE Communications Surveys & Tutorials; 17(2): 757-789.
5. 5. Feng D., Jiang C., Lim G., Cimini L.J., Feng G., Li G. Y. 2013. A survey of energy-efficient wireless communications. IEEE Communications Surveys & Tutorials; 15(1): 167-178.
6. 6. Wu G., Yang C., Li S., Li G. Y. 2015. Recent advances in energy-efficient networks and their application in 5G systems. IEEE Wireless Communications; 22(2) : 145-151.
7. 7. Kivanc D., Li G., Liu H. 2003. Computationally efficient bandwidth allocation and power control for OFDMA. IEEE Transactions on Wireless Communications; 2(6): 1150–1158.
8. 8. Seong K., Mohseni M., Cioffi J. M. Optimal resource allocation for OFDMA downlink systems, proceedings of IEEE International Symposium on Information Theory, Seattle, USA, 2006, pp 1394-1398.

9. 9. Mao Z., Wang X. Efficient optimal and suboptimal radio resource allocation in OFDMA system. 2008. IEEE Transactions on Wireless Communications; 7(2): 440-445.
10. 10. Lin Y.-B., Chiu T.-H., Su Y. 2009. Optimal and near-optimal resource allocation algorithms for ofdma networks. IEEE Transactions on Wireless Communications; 8(8): 4066-4077.
11. 11. Awad M., Mahinthan V., Mehrjoo M., Shen X., Mark J. 2010. A dual decomposition-based resource allocation for OFDMA networks with imperfect CSI. IEEE Transactions on Vehicular Technology;59(5): 2394-2403.
12. 12. Basturk I., Ozbek B. Fairness aware resource allocation for downlink MISO-OFDMA systems, proceedings of IEEE Wireless Communications and Networking Conference, Paris, France, 2012, pp 188-192.
13. 13. Xiong C., Li G. Y., Zhang S., Chen Y., Xu S. 2011. Energy-and spectral efficiency trade off in downlink OFDMA networks. IEEE Transactions on Wireless Communications; 10(11): 3874-3886.
14. 14. Xiong C., Li G. Y., Zhang S., Chen Y., Xu S. Energy-Efficient Resource Allocation in OFDMA Networks. IEEE Transactions on Communications, 2012, 60(12), 3767-3778.
15. 15. Ren Z., Chen S., Hu B., Ma. W. 2014. Energy-efficient resource allocation in downlink OFDM wireless systems with proportional rate constraints. IEEE Transactions on Vehicular Technology; 63(5): 2139-2150.
16. 16. Haider F., Wang C. X., Haas H., Hepsaydır E., Ge X. Energy-Efficient Subcarrier-and-Bit Allocation in Multi-User OFDMA Systems, proceedings of IEEE 75th Vehicular Technology Conference, Yokohama, 2012, pp 1-5.
17. 17. Abrão T., Sampaio L. D. H., Yang S., Cheung K. T. K., Jeszensky P. J. E., Hanzo L. 2016. Energy Efficient OFDMA Networks Maintaining Statistical QoS Guarantees for Delay-Sensitive Traffic. IEEE Access;4: 774-791.
18. 18. Sokun H. U., Bedeer E., Gohary R. H., Yanikomeroglu H. 2017. Optimization of Discrete Power and Resource Block Allocation for Achieving Maximum Energy Efficiency in OFDMA Networks. IEEE Access; 5: 8648-8658.
19. 19. Dinkelbach W. 1967. On nonlinear fractional programming. Management Science; 13(7): 492-498.