In this paper, a resource allocation algorithm for maximizing the weighted sum energy efficiency (EE) is investigated in orthogonal frequency division multiple access (OFDMA) heterogeneous networks (Het-Nets). We aim to balance the EE of macro cell and low power nodes by subchannel and power allocations. We formulate the problem as a nonlinear sum-of-ratios programming issue, and guarantee data rate requirements of users by using minimum rate constraints. Due to the nonconvexity of the problem, we develop a heuristic subchannel assignment algorithm, and then solve the power allocation problem by parameterized transformations and a first-order approximation based on an iterative algorithm. Numerical results illustrate the convergence and the effectiveness of the proposed algorithm.
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Fehske A, Malmodin J, Biczok G, et al. The global footprint of mobile communications: the ecological and economic perspective. IEEE Commun Mag, 2011, 49: 55–62
3GPP. Further Advancements for E-UTRA, Physical Layer Aspects. 3GPP TR 36.814 V9.0.0, 2010
New W L, Wang X M, Zheng F C, et al. Energy-efficient base station cooperation in downlink heterogeneous cellular networks. In: Proceedings of IEEE Global Telecommunication Conference, Austin, 2014. 1779–1784
Tong E, Ding F, Pan Z W, et al. An energy minimization algorithm based on distributed dynamic clustering for long term evolution (LTE) heterogeneous networks. Sci China Inf Sci, 2015, 58: 042307
Li Q C, Hu R Q, Xu Y R, et al. Optimal fractional frequency reuse and power control in the heterogeneous wireless networks. IEEE Trans Wirel Commun, 2013, 12: 2658–2668
Zhang H J, Jiang C X, Beaulieu N C, et al. Resource allocation in spectrum-sharing OFDMA femtocells with heterogeneous services. IEEE Trans Commun, 2014, 62: 2366–2376
Ngo N T, Khakurel S, Le-Ngoc T. Joint subchannel assignment and power allocation for OFDMA femtocell networks. IEEE Trans Wirel Commun, 2014, 13: 342–354
Hasan M, Hossain E. Distributed resource allocation in 5G cellular networks. arXiv preprint, 2014, arXiv:1409.2475
Sun X, Wang S W. Resource allocation scheme for energy saving in heterogeneous networks. IEEE Trans Wirel Commun, 2015, 14: 4407–4416
Chai X M, Zhang Z S, Long K P. Joint spectrum-sharing and base station sleep model for improving energy efficiency of heterogeneous networks. IEEE Syst J, 2015, doi:10.1109/JSYST.2015.2470556
Nie W L, Zheng F C, Wang X M, et al. User-centric cross-tier base station clustering and cooperation in heterogeneous networks: rate improvement and energy saving. IEEE J Sel Area Commun, 2016, 34: 1192–1206
Soh Y S, Quek T Q S, Kountouris M, et al. Energy efficient heterogeneous cellular networks. IEEE J Sel Area Commun, 2013, 31: 840–850
Peng M G, Zhang K C, Jiang J M, et al. Energy-efficient resource assignment and power allocation in heterogeneous cloud radio access networks. IEEE Trans Veh Technol, 2015, 64: 5275–5287
Xiao H L, Shan Q Y. Power control game in multi-source multirelay cooperative communication systems with qualityof- service constraint. IEEE Trans Intell Transport Syst, 2015, 16: 41–50
Ma X, Sheng M, Li J D, et al. Interference migration using concurrent transmission for energy-efficient HetNets. Sci China Inf Sci, 2016, 59: 022311
Wang X M, Zheng F C, Zhu P C, et al. Energy-efficient resource allocation in coordinated downlink multicell OFDMA systems. IEEE Trans Veh Technol, 2016, 65: 1395–1408
Wang X M, Zheng F C, Zhu P C, et al. Energy-efficient resource allocation for OFDMA relay systems with imperfect CSIT. Sci China Inf Sci, 2015, 58: 082311
Sakr A H, Hossain E. Energy-efficient downlink transmission in two-tier network MIMO OFDMA networks. In: Proceedings of IEEE International Conference on Communications, Sydney, 2014. 3652–3657
He S W, Huang Y M, Yang L X, et al. Coordinated multicell multiuser precoding for maximizing weighted sum energy efficiency. IEEE Trans Signal Process, 2014, 62: 741–751
Jong Y C. An efficient global optimization algorithm for nonlinear sum-of-ratios problem. Optimizaiton Online, 2012. http://www.optimization-online.org/DBFILE/2012/08/3586.pdf
Kha H H, Tuan H D, Nguyen H H. Fast global optimal power allocation in wireless networks by local D.C. programming. IEEE Trans Wirel Commun, 2012, 11: 510–515
Yu W, Lui R. Dual methods for nonconvex spectrum optimization of multicarrier systems. IEEE Trans Commun, 2006, 54: 1310–1322
Boyd S, Vandenberghe L. Convex Optimization. Cambridge: Cambridge University Press, 2004
This work was supported by Nanjing University of Posts and Telecommunications Scientific Foundation (Grant No. NY216007), National Basic Research Program of China (973) (Grant No. 2012CB316 004), and Huawei Innovation Research Program.
Conflict of interest The authors declare that they have no conflict of interest.
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Wang, X., Zheng, F., Jia, X. et al. Resource allocation in OFDMA heterogeneous networks for maximizing weighted sum energy efficiency. Sci. China Inf. Sci. 60, 062304 (2017). https://doi.org/10.1007/s11432-016-0425-3
- resource allocation
- energy efficiency
- heterogeneous network
- interference management