Energy-Efficient Resource Allocation for Adaptive Modulated MIMO–OFDM Heterogeneous Cloud Radio Access Networks

In this paper, an optimal resource allocation method in multiple-input multiple-output-orthogonal frequency division multiplexing heterogeneous cloud radio access network is proposed for downlink transmission. Our problem formulation takes into account inter-tier interference and quality of service requirement for RRH/HPN association policy. We formulate two non-convex optimization problems for resource block (RB) assignment and power allocation, and then solve both problems using their equivalent convex feasibility problems. By considering Lagrange dual decomposition technique, a closed form expression for joint power and RB allocation in order to improve energy efficiency (EE) is derived. In addition, the adaptive modulation is investigated to realize practical scenario. Finally, the efficiency of the proposed algorithms in enhancing EE is confirmed through Monte Carlo simulations.

[1]  Sebastian Aust,et al.  Modulation-mode assignment in SVD-assisted multiuser MIMO-OFDM systems , 2011, Proceedings of the International Conference on Wireless Information Networks and Systems.

[2]  Wei Yu,et al.  Dual methods for nonconvex spectrum optimization of multicarrier systems , 2006, IEEE Transactions on Communications.

[3]  Andrea J. Goldsmith,et al.  Degrees of freedom in adaptive modulation: a unified view , 2001, IEEE Trans. Commun..

[4]  Wen-Qin Wang,et al.  Energy-efficient antenna selection in green MIMO relaying communication systems , 2016, Journal of Communications and Networks.

[5]  Guangxi Zhu,et al.  Adaptive subcarrier and bit allocation for multiuser MIMO-OFDM transmission , 2004, 2004 IEEE 59th Vehicular Technology Conference. VTC 2004-Spring (IEEE Cat. No.04CH37514).

[6]  Tingting Zhou,et al.  Discrete-Rate Adaptive Modulation for MIMO-OFDM Systems with Space-Frequency Block Code in Rayleigh Fading Channels , 2012, 2012 Spring Congress on Engineering and Technology.

[7]  Ashish Pandharipande,et al.  Adaptive modulation for MIMO-OFDM systems , 2004, IEEE 60th Vehicular Technology Conference, 2004. VTC2004-Fall. 2004.

[8]  Mamoru Sawahashi,et al.  Coordinated multipoint transmission/reception techniques for LTE-advanced [Coordinated and Distributed MIMO] , 2010, IEEE Wireless Communications.

[9]  Le Chung Tran,et al.  Antenna Selection Strategies for MIMO-OFDM Wireless Systems: An Energy Efficiency Perspective , 2016, IEEE Transactions on Vehicular Technology.

[10]  Yonggang Wen,et al.  Cloud radio access network (C-RAN): a primer , 2015, IEEE Network.

[11]  Xun Sun,et al.  Resource Allocation Scheme for Energy Saving in Heterogeneous Networks , 2015, IEEE Transactions on Wireless Communications.

[12]  Mikael Gidlund,et al.  A Sub-optimal Eigenvalue-Based Adaptive Modulation Scheme for Broadband MIMO-OFDM Systems , 2008, 6th Annual Communication Networks and Services Research Conference (cnsr 2008).

[13]  Yiqing Zhou,et al.  Coordinated Multipoint Transmission in Dense Cellular Networks With User-Centric Adaptive Clustering , 2014, IEEE Transactions on Wireless Communications.

[14]  Chau Yuen,et al.  Energy Efficiency Tradeoff Mechanism Towards Wireless Green Communication: A Survey , 2016, IEEE Communications Surveys & Tutorials.

[15]  Min Chen,et al.  Energy-Efficiency Optimization for MIMO-OFDM Mobile Multimedia Communication Systems With QoS Constraints , 2014, IEEE Transactions on Vehicular Technology.

[16]  Werner Dinkelbach.  On Nonlinear Fractional Programming , 1967 .

[17]  Yuyu Yan,et al.  Performance evaluation of coordinated multipoint reception in CRAN under LTE-Advanced uplink , 2012, 7th International Conference on Communications and Networking in China.

[18]  H. Vincent Poor,et al.  Energy-Efficient Resource Allocation Optimization for Multimedia Heterogeneous Cloud Radio Access Networks , 2016, IEEE Transactions on Multimedia.

[19]  Jiaheng Wang,et al.  Energy-Efficient Resource Assignment and Power Allocation in Heterogeneous Cloud Radio Access Networks , 2014, IEEE Transactions on Vehicular Technology.

[20]  Jie Xu,et al.  Energy Efficiency Optimization for MIMO Broadcast Channels , 2013, IEEE Transactions on Wireless Communications.

[21]  John M. Cioffi,et al.  Optimal Resource Allocation for OFDMA Downlink Systems , 2006, 2006 IEEE International Symposium on Information Theory.

[22]  Geoffrey Ye Li,et al.  A survey of energy-efficient wireless communications , 2013, IEEE Communications Surveys & Tutorials.

[23]  Wessam Ajib,et al.  Discrete-Rate Adaptive Multiuser Scheduling for MIMO-OFDM Systems , 2008, 2008 IEEE 68th Vehicular Technology Conference.

[24]  Michael S. Berger,et al.  Cloud RAN for Mobile Networks—A Technology Overview , 2015, IEEE Communications Surveys & Tutorials.

[25]  Ta-Sung Lee,et al.  Joint Power and Admission Control for Spectral and Energy Efficiency Maximization in Heterogeneous OFDMA Networks , 2016, IEEE Transactions on Wireless Communications.

[26]  Hongwei Yang.  A road to future broadband wireless access: MIMO-OFDM-Based air interface , 2005, IEEE Communications Magazine.

[27]  M. Dohler,et al.  MIMO systems with adaptive modulation , 2004, IEEE Transactions on Vehicular Technology.

[28]  N. P. Kumar.  Energy-Efficient Resource Allocation in OFDMA Systems with Large Numbers of Base Station Antennas , 2017 .

[29]  Jie Tang,et al.  Resource Allocation for Energy Efficiency Optimization in Heterogeneous Networks , 2015, IEEE Journal on Selected Areas in Communications.

[30]  Muhammad Ali Imran,et al.  EARTH — Energy Aware Radio and Network Technologies , 2009, 2009 IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications.