Cross-Entropy-Based Energy-Efficient Radio Resource Management in HetNets with Coordinated Multiple Points

Energy efficiency and spectrum efficiency are the most important issues for future mobile systems. Heterogeneous networks (HetNets) with coordinated multiple points (CoMP) are wildly approved as a promising solution to meet increasing demands of mobile data traffic and to reduce energy consumptions. However, hyper-dense deployments and complex coordination mechanisms introduce several challenges in radio resource management (RRM) of mobile communication systems. To address this issue, we present an RRM approach for CoMP-based HetNets, which aims to maximize weighted energy efficiency while guaranteeing the data rate of each transmission. The proposed RRM approach is based on a cross-entropy (CE) optimization method that is an effective and low-complexity heuristic algorithm. Furthermore, we also give the implementations of the proposed RRM approach in centralized and decentralized mode, respectively. At last, extensive simulations are conducted to validate the effectiveness of the proposed schemes.

[1]  Sang Joon Kim,et al.  A Mathematical Theory of Communication , 2006 .

[2]  Stefania Sesia,et al.  LTE - The UMTS Long Term Evolution, Second Edition , 2011 .

[3]  Christian Vitale,et al.  Energy-efficient user association in extremely dense small cell networks , 2014, 2014 European Conference on Networks and Communications (EuCNC).

[4]  Xuemin Shen,et al.  Cloud assisted HetNets toward 5G wireless networks , 2015, IEEE Communications Magazine.

[5]  M Kobayashi,et al.  Green Small-Cell Networks , 2011, IEEE Vehicular Technology Magazine.

[6]  Jens Zander,et al.  Energy- and cost-efficient ultra-high-capacity wireless access , 2011, IEEE Wireless Communications.

[7]  Yongbin Wei,et al.  A survey on 3GPP heterogeneous networks , 2011, IEEE Wireless Communications.

[8]  Lars Thiele,et al.  Coordinated multipoint: Concepts, performance, and field trial results , 2011, IEEE Communications Magazine.

[9]  Daniel Pérez Palomar,et al.  A tutorial on decomposition methods for network utility maximization , 2006, IEEE Journal on Selected Areas in Communications.

[10]  Jeffrey G. Andrews,et al.  Adaptive resource allocation in multiuser OFDM systems with proportional rate constraints , 2005, IEEE Transactions on Wireless Communications.

[11]  Hsiao-Hwa Chen,et al.  Hierarchical cooperative relay based heterogeneous networks , 2011, IEEE Wireless Communications.

[12]  Klaus I. Pedersen,et al.  Performance Analysis of Enhanced Inter-Cell Interference Coordination in LTE-Advanced Heterogeneous Networks , 2012, 2012 IEEE 75th Vehicular Technology Conference (VTC Spring).

[13]  Reuven Y. Rubinstein,et al.  Optimization of computer simulation models with rare events , 1997 .

[14]  Wei Yu,et al.  Ieee Transactions on Wireless Communications, Accepted for Publication 1 Multicell Coordination via Joint Scheduling, Beamforming and Power Spectrum Adaptation , 2022 .

[15]  Sundeep Rangan Femto-macro cellular interference control with subband scheduling and interference cancelation , 2010, 2010 IEEE Globecom Workshops.

[16]  Matthew J. P. Baker Introduction to Downlink Physical Layer Design , 2011, LTE - The UMTS Long Term Evolution.

[17]  Mikko Valkama,et al.  System-level performance of LTE-Advanced with joint transmission and dynamic point selection schemes , 2012, EURASIP J. Adv. Signal Process..