Energy-Efficient Resource Allocation in OFDMA Systems with Large Numbers of Base Station Antennas

In this paper, resource allocation for energy-efficient communication in an orthogonal frequency division multiple access (OFDMA) downlink network with a large number of transmit antennas is studied. The considered problem is modeled as a non-convex optimization problem which takes into account the circuit power consumption, imperfect channel state information at the transmitter (CSIT), and different quality of service (QoS) requirements including a minimum required data rate and a maximum tolerable channel outage probability. The power allocation, data rate adaptation, antenna allocation, and subcarrier allocation policies are optimized for maximization of the energy efficiency of data transmission (bit/Joule delivered to the users). By exploiting the properties of fractional programming, the resulting non-convex optimization problem in fractional form is transformed into an equivalent optimization problem in subtractive form, which leads to an efficient iterative resource allocation algorithm. In each iteration, the objective function is lower bounded by a concave function which can be maximized by using dual decomposition. Simulation results illustrate that the proposed iterative resource allocation algorithm converges in a small number of iterations and demonstrate the trade-off between energy efficiency and the number of transmit antennas.

[1]  Babak Daneshrad,et al.  Energy-Constrained Link Adaptation for MIMO OFDM Wireless Communication Systems , 2010, IEEE Transactions on Wireless Communications.

[2]  Geoffrey Ye Li,et al.  Energy-Efficient Transmission in Frequency-Selective Channels , 2008, IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference.

[3]  Khaled Ben Letaief,et al.  Multiuser OFDM with adaptive subcarrier, bit, and power allocation , 1999, IEEE J. Sel. Areas Commun..

[4]  I. Stancu-Minasian.  Nonlinear Fractional Programming , 1997 .

[5]  Wei Yu,et al.  FDMA capacity of Gaussian multiple-access channels with ISI , 2002, IEEE Trans. Commun..

[6]  Giuseppe Caire,et al.  Asymptotic Performance of Linear Receivers in MIMO Fading Channels , 2008, IEEE Transactions on Information Theory.

[7]  Vijay K. Bhargava,et al.  Energy-efficient power allocation in OFDM-based cognitive radio systems: A risk-return model , 2009, IEEE Transactions on Wireless Communications.

[8]  Wai Ho Mow,et al.  Adaptive Resource Allocation and Capacity Comparison of Downlink Multiuser MIMO-MC-CDMA and MIMO-OFDMA , 2007, IEEE Transactions on Wireless Communications.

[9]  Sriram Vishwanath,et al.  Channel Estimation and Linear Precoding in Multiuser Multiple-Antenna TDD Systems , 2008, IEEE Transactions on Vehicular Technology.

[10]  Reza Hoshyar,et al.  Energy-efficient resource allocation in wireless OFDMA systems , 2010, 21st Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications.

[11]  S. Schaible.  Fractional Programming. II, On Dinkelbach's Algorithm , 1976 .

[12]  Jeffrey G. Andrews,et al.  Rethinking MIMO for Wireless Networks: Linear Throughput Increases with Multiple Receive Antennas , 2009, 2009 IEEE International Conference on Communications.

[13]  Jamie S. Evans,et al.  Scaling results on the sum capacity of cellular networks with MIMO links , 2006, IEEE Transactions on Information Theory.

[14]  Wayne E. Stark,et al.  Energy-Bandwidth Efficiency Tradeoff in MIMO Multi-Hop Wireless Networks , 2011, IEEE Journal on Selected Areas in Communications.

[15]  Geoffrey Ye Li,et al.  Energy-efficient link adaptation in frequency-selective channels , 2010, IEEE Transactions on Communications.

[16]  Babak Daneshrad,et al.  Energy-Efficient Power Loading for a MIMO-SVD System and Its Performance in Flat Fading , 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.

[17]  Andrea J. Goldsmith,et al.  On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming , 2006, IEEE Journal on Selected Areas in Communications.

[18]  Carlo Fischione,et al.  Utility Maximization via Power and Rate Allocation with Outage Constraints in Nakagami-Lognormal Channels , 2011, IEEE Transactions on Wireless Communications.

[19]  Peng Li,et al.  Multiple output selection-LAS algorithm in large MIMO systems , 2010, IEEE Communications Letters.

[20]  Roger S. Cheng,et al.  Capacity Maximization for Zero-Forcing MIMO-OFDMA Downlink Systems with Multiuser Diversity , 2007, IEEE Transactions on Wireless Communications.

[21]  David Tse,et al.  Fundamentals of Wireless Communication , 2005 .

[22]  Gerhard Fettweis,et al.  Power consumption modeling of different base station types in heterogeneous cellular networks , 2010, 2010 Future Network & Mobile Summit.

[23]  Fan Zhang,et al.  Resource Allocation for Delay Differentiated Traffic in Multiuser OFDM Systems , 2006, IEEE Transactions on Wireless Communications.

[24]  Tarcisio F. Maciel,et al.  On the Performance, Complexity, and Fairness of Suboptimal Resource Allocation for Multiuser MIMO–OFDMA Systems , 2010, IEEE Transactions on Vehicular Technology.

[25]  Martin Haenggi,et al.  Interference and Outage in Clustered Wireless Ad Hoc Networks , 2007, IEEE Transactions on Information Theory.

[26]  Stephen P. Boyd,et al.  Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.

[27]  Jianhua Lu,et al.  An energy-efficient hybrid structure with resource allocation in OFDMA networks , 2011, 2011 IEEE Wireless Communications and Networking Conference.

[28]  Stephen P. Boyd,et al.  Subgradient Methods , 2007 .

[29]  Stavros A. Kotsopoulos,et al.  User selection and resource allocation algorithm with fairness in MISO-OFDMA , 2010, IEEE Communications Letters.

[30]  Gerhard Fettweis,et al.  Energy-efficient link adaptation with transmitter CSI , 2011, 2011 IEEE Wireless Communications and Networking Conference.

[31]  R. V. Raja Kumar,et al.  How green the LTE technology can be? , 2011, 2011 2nd International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace & Electronic Systems Technology (Wireless VITAE).

[32]  Hlaing Minn,et al.  A Novel OFDMA Ranging Method Exploiting Multiuser Diversity , 2007, IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference.

[33]  Andrea J. Goldsmith,et al.  Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks , 2004, IEEE Journal on Selected Areas in Communications.

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

[35]  Gerhard Fettweis,et al.  Energy-Efficient Multi-Carrier Link Adaptation with Sum Rate-Dependent Circuit Power , 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.

[36]  Ying-Chang Liang,et al.  Optimal Resource Allocation for Multiuser MIMO-OFDM Systems With User Rate Constraints , 2009, IEEE Transactions on Vehicular Technology.

[37]  Thomas L. Marzetta,et al.  Noncooperative Cellular Wireless with Unlimited Numbers of Base Station Antennas , 2010, IEEE Transactions on Wireless Communications.

[38]  Derrick Wing Kwan Ng,et al.  Energy-Efficient Resource Allocation in OFDMA Systems with Large Numbers of Base Station Antennas , 2012, IEEE Trans. Wirel. Commun..