Sum-rate maximization in OFDMA downlink systems: A joint subchannels, power, and MCS allocation approach

In this paper, by jointly considering subchannels, power, and Modulation and Coding Scheme (MCS) allocation, we address the sum-rate maximization problem in OFDMA downlink systems. We formulate the problem as an integer linear programming (ILP), which maximizes the system sum-rate subject to the minimum rate requirements of users and total transmit power constraint of base station. To solve the formulation with low complexity, we propose a two-level iterative Subchannels, Power, and MCS allocation Algorithm (SPMA) by exploiting Tabu Search (TS). At each iteration, the SPMA firstly assigns MCS to users and then allocates subchannels and power based on a SubChannels and Power allocation Algorithm (SCPA). Particularly, the SCPA maximizes the system sum-rate by first satisfying the minimum rate requirements with the least transmit power. Simulation results show that the SPMA outperforms the existing algorithms in terms of sum-rate and average rate per user, as well as demonstrate that the sum-rate is distributed flexibly among users in instantaneous channel conditions with the SPMA.

[1]  Peng Zhou,et al.  Efficient Adaptive Resource Allocation for Multiuser OFDM Systems with Minimum Rate Constraints , 2007, 2007 IEEE International Conference on Communications.

[2]  Geoffrey Ye Li,et al.  Adaptive Block-Level Resource Allocation in OFDMA Networks , 2011, 2011 Proceedings of 20th International Conference on Computer Communications and Networks (ICCCN).

[3]  Cyril Leung,et al.  Resource Allocation in an LTE Cellular Communication System , 2009, 2009 IEEE International Conference on Communications.

[4]  H. Kuhn.  The Hungarian method for the assignment problem , 1955 .

[5]  Bo Hu,et al.  Proportional Resource Allocation with Subcarrier Grouping in OFDM Wireless Systems , 2013, IEEE Communications Letters.

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

[7]  Wentao Zhao,et al.  Joint subchannel and power allocation in multiuser OFDM systems with minimal rate constraints , 2014, Int. J. Commun. Syst..

[8]  Hervé Rivano,et al.  Optimization method for the joint allocation of modulation schemes, coding rates, resource blocks and power in self-organizing LTE networks , 2011, 2011 Proceedings IEEE INFOCOM.

[9]  Guodong Zhang,et al.  Subcarrier and bit allocation for real-time services in multiuser OFDM systems , 2004, 2004 IEEE International Conference on Communications (IEEE Cat. No.04CH37577).

[10]  Min Sheng,et al.  Energy Efficiency and Spectral Efficiency Tradeoff in Interference-Limited Wireless Networks , 2013, IEEE Communications Letters.

[11]  Kwang Bok Lee,et al.  Transmit power adaptation for multiuser OFDM systems , 2003, IEEE J. Sel. Areas Commun..

[12]  Geoffrey Ye Li,et al.  Adaptive Block-Level Resource Allocation in OFDMA Networks , 2011, IEEE Transactions on Wireless Communications.

[13]  Fred W. Glover,et al.  Tabu Search , 1997, Handbook of Heuristics.

[14]  Yuzhou Li,et al.  Energy-Efficient Antenna selection and power allocation in downlink distributed antenna systems: A stochastic optimization approach , 2014, 2014 IEEE International Conference on Communications (ICC).

[15]  Angeliki Alexiou.  Wireless World 2020: Radio Interface Challenges and Technology Enablers , 2014, IEEE Vehicular Technology Magazine.

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

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