Max-Min Fair Resource Allocation for Min-Rate Guaranteed Services in Distributed Antenna Systems

Distributed antenna systems (DASs) are promising for future wireless systems to provide high data transmission rates. So far, most works on resource allocation schemes for DASs have not considered the Quality of Services (QoS) and fairness of mobile users simultaneously. This paper investigates and presents an optimal max-min fair resource allocation scheme for min-rate guaranteed services in downlink multiuser DASs. By exploring the properties of the optimization problem, we transform it into an equivalent convex optimization problem. Then we propose an iterative allocation algorithm to solve the problem and get the optimal solution. Numerical results show that the proposed method realizes the max-min fair resource allocation for min-rate guaranteed services, in which the values of minimum transmission rates are maximized.

[1]  Sotirios Karachontzitis,et al.  Low-complexity resource allocation and its application to distributed antenna systems [Coordinated and Distributed MIMO] , 2010, IEEE Wireless Communications.

[2]  Xiaohu You,et al.  Energy-Efficient Resource Allocation in OFDM Systems With Distributed Antennas , 2014, IEEE Transactions on Vehicular Technology.

[3]  Wenjun Xu,et al.  Time-Frequency Resource Allocation for Min-Rate Guaranteed Services in OFDM Distributed Antenna Systems , 2007, IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference.

[4]  Larry J. Greenstein,et al.  Data throughputs using multiple-input multiple-output (MIMO) techniques in a noise-limited cellular environment , 2002, IEEE Trans. Wirel. Commun..

[5]  Xiaohu You,et al.  Energy- and Spectral-Efficiency Tradeoff for Distributed Antenna Systems with Proportional Fairness , 2013, IEEE Journal on Selected Areas in Communications.

[6]  Halim Yanikomeroglu,et al.  Coordinated max-min fair port selection in a multi-cell distributed antenna system using semidefinite relaxation , 2012, 2012 IEEE International Conference on Communications (ICC).

[7]  Jiangzhou Wang,et al.  Distributed Antenna Systems for Mobile Communications in High Speed Trains , 2012, IEEE Journal on Selected Areas in Communications.

[8]  Xiaoxin Qiu,et al.  On the performance of adaptive modulation in cellular systems , 1999, IEEE Trans. Commun..

[9]  Lin Tian,et al.  Power and Subcarrier Allocation for Multicast Services in Distributed Antenna Systems , 2011, 2011 IEEE Global Telecommunications Conference - GLOBECOM 2011.

[10]  A. Nkansah,et al.  Radio-Over-MMF Techniques—Part I: RF to Microwave Frequency Systems , 2008, Journal of Lightwave Technology.

[11]  Ying Wang,et al.  Joint resource allocations in distributed antenna systems with coherent transmitter , 2011, 2011 IEEE GLOBECOM Workshops (GC Wkshps).

[12]  Tung-Sang Ng,et al.  MIMO-OFCDM systems with joint iterative detection and optimal power allocation , 2008, IEEE Transactions on Wireless Communications.

[13]  Victor C. M. Leung,et al.  Opportunistic downlink scheduling with fair resource sharing for distributed antenna systems , 2014, 2014 IEEE International Conference on Communications (ICC).

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

[15]  Lin Dai.  A Comparative Study on Uplink Sum Capacity with Co-Located and Distributed Antennas , 2011, IEEE Journal on Selected Areas in Communications.

[16]  Douglass J. Wilde,et al.  Foundations of Optimization. , 1967 .

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

[18]  Jiangzhou Wang,et al.  Radio Resource Allocation in Multiuser Distributed Antenna Systems , 2013, IEEE Journal on Selected Areas in Communications.

[19]  Tung-Sang Ng,et al.  Performance analysis on MIMO-OFCDM systems with multi-code transmission , 2009, IEEE Trans. Wirel. Commun..