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.