A QoS-oriented power and resource allocation framework for wireless networks

In this paper, we propose a low-complexity quality of service (QoS)-oriented resource and power allocation framework. The aim of our scheme is to adjust the power expenditure of mobile stations (MSs) according to their QoS demands, which are imposed by the applications on the MS ranging from conversational and video-conference to telemetry and bulk data, for instance. Users are scheduled based on their QoS requirements and interference levels. Furthermore, we apply a power allocation method which is based on non-cooperative game theory, thus users are forced to transmit in a power regime allowing them to meet their specific QoS constraints. We develop a centralized signal-to-interference-plus-noise ratio (SINR) balancing scheme as well as a maximum power allocation mechanism to provide a performance bound. The results show that our framework allows the system to achieve important energy savings. Furthermore, it allows a higher percentage of users to meet their QoS requirements, when compared with a signal-to-interference-plus-noise ratio balancing scheme and a maximum transmission power method. Additionally, we show that our method only requires minimal channel knowledge to perform its optimization process.