The Award-winning Paper
Title: Yuanming Shi, Jun Zhang, Brendan O'Donoghue and Khaled B. Letaief
Citation: IEEE Transactions on Signal Processing, Volume 63, No. 18, September 2015
Due to the growing popularity of mobile applications and proliferation of smart mobile devices, mobile data traffic is increasing exponentially, which brings ever-increasing demand for higher network capacity. An effective way to increase the capacity of wireless networks is to densify the network, i.e., to deploy more access points, which has been regarded as a key approach to meet the capacity requirement in 5G networks. However, as the network density increases, performance optimization problems are entering a new era, characterized by a high dimension and/or a large number of constraints. This poses significant design and computational challenges. In this paper, we first provide a unified formulation for various performance optimization problems in wireless networks, which is then solved by a novel algorithmic framework. Simulations demonstrate the high computation efficiency of the proposed framework, which will be valuable for effective signal processing and resource allocation in dense wireless networks.