Yiwei YuEryk DutkiewiczXiaojing HuangMarkus Mueck
This paper presents a novel downlink resource allocation scheme for OFDMA-based next generation wireless networks subject to inter-cell interference (ICI). The scheme consists of radio resource and power allocations, which are implemented separately. Low-complexity heuristic algorithms are first proposed to achieve the radio resource allocation, where graph-based framework and fine physical resource block (PRB) assignment are performed to mitigate major ICI and hence improve the network performance. Given the solution of radio resource allocation, a novel distributed power allocation is then performed to optimize the performance of cell-edge users under the condition that desirable performance for cell-center users must be maintained. The power optimization is formulated as an iterative barrier-constrained water-filling problem and solved by using the Lagrange method. Simulation results indicate that our proposed scheme can achieve significantly balanced performance improvement between cell-edge and cell-center users in multi-cell networks compared with other schemes, and therefore realize the goal of future wireless networks in terms of providing high performance to anyone from anywhere.
Livina Jayasankar C.K.M. Supriya
Xiaoming TaoChunxiao JiangJie LiuAiling XiaoYi QianJianhua Lü
Angeliki AlexiouD. AvidorPeter BöschSuman DasPreeti GuptaBertrand M. HochwaldT.E. KleinJonathan LingAngel LozanoThomas L. MarzettaSohini MukherjeeSape J. MullenderConstantinos B. PapadiasReinaldo A. ValenzuelaHarish Viswanathan