Future wireless communication systems should provide a wide range of services at a reasonable cost and sufficient quality of services (QoS), comparable to wireline technologies. In order to satisfy these requirements, the spectral efficient wireless cellular networks can be designed by reducing the frequency reuse factor to unity. However, it is well known that aggressive channel reuse generates intolerable intercell interference (ICI) and affects the overall network performance. The development of methods that handle the tradeoff between the spectral efficiency and ICI is still an open problem. For this purpose, the management techniques for cellular networks beyond the existing/traditional ones should be developed by taking into account the effect of ICI. The interference can be exploited to improve the reliability/spectral efficiency with cooperation between base-stations and/or users through backhaul and feedback links. The objective of this project is to study the performance of future wireless networks exploiting cooperation between the cells in a realistic environment by using both analysis and evaluations through practical scenarios. Apart from the traditional cellular arrangements, we will focus on interference management strategies including distributed implementation of the precoding algorithms; combination with radio resource management issues to manage users’ satisfaction having different QoS and design feedback strategies to establish cooperation/coordination between base-stations and/or users. The project addresses the development of interference management strategies and intercell scheduling/allocation techniques to improve the cell throughput by employing capacity constraint backhaul link. The impact of channel estimation uncertainties, and synchronization issues will be studied and multicarrier transmission with MIMO will be discussed in both moderate and higher mobility applications.