China Communications • November 2015 12 can be achieved from the proposed coordination schemes. Keywords: cloud radio access network; poisson point process; coverage probability; joint coordinated transmission; baseband unit I. INTRODUCTION The rapid growth of mobile communication systems driven by advanced development in smart mobile devices supporting innovative multimedia applications has led to an exponential growth in the mobile data traffic in recent years. Global mobile data traffic will increase nearly tenfold between 2014 and 2019 [1]. This indicates that mobile communications systems will now be required to support much larger system capacities. To meet this ever increasing capacity demands, it becomes necessary for the next generation wireless networks, specifically fifth generation (5G) networks to develop revolutionary ways of addressing the projected capacity and user quality of service (QoS) demands [2]. Significant research attention has been drawn to the concept of Cloud radio access network (C-RAN) [3], because it is potentially a powerful method of mitigating the key degradation in mobile communication systems [4]. Abstract: The cloud radio access network (C-RAN) has recently been proposed as an important component of the next generation wireless networks providing opportunities for improving both spectral and energy efficiencies. The performance of this network structure is however constrained by severe inter-cell interference due to the limited capacity of fronthaul between the radio remote heads (RRH) and the base band unit (BBU) pool. To achieve performance improvement taking full advantage of centralized processing capabilities of C-RANs, a set of RRHs can jointly transmit data to the same UE for improved spectral efficiency. In this paper, a user centralized joint coordinated transmission (UC-JCT) scheme is put forth to investigate the downlink performance of C-RANs. The most important benefit the proposed strategy is the ability to translate what would have been the most dominant interfering sources to usable signal leading to a significantly improved performance. Stochastic geometry is utilized to model the randomness of RRH location and provides a reliable performance analysis. We derive an analytical expression for the closed integral form of the coverage probability of a typical UE. Simulation results confirm the accuracy of our analysis and demonstrate that significant performance gain Performance Analysis in Cloud Radio Access Networks: User-Centralized Coordination Approach Munzali Ahmed Abana 1 , SUN Yaohua 1 , Manzoor Ahmed 1 , Lukman A. Olawoyin 2 , LI Yong 1 1 Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China. 2 Wireless Communication Center, Beijing University of Posts and Telecommunications, Beijing, China. CLOUD COMPUTING BASED RADIO ACCESS NETWORK