Radio Resource Management Of Device To Device (D2D)Communication Underlay Cellular Networks

With the development of mobile communications, the wireless data throughput dramatically increases. On the contrary, the wireless spectrum is a scarce resource, the bandwidth for network operators cannot increase without limitation. In the future, more and more local hot spots will continue consuming the precious spectrum resource, and bring heavier burden to mobile networks. Therefore, how to improve the system capacity and support local services becomes one of the most attractive research directions in recent years.Device to Device (D2D) communication underlay cellular networks is considered to be a promising resource reuse technology for local users, which can support high-speed and power-saving services. With the control of base station, D2D users can establish flexible and reliable connections, and accomplish high-speed and power-saving communications. In this paper, we evaluate the capacity gain of D2D communication underlay cellular networks, by both theoretical analysis and numerical simulation. Since the range of D2D communication is usually limited, multi-hop transmission is needed when the users are far away from each other. We also discuss the relay-assisted D2D communication, and prove the advantages of multi-hop D2D transmission in access capacity and power efficiency.One of the challenges in a D2D enabling cellular network is the co-channel interference management. Since D2D users share resources with cellular users, the interference to the receiver of base station is severe when D2D pairs locate near to the base station. In this case, the intra-cell interference will influence the quality of communication and degrade the system performance. In this paper, we focus on the resource management of D2D communication underlay cellular networks. We first discuss the mode selection and adaptation methods according to user service states. Then we propose some practical algorithms in resource management and power control, especially in multi-band scenario. Simulation results show the proposed schemes can efficiently avoid the severe interference and improve the system capacity. Besides, we design the distributed implementation process for the resource management schemes, which can reduce signaling overhead and computing burden. Finally, we also discuss an efficient optimization algorithm in the D2D cluster scenario, which can support power-saving local services. Simulation results show that the scheme can both satisfy interference constraints and improve transmission capacity. Moreover, the low complexity of the algorithm means it can be used in practical environment.