Research On Radio Resource Management Technologies In Next Generation Cellular Networks With Full-Duplex Relaying

With the development of mobile Internet and Internet of things, there has been a continuously growth in the number of wireless devices and the amount of mobile data. This has promoted the research and development of the next generation wireless networks, to provide higher data rate, better spectrum efficiency and energy efficiency, as well as lower latency. In addition, recent advances in self-interference cancellation techniques have enabled in-band full-duplex wireless systems. As a typical application of in-band full-duplex wireless, full-duplex relaying (FDR) systems are able to transmit and receive simultaneously in the same frequency band with high spectrum efficiency. Therefore, full-duplex relaying has been one of the promising technologies in next generation wireless networks, and has received a lot of attentions from both academia and industry.Meanwhile, radio resource management plays a very important role in energy efficiency, spectrum efficiency and quality of service (QoS) provisioning in wireless networks. For those reasons, we will focus on radio resource management technologies in next generation cellular networks with full-duplex relaying, and propose several novel resource management algorithms to allocate the radio resources (e.g., wireless spectrum, transmission power, base station, relay station, etc.) with higher energy efficiency and better resource utilization. The main contributions of this dissertation are summarized as follows:1. An energy-efficient joint power and subcarrier allocation algorithm is proposed for the cellular networks with shared full-duplex relaying.Firstly, a simple but practical transmission policy is proposed to tackle the multi-access interference, multi-user interference and self-interference at the same time for the cellular networks with shared full-duplex relaying.Secondly, in order to maximize the energy efficiency of the considered network, the problem of joint power and subcarrier allocation is formulated as a mixed combinatorial and non-convex optimization problem.Thirdly, to reduce the complexity of the considered problem, we solve it in two steps. In the first step, the considered problem is transformed to a convex problem with respect to the power allocation variables, and then the Dinkelbach method is used to perform the energy efficient power allocation under the assumption of known subcarrier allocation policy. In the second step, a joint power and subcarrier allocation algorithm is presented using discrete stochastic optimization.Finally, simulation results show that the proposed joint resource allocation algorithm is able to improve the energy efficiency of FDR networks significantly if the self-interference has been sufficiently suppressed. In addition, similar to traditional wireless networks, there is also a tradeoff between energy efficiency and spectrum efficiency in FDR networks.2. A distributed virtual resource allocation algorithm is put forward for the cellular networks with wireless virtualization and full-duplex relaying.Firstly, we introduce the idea of wireless virtualization into FDR networks and propose a virtual resource management architecture for the virtualized FDR networks. In the proposed virtualized FDR networks, in addition to radio spectrum and transmission power, both base stations (BSs) and full-duplex relay stations (RSs) from different infrastructure providers (InPs) are virtualized as virtual resources, which can be dynamically shared by users from different service providers (SPs).Secondly, with the basic requirements of wireless virtualization in mind, we formulate the problem of virtual resource allocation as a non-convex optimization problem in a centralized manner, which maximizes the total utility of all InPs in virtualized FDR networks.Thirdly, to reduce the computational complexity, we transform the original virtual resource allocation problem into a convex optimization problem, and then develop a distributed resource allocation algorithm based on alternating direction method of multipliers (ADMM).Finally, simulation results show that the utility of InPs, SPs and users can be improved in the proposed virtualized FDR networks with both uniform traffic and unbalanced traffic.3. A game-based virtual resource allocation scheme is proposed for virtualized full-duplex relaying networks.Firstly, jointly considering wireless virtualization and full-duplex relaying, we devide the virtualized full-duplex relaying networks into four parts:spectrum provider, base station provider, full-duplex relay station provider, and service provider.Secondly, the problem of spectrum and power allocation in virtualized full-duplex relaying networks is modeled as a three-stage Stackelberg game. In stage one, spectrum providers offer the price of each band to the BS providers. In stage two, the BS providers purchase bands from spectrum providers and allocate the bands to different users. In stage three, the RS provider performs the energy-efficient power allocation for two-hop users.Thirdly, we analyze the subgame perfect equilibrium for each stage using backward induction method and an iterative algorithm is develop to obtain the three-stage Stackelberg equilibrium.Finally, the convergence of the proposed game is verified through theoretical analysis and computer simulations. Also, simulation results demonstrate that the proposed resource management scheme is able to improve the utilities and energy efficiency of the considered network.