Research On Resource Management Technologies In Wireless Network For Complex Environment

Due to the limitation of wireless network resource and increasing wireless communication service requirements, the resource management of wireless network is always a key problem in wireless communication networks. On the other hand, with the increasing desire of ocean economy, climate monitoring and defense security, the underwater communications have been attracted by the industry and the academy,and the sea-land integrated wireless communication networks have become a classic heterogeneous complex environment. In this thesis, the complex environment is defined as the combination of the terrestrial cellular network environment and the underwater wireless network enviroenment, which involves the divisity of communication scenarios,the time-varying character of wireless channel, and the application scenario covering the land and the underwater. However, according to the unique communication environment, the conventional wireless resource management technologies are unable to adapt into the sea-land integrated heterogeneous complex environment. Therefore, considering the practical application case of underwater wireless communication network, this thesis has studied the resource management technologies in sea-land integrated wireless communication networks, including terrestrial cellular network and underwater wireless network.This thesis analyzes the sea-land integrated heterogeneous complex environment and concludes the current research status. Also, focusing on the wireless cellular network and wireless multi-hop network topology architecture, this thesis proposes a layered heterogeneous wireless network architecture, covering the offshore land, ocean surface, in the ocean, and seabed. The architecture provides technique supports for three communications: between the ocean surface collection nodes and the terrestrial cellular network, among the nodes in the underwater wireless multi-hop network, and between the seabed sensor nodes and the underwater wireless cellular base station. Concretely, this thesis focuses on the two aspects: frequency allocation and power control. In the terrestrial cellular network, this thesis has studied the power control schemes. In the underwater wireless network, this thesis has studied the frequency allocation scheme and power control scheme in underwater wireless cellular network and underwater wireless multi-hop network,respectively.Considering the user applications' requirements for terrestrial wireless network resource, this thesis has studied the power control scheme in terrestrial cellular network, aiming to implement the tradeoff between the energy saving and the quality of service (QoS). Firstly,according to the goal of saving energy in cellular networks and based on the stochastic process theory, this thesis proposes the dynamic cell power selection scheme aiming at minimizing the long-term energy consumption. This thesis applies the finite-state Markov traffic load model to resolve the cell selection scheduling problem. For achieving the optimal performance, this thesis develops an optimization model by using the multi-armed bandit process stochastic power scheduling control and solves it by applying the linear programming (LP) technique. Secondly,according to the objective of guaranteeing users' QoS, this thesis proposes the semi-Markov decision process (SMDP) model-based stochastic optimization scheme for the optimal tradeoff between energy savings and QoS provisioning over multicell cooperation networks. The objective is to efficiently minimize the power consumption at the base stations while guaranteeing the diverse QoS provisionings for mobile users through the multicell cooperation power scheduling. To achieve this goal, this thesis applies the finite-state Markov chains to model the mobile users' density, mobility and multicell cooperation power-profile scheduling. Using these models, a SMDP-based stochastic optimization problem is derived and solved by iteration algorithm.Considering the multi-hop relay cooperation technique, a power-efficient resource allocation scheme for tradeoff between the power consumption and QoS of multimedia applications is proposed in a relay-based underwater multiple input multipule output (MIMO) and orthogonal frequency division multiplexing (OFDM) acoustic cooperation. The objective is to efficiently minimize the total power/energy consumption while supporting the QoS guaranteed services for multimedia applications over underwater MIMO-OFDM acoustic cooperative wireless networks. To achieve these goals, this thesis proposes a joint optimization of source and relay network transmit power with the QoS-constraint for the relay based MIMO-OFDM underwater acoustic cooperative wireless networks.Considering the frequency management in underwater acoustic cellular network, this thesis proposes a novel fractional frequency reuse scheme for intercell interference mitigation under the two-tier based underwater multicell OFDM wireless networks. The main objective is to guarantee the edge-user's QoS requirements in terms of Signal to Interference plus Noise Ratio (SINR) and outage probability while increasing the spectrum efficiency of the entire underwater multicell wireless networks.Also, this thesis develops and implements the multi-hop adaptive RTT driven transport layer flow and error control protocol (ARTFEC) for QoS guaranteed image transmission in underwater acoustic networks.ARTFEC is based on the congestion window size control and the Q-learning optimal timeout selection with QoS provisioning. For the congestion window size control, an RTT-based data flow control policy is proposed to adapt to the varying acoustic channel environments, aiming to guarantee the reliability and high data rate of data transmission. In addition, a Q-learning based optimal timeout selection algorithm is developed to improve the channel utilization efficiency, which can increase the end-to-end throughput while decreasing the packet loss rate.