Cellular ad hoc network radio resource optimization and allocation method

Abstract

The invention relates to a cellular ad hoc network radio resource optimization and allocation method which comprises the following steps: for a given system model and parameters, obtaining a performance objective function which can be realized under a cooperative relay protocol and can select a monotonic increasing function reflecting the generation speed of application layer data required by users; giving the following constraint conditions required to be met by realizing performance indexes: different QoS (quality of service) requirements of end-users, a flow conservation principle, maximum and minimum transmission power requirements and attainable speed requirements; carrying out Lagrangian dual decomposition according to the objective function and the constraint conditions, respectively decomposing to a physical layer, a network layer and an application layer of OSI (open system interconnection), and respectively carrying out the optimized solution on each layer by using a sub-gradient mathematical method; and after respectively solving the optimization sub-problems of the physical layer, the network layer and the application layer, obtaining the optimal flow distribution, relay selection, transmission power and data generation speed distribution of each sub-carrier. The method provided by the invention ensures better stability and reality, and is suitable for the next generation of cellular ad hoc cooperative networks.

Description

technical field [0001] The invention belongs to the technical field of wireless network communication, and in particular relates to a method for optimally allocating wireless resources of a cellular ad hoc network. Background technique [0002] The next-generation wireless network needs to provide higher-speed multimedia services and data services. For example, IEEE 802.11a / g requires a data rate of 54Mbps. Obtaining a higher data rate at a lower cost is the core issue in the field of wireless communication. In addition, another element of the future wireless communication network is the ability to maintain communication without an inherent network structure, and the existing cellular network is limited by its own characteristics, and the only way to increase throughput and reduce power consumption is to reduce each The coverage of a base station reduces the radius of the cell and the number of users in the cell. However, this approach requires greater infrastructure overhe...

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Problems solved by technology

The two systems have different channel state information available for resource allocation, so the strategies adopted are also different. They are not suitable for the centralized multi-hop resource allocation of the cellular ad hoc network system. Most of the existing allocation schemes in the industry are based on the traditional layering The network does not take into account the role of mutual information between different layers of the network; in addition, for a multi-carrier OFDMA (Orthogonal Frequency Division Multiple Access) network that can transmit and receive simultaneously, end users transmit data locally and cooperate with other cellular users and ad hoc users to transmit Various wireless resource allocation strategies for data will affect the performance gain of collaboration; coupled with the different requirements of different users for QoS, which will affect the overall performance of the system, a more optimized resource allocation scheme is required

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