Research On Resource Allocation Algorithm For Integrated Communication And Navigation Network Based On F-OFDM

With the advent of the 5G era,people's demand for high-speed communication and accurate positioning is increasing.The communication system not only needs to have a high data transmission rate,but also integrates positioning to assist anytime and anywhere connections.The current integrated communication and navigation networks are mostly based on satellite navigation systems.Due to severe signal attenuation in complex environment,positioning are difficult to implement,and resource allocation will affect communication and positioning performance.Therefore,this paper uses the wireless self-organizing network as the basic structure to construct a communication and navigation integrated network based on F-OFDM,and provides dual services of communication and positioning through optimal allocation of resources.The main contributions of this paper are as follows:First,in order to adapt to the different characteristics of communication services and positioning services,the F-OFDM is introduced into the wireless self-organizing network,and an integrated communication and navigation network based on F-OFDM is constructed.According to the different service,the integrated communication and navigation network is separated into the communication network and the positioning network.And a sub-band division algorithm based on binary split is proposed,where the sub-carrier is divided into multiple sub-bands which can be adaptively allocated to the communication network and the positioning network as the minimum resource scheduling unit.Then,in the communication network,this paper analyzes the influence of bandwidth and power on the data transmission rate of the communication link.In the positioning network,we analyzed OFDM ranging signal based on TOA received by the target node,and studied the CRLB of the target node's positioning error,then use Fisher information to derive the relationship between the target node's SPEB and the bandwidth and power on the anchor node.The analysis shows when the bandwidth and power resources of the communication network and the positioning network are increased,the communication performance and positioning performance are greatly improved.Due to the limited resources in the network,there is a resource competition between the communication network and the positioning network.In order to ensure communication quality,it is necessary to firstly meet the communication link requirements.We use game theory to establish a Stackelberg game resource allocation model based on communication priority,in which the communication network is the leader and the positioning network is the follower.Finally,this paper proposes an iterative sub-band allocation algorithm for cross-network interaction.Under the minimum sub-band resource block criterion,the communication network uses the improved BNB algorithm to obtain the communication sub-band allocation.Under the minimum maximum criterion,the positioning network uses the iterative Hungarian algorithm to obtain the positioning sub-band allocation.After the interaction between the two networks,we get the optimal sub-band allocation scheme.Based on the optimal sub-band allocation scheme,a minimum power allocation model is established for the communication network,and the optimal power allocation scheme on the communication sub-band is obtained through the Lagrangian multiplier method.And the optimal power allocation scheme for positioning network can be obtained by the interior point method.Furthermore,through MATLAB software,the simulation results show that the proposed algorithm has superior performance.Compared with the other three existing resource allocation algorithms,it significantly improves the positioning accuracy of the positioning network under the premise of meeting the communication needs.