Research On Resource Allocation Algorithm Of Communication-Positioning Integrated Signal For Disaster Environment

Natural disasters such as earthquakes occur frequently in China.After natural disasters,base stations are likely to be damaged.At the same time,it is of great significance to obtain the real-time position of rescuers.Therefore,there is an urgent requirement for communication and positioning in post-disaster rescue.The Global Position System(GPS)signal is severely attenuated by buildings and even cannot be received.Common indoor positioning technologies,which are based on Channel State Information(CSI),Radio Frequency Identification Device(RFID)and Bluetooth,require a lot of preliminary work and cannot adapt to the post-disaster environment.Based on the existing MS-NOMA(Multi-Scale Non-Orthogonal Multiple Access)downlink signal,this paper studies the communication-positioning integrated technology based on MS-NOMA uplink signal for post-disaster environment.In order to reduce the inter-cell interference and power consumption,this paper further studies the power allocation method of the uplink signal.The main research works of this thesis are:1.In this paper,the structure of MS-NOMA uplink signal is proposed to realize real-time positioning of users.In the MS-NOMA downlink signal,the power of communication signal is set to be same,while the positioning signal power of different positioning users(P-Users)is specially allocated to obtain optimum ranging accuracy.Different from the downlink broadcasting signals,the power of both P-Users and C-Users should be allocated specifically on uplink occasion.2.The expressions of communication users’(C-Users’)Bit Error Rate(BER)and P-Users’ positioning error in MS-NOMA uplink system are given in this paper.Then,using the above expressions,two power allocation methods are proposed.In the first method,the power allocation of MS-NOMA uplink signal aims to minimize positioning error and power consumption at the same time under the QoS constraint of C-User.Based on the above analysis,the original optimization problem is proposed.Since the original optimization problem is difficult to solve,the original problem is divided into two optimization sub-problems.The objection of the first optimization sub-problem is to minimize power consumption under the constraints C-Users’ QoS and positioning error of P-Users.Assuming that the power of the positioning signals is fixed,the signal power of C-Users is allocated.The objection of the second optimization sub-problem is to minimize the positioning error under the constraints of BER and total power budget.Assuming that the power of communication signals is fixed,the signal power of P-Users is allocated.After the solutions of the above two sub-problems are obtained,the Joint Iterative Power Allocation Algorithm(JIPAA)is proposed.Through continuous iteration,the power allocation for communication signals and positioning signals is finally realized.In the second method,based on the uplink power control principle of LTE system,this paper proposes the traditional power allocation method,which ensures that the Signal Noise Ratio(SNR)of both communication signals and positioning signals can be maintained when they reach the base station.And the power of communication signals and positioning signals are allocated respectively.3.Finally,the performance of JIPAA algorithm and traditional power allocation method are compared in BER and positioning error.Simulation results show that compared to the traditional method,the JIPAA algorithm can improve the positioning performance by about 15%under the same power consumption under the constraint of C-Users’ BER.