40results about How to "Minimize the total transmit power" patented technology

A device and method for continuous outer-loop power control on a physical channel which transmits only power control bits and no data while in discontinuous transmission (DTX) mode in a CDMA mobile communication system is disclosed. In the power controlling device according to one aspect of the present invention, a frame error detector detects an error from a frame of predetermined length and generates an error signal indicating whether an error has been generated. A closed-loop power controller compares a threshold with the signal-to-noise ratio (SNR) in each power control group (PCG) in a plurality of periods of the frame and generates power control information according to the comparison result. An outer-loop power controller increases the threshold in order to generate power control information that commands a power increase in response to an error signal indicating the existence of a frame error, and decreases the threshold in order to generate power control information that commands a power decrease in response to an error signal indicating the absence of a frame error. An offset controlling unit, which is connected to the outer-loop power controller, receives gating information about the gated transmission of data in a frame at a predetermined rate, and generates an offset signal, which indicates an offset corresponding to a changed gating rate if the gating rate is changed.

An apparatus and method exploits a variable frequency response of a radio channel in a time division duplex wireless communication system such that for unscheduled uplink transmissions, the transmission power required for correct reception of the data is minimized. The degree of interference caused to other users in both the serving cell and the neighbor cells is correspondingly reduced and hence system capacity is improved.

An adaptive antenna base station apparatus comprises an array antenna including N (N being a natural number) antenna elements; N reception sections for respectively performing orthogonal detection of high-frequency signals, respectively received by the antenna elements, after frequency conversion; N×M despreading sections for performing despreading operations, corresponding to delay times of M (M being a natural number) path components included in output signals of the reception sections; M correlation computing sections for performing correlations among the antenna elements for each path; a correlation combining section for combining output signals of the correlation computing sections; and a DOA estimating section for estimating a direction of arrival (DOA) by using an output of the correlation combining section. This can ensure collective estimation of DOAs of M path components, thereby reducing the amount of computation of estimating the DOAs for plural paths and the cost for the apparatus.

The invention relates to an intelligent reflector-assisted multi-cell robust joint transmission beam optimization method, which comprises the following steps of: firstly, considering that an error exists in intelligent reflector-user link channel estimation, constructing an optimization model of joint multi-base station transmission beam forming and intelligent reflector shift, and considering the fairness of cell users, ensuring the minimum achievable rate of cell edge users according to the invention; secondly, due to variable height coupling, decomposing the problem into two problems of base station beam forming and intelligent reflecting surface shifting, converting the base station beam forming problem into a convex problem by adopting an S-Procedure theorem and convex semi-definite relaxation, and providing an iterative algorithm based on dichotomy to obtain an optimal solution of the intelligent reflecting surface shifting; finally, alternately solving the two problems until convergence. According to the method provided by the invention, the total transmitting power of the base station can be minimized under the condition that all possible channel errors are realized, and meanwhile, the minimum achievable rate requirement of the worst user is met.

The invention discloses a networking radar power and bandwidth joint optimization allocation method based on radio frequency stealth. The method comprises: determining the composition of a networkingradar system; taking the radar binary selection variable, the radar transmitting power and the signal bandwidth as independent variables, constructing a prediction Bayesian Cramer-Rao lower bound matrix of a target state estimation error, and taking an element corresponding to a target position component on a diagonal line of the prediction Bayesian Cramer-Rao lower bound matrix as a measurement index of target tracking precision; determining a target tracking precision threshold, and establishing a networking radar power and bandwidth joint optimization model based on radio frequency stealth;and solving the optimization model. According to the invention, constraint conditions such as data processing amount of a fusion center, prediction tracking precision of a target at the next moment and radar emission resources are satisfied. By taking minimization of the total transmitting power of the networking radar system as an optimization target, parameters such as radar selection, transmitting power and signal bandwidth in the multi-target tracking process are optimized, and the radio frequency stealth performance of the networking radar system during multi-target tracking is improved.

The invention belongs to the technical field of wireless communication, and relates to a symbiotic communication system multi-antenna multicast transmission method based on an intelligent reflection surface. According to the symbiotic communication system multi-antenna multicast transmission method based on the intelligent reflection surface, the intelligent reflection surface sends own Internet of Things information symbols through multicast signals of a main system, and downlink multicast transmission from a base station to a main receiver can be enhanced through the intelligent surface; both the main receiver and the IoT receiver receive a direct link signal from the base station and a reflected signal from the smart surface. The invention further provides a method for jointly optimizing the active beamforming W of the base station end and the passive beamforming phi of the intelligent surface end, and minimization of the transmitting power of the base station is realized under thecondition of meeting the requirements of the signal to interference plus noise ratio of the main receiver and the signal to noise ratio of the IoT receiver. Through simulation verification, under thecondition that normal communication of the main system is not influenced, the transmitting power and energy of the base station are greatly saved, and the frequency spectrum and cost expenditure are not additionally increased.

The invention discloses a radar network power control method based on a non-cooperative game under spectrum sharing. The method comprises the steps of under the condition that a radar network system and a communication system work in a same frequency band, acquiring propagation losses between each radar and a target and each radar and the communication system and a RCS of the target with respect to each radar in the networking system according to priori knowledge; and then using minimization of transmitting power of each radar in the radar network system as a target, under the condition of meeting certain target detection performance and the maximum acceptable interference power threshold of the communication system, building a radar network power control model based on the non-cooperativegame under spectrum sharing, and solving the model via a distributed power iteration algorithm. According to the control method, the transmission power of each radar in the radar network system is reduced, and the spectrum sharing performance between the radar network and the communication system is enhanced.

The invention discloses a bit allocation and power control implementation method for an OFDM two-way relay system. The method comprises the following steps: by taking the minimization of the system transmitting power as the goal and taking the target rate of a source node as a limiting condition, simultaneously carrying out sub-carrier bit allocation and node transmitting power adjustment according to the channel state information. Thereby, the minimization of the total transmitting power of the system can be achieved on the basis of meeting the target rate of the source node.

The invention discloses an information processing method. According to the information processing method, a macro base station and a family base station send training sequences to a relay and a family user respectively, the relay and the family base station send training sequences to a macro user and the family user respectively, and estimation channels from the macro base station to the relay, from the family base station to the relay, from the macro base station to the family user, from the family base station to the family user, from the relay to the macro user, from the family base station to the macro user and from the relay to the family user can be obtained through channel estimation; the macro base station, the family base station and the relay calculate transmission beam forming matrixes of the macro base station, the family base station and the relay by using an iterative algorithm according to estimation channels; the macro base station and the family base station conduct linear processing on transmission signals and broadcast the transmission signals, the family base station user and the relay receive information, the relay conducts linear processing on the received information and broadcasts the received information, and the family base station conducts linear processing on newly transmitted signals and broadcasts the newly transmitted signals; and the macro user and the family user receive the transmission signals respectively. The method effectively restrains the cross-layer interference.

The invention discloses a bidirectional relay system power distribution method based on an AF (Amplify-and-Forward) mechanism, which is suitable for a bidirectional relay system based on the AF mechanism. According to the method, the system QoS (Quality of Service) requirement and transmitter peak transmitting power limit are taken as constraint conditions, and the target is to minimize the system total transmitting power. The transmitting power of a transmitter is dynamically adjusted by means of a channel statistical value according to the requirement of a source node on the data rate, so that the system total transmitting power is minimized under the condition that the system QoS requirement and the transmitter peak transmitting power limiting condition are met.

A radio communication system has a plurality of transmission formats available for transmitting data signals, and a pilot signal is transmitted during the transmission of data to enable channel estimation. The transmit power of the pilot signal is varied depending on the current transmission format of the data, and is reduced in the periods between data transmissions.

The invention discloses a beam forming optimization method and device for minimizing the transmitting power of an ultra-dense network. According to the method disclosed in the invention, in an ultra-dense network with a macro base station and a plurality of small base stations, a user accesses a corresponding base station according to the position of the user; transmitting beam forming of a macrobase station and all small base stations is jointy optimized by constructing an optimization problem where QoS (Quality of Service) requirement of the user and the limitation of backhaul rates of the small base stations are takens as constraints and minimization of total transmitting power of the system is taken as a target. The optimization process comprises the following steps: firstly, introducing an intermediate variable; iteratively solving an optimization problem related to an intermediate variable, solving an SDP problem in each iteration process, obtaining a series of transmitting beam forming meeting the constraint of the original problem as alternative solutions by adopting Gaussian randomization on the basis of the optimal intermediate variable, and selecting a group of solutions with the minimum transmitting power as the optimal transmitting beam forming. Compared with a traditional zero-forcing transmission solution, the method is advantageous in that total transmittingpower can be remarkably reduced.

The invention provides a relay processing and power control joint optimization method for a two-way relay network. The relay processing and power control joint optimization method comprises: establishing a two-way relay network model, initializing user transmitting power Pk, establishing a relay processing matrix V of a relay node, updating the user transmitting power based on the relay processing matrix, calculating total transmitting power Ptotal, and repeating the steps, and according to the expression described in the specification, obtaining the optimal transmitting power and the optimal relay processing matrix of a user node. Joint design and optimization of relay processing and power control are achieved, on the condition of meeting a user signal to interference plus noise power ratio, the allocation of the transmitting power of the user node and the relay node is optimized, and the rely node processing matrix is jointly optimized, so that the energy efficiency of a two-way relay network system is optimal.

The invention discloses an uplink transmission method for a periodic URLLC (Uniform Resource Location Link Control) service. The uplink transmission method comprises the following steps: 1) constructing a URLLC uplink transmission model; 2) constructing a URLLC service uplink transmission QoS guarantee mechanism based on a finite coding length theory; 3) by formulating a reasonable sub-channel-power joint distribution strategy, while the uplink transmission QoS of all devices in the system is guaranteed, the required total transmitting power is minimized, so that an edge adaptive optimizationproblem is constructed; and 4) respectively solving the edge adaptive optimization problem in the step 3) through a Kuhn-Munkres algorithm based on a weighted bipartite graph theory or a low-complexity algorithm based on greedy selection, and obtaining an optimal sub-channel-power distribution strategy, and completing uplink transmission of the periodic URLLC service according to the optimal sub-channel-power distribution strategy. The method can be suitable for uplink transmission of the periodic URLLC service.

The invention discloses a power optimized control and distribution method of mobile sites under a high mobile environment, and aims at providing a power optimized control and distribution method of mobile sites which can satisfy the cache limitation of the mobile sites under the high mobile environment. The method comprises the following steps: firstly presetting a service period of a base station as(T0, T0+ds/v), then judging the quantity of power turning points in the service period, solving time corresponding to each power turning point, and solving a signal-to-noise ratio of a transmitting terminal according to a first transmitting-terminal signal-to-noise ratio calculation formula or second transmitting-terminal signal-to-noise ratio calculation formula. By adopting the method, the needed transmitting power is minimized under the condition that the cache limitation is satisfied, so that the cache of the mobile site has no overflowing, and the transmitting power is minimized.

The invention relates to a secure communication method based on an intelligent metasurface in a radiation mode. The method comprises the following steps: constructing a secure communication scene; the secure communication scene comprises a transmitting base station, a legal user, a jammer and an eavesdropping machine; the transmitting base station comprises a transmitter and an intelligent metasurface in a radiation mode; the intelligent metasurface communicates with the legal user and the eavesdropper through the first channel and the second channel respectively; the jammer communicates with the legal user and the eavesdropper through a third channel and a fourth channel respectively; the transmission power and the phase beam are used as optimization variables, the minimum power of a transmitting base station is used as an optimization target, constraint conditions are set according to the rate outage probability of a legal user, the secrecy rate outage probability of the target and intelligent metasurface unit amplitude normalization, and a target function is constructed; and solving the objective function to obtain the optimal transmission power and phase beam in the secure communication scene. According to the invention, anti-interference and anti-eavesdropping can be realized at the same time, and the cost and power consumption are reduced at the same time.