33results about How to "Premium quality of experience" patented technology

A non-orthogonal access uplink transmission time optimization method, comprising the following steps: (1) there are 1 mobile users in total under the coverage of the base station, a kind of QoS that satisfies the mobile users is proposed, while the mobile users upload The problem of minimizing the uplink transmission time of mobile users and the total energy consumption of all mobile users when the amount is given; (2) ORRCM problem is to find the optimal overall wireless resource consumption under the given amount of upload by mobile users; ( 3) Find an optimal uplink transmission time t through a deep deterministic strategy method * , so that there is an optimal overall wireless resource consumption; (4) Repeat the iterative process until the optimal uplink transmission time t is obtained * , so that there is an optimal overall radio resource consumption. The present invention minimizes uplink transmission time and total energy consumption of all mobile users.

A non-orthogonal multiple access-based mobile edge computing Brent-style delay optimization method in a multi-base station scenario, including the following steps: (1) There is a mobile network under the coverage of the BSs of the integrated edge server User, the optimization problem is described as a multivariate non-convex optimization problem; (2) Decompose the problem (DM‑i) into two layers of optimization problems; (3) According to the underlying DM‑i‑E‑Sub problem, a pull-based The binary search method of the Grangian multiplier method, at the transmission time t of the mobile user i i In the case of optimizing the overall delay of mobile user i; (4) Aiming at the top-level DM‑i‑E‑Top problem, a Brent method is proposed to optimize the transmission time t of mobile user i i ; (5) Solve the problem (DM‑i) through the interactive iteration of the bottom problem and the top problem. The present invention improves system transmission efficiency, saves bandwidth resources, and obtains better wireless network experience quality.

A non-orthogonal access optimal decoding sorting uplink transmission time optimization method based on linear search, comprising the following steps: (1) given a decoding sorting π m Under the condition of , the optimization problem is described as a non-convex optimization problem; (2) convert the (P1‑m) problem into a (P1‑m‑E) problem equivalently; It is a (P2) problem; a (P2‑Sub) problem is proposed; (3) an algorithm P2‑Algorithm based on linear search is proposed to optimize the overall wireless resource consumption when the upload volume of the smart terminal is given; (4) the algorithm OptOrder is proposed ‑Algorithm finds the optimal decoding order, and the output results are the global minimum overall wireless resource consumption and the global optimal uplink transmission time. The present invention improves system transmission efficiency, saves bandwidth resources, and obtains better wireless network experience quality.

A non-orthogonal access uplink transmission time optimization method based on a linear search formula, comprising the following steps: (1) there are 1 mobile users in total under the coverage of the base station, and a quality of service that satisfies the mobile users is proposed, Minimize the uplink transmission time of mobile users and the total energy consumption of all mobile users. Among them, the optimization problem is described as a non-convex optimization problem; (2) The ORRCM problem is equivalently transformed into the ORRCM-E problem, and the ORRCM-E problem is equivalently transformed into the D1 problem; (3) The algorithm ORRCM-E for solving the D1 problem Algorithm, in order to judge whether the D1 problem is feasible under the given value of θ, the D2 problem is proposed; based on the linear search method, the overall wireless resource consumption is optimized when the upload volume of mobile users is given. The present invention minimizes uplink transmission time and total energy consumption of all mobile users.

A non-orthogonal access optimal decoding sorting uplink transmission time optimization method based on deep deterministic policy gradient, including the following steps: (1) in a given decoding sorting π m Under the condition of , the optimization problem is described as a non-convex optimization problem; the (P1‑m) problem is to find the optimal overall wireless resource consumption in the case of a given intelligent terminal upload volume, and the observation (P1‑m) problem knows its The objective function has only one variable; (2) and (3) use the deep deterministic strategy method to find the optimal uplink transmission time, so that there is an optimal overall wireless resource consumption; (4) use the algorithm OptOrder-Algorithm to find the optimal Decoding and sorting, combined with a deep reinforcement learning algorithm, finally outputs the global minimum overall wireless resource consumption and the global optimal uplink transmission time. The present invention improves system transmission efficiency, obtains better wireless network experience quality, and enables optimal overall wireless resource consumption.

A non-orthogonal access downlink transmission time optimization method based on a linear search formula, comprising the following steps: (1) there are 1 mobile users in total under the coverage of the base station, and a QoS that satisfies the mobile users is proposed, Minimize the downlink transmission time of the base station and the total energy consumption of the base station when the download amount of the mobile user is given; among them, the optimization problem is described as a non-convex optimization problem; (2) The DDRCM problem is equivalently transformed into DDRCM‑E problem, the DDRCM‑E problem is equivalently transformed into a P1 problem; (3) In order to judge whether the P1 problem is feasible under the given value of θ, a P2 problem is proposed; based on the linear search method, when the download volume of mobile users is given Downlink resource consumption is optimized. The invention minimizes the downlink transmission time and the total energy consumption of the base station.

A non-orthogonal multiple access-based computing task offloading joint execution time and computing resource consumption optimization method, comprising the following steps: (1) There is an intelligent terminal under the coverage of a cellular network base station integrating an edge computing server, the optimization problem Described as an SCM problem; (2) Transform the SCM problem twice into the problem SCM‑E2, and decompose the problem SCM‑E2 into two sub-problems (3) Propose the SubBiSec algorithm and the TopLS algorithm to solve it respectively; (4) SubBiSec The algorithm solves the problem by bisection search θ under the condition of given t; (5) The TopLS algorithm enumerates t that meets the constraint conditions, and calls the SubBiSec algorithm to calculate the minimum value for each enumeration t . The present invention improves system transmission efficiency, saves bandwidth resources and the total cost of edge server computing resources, and obtains better wireless network experience quality.

A non-orthogonal access downlink transmission time optimization method based on a binary search formula, comprising the following steps: (1) There are 1 mobile users in total under the coverage of the base station, and a method that satisfies the quality of service of the mobile users and simultaneously , to minimize the downlink transmission time of the base station and the total energy consumption of the base station when the download amount of the mobile user is given; among them, the optimization problem is described as a non-convex optimization problem; (2) the DDRCM problem is equivalently transformed into DDRCM‑ E problem, the DDRCM‑E problem is equivalently transformed into a P1 problem; (3) In order to judge whether the P1 problem is feasible under the given value of θ, a P2 problem is proposed; based on the binary search method, when the download volume of mobile users is given Optimize downlink resource consumption (downlink transmission time and total energy consumption of the base station) in the case of . The invention minimizes the downlink transmission time and the total energy consumption of the base station.

A non-orthogonal access uplink transmission time optimization method based on a binary search formula, comprising the following steps: (1) There are 1 mobile users in total under the coverage of the base station, and a method that satisfies the quality of service of the mobile users and simultaneously , to minimize the uplink transmission time of mobile users and the total energy consumption of all mobile users. Among them, the optimization problem is described as a non-convex optimization problem; (2) the ORRCM problem is equivalently transformed into the ORRCM‑E problem; (3) the ORRCM‑E problem is equivalently transformed into a D1 problem; Whether the D1 problem is feasible under the conditions, and the D2 problem is proposed; based on the binary search method, the overall wireless resource consumption (uplink transmission time and total energy consumption of all mobile users) is optimized when the upload amount of mobile users is given. The present invention minimizes uplink transmission time and total energy consumption of all users. The technical effects of the present invention are mainly manifested in: 1. For the overall uplink, the use of non-orthogonal access technology greatly improves the system transmission efficiency; 2. For the overall uplink, the use of non-orthogonal access technology greatly saves bandwidth resources ; 3. For mobile users, better wireless network experience quality can be obtained through non-orthogonal access technology.

A non-orthogonal access uplink transmission time optimization method based on deep reinforcement learning, comprising the following steps: (1) There are a total of I mobile users under the coverage of the base station, and a QoS that satisfies the mobile users is proposed, Minimize the uplink transmission time of the mobile user and the total energy consumption of all users when the upload amount of the mobile user is given; (2) ORRCM problem is to find the optimal overall wireless resource consumption under the given upload amount of the mobile user , observe the ORRCM problem and know that its objective function has only one variable t; (3) Find an optimal uplink transmission time t through reinforcement learning algorithm * , so that there is an optimal overall wireless resource consumption; (4) Repeat the iterative process until the optimal uplink transmission time t is obtained * , so that there is optimal overall radio resource consumption.

A non-orthogonal multiple access-based linear search delay optimization method for mobile edge computing in a multi-base station scenario, comprising the following steps: (1) There is one mobile user under the coverage of the BSs of the integrated edge server , the optimization problem is described as a multi-variable non-convex optimization problem; (2) Decompose the problem (DM‑i) into a two-level optimization problem; (3) According to the underlying DM‑i‑E‑Sub problem, a Lager-based The binary search method of the Langerian multiplier method, at the transmission time t of the mobile user i i In the case of optimizing the overall delay of mobile user i; (4) Aiming at the top-level DM‑i‑E‑Top problem, a linear search method is proposed to optimize the transmission time t of mobile user i i ; (5) Solve the problem (DM‑i) through the interactive iteration of the bottom problem and the top problem. The present invention improves system transmission efficiency, saves bandwidth resources, and obtains better wireless network experience quality.