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This paper considers a multi-cell OFDMA downlink system with several decode-and-forward (DF) relay stations (RSs) aiding the base station (BS) transmissions. The opportunistic DF protocol proposed in [1] is applied. The problem considered is the maximization of the system sum rate with a total power constraint in each cell. An iterative low-complexity resource allocation (RA) algorithm is proposed...
This paper considers a multi-cell relay aided orthogonal frequency division multiple access (OFDMA) downlink system, in which all stations are coordinated by a central controller for resource allocation (RA). The decode-and-forward (DF) protocol with selection relaying (SR) is applied. The problem considered is the maximization of the weighted sum of per cell min-rate (WSMR) with a total power constraint...
When using the standard particle swarm optimization to optimize the complex problems with high dimension, low convergence efficiency and falling into local optimization usually occur because of its inherent disadvantages. To avoid these disadvantages, a novel hybrid particle swarm optimization improved by mutative scale chaos method is proposed in this paper. This hybrid algorithm combines global...
This paper considers the downlink of a cellular orthogonal frequency division multi-access (OFDMA) system, in which multiple base stations (BSs) are coordinated by a centralized resource allocation algorithm. We address the problem of maximizing the weighted sum of the minimal user rates (WSMR) of coordinated cells subject to a total power constraint at each BS. In particular, the solution of this...
This paper considers the downlink of a cellular orthogonal frequency division multi-access (OFDMA) system, in which multiple base stations (BS) are coordinated by a centralized resource allocation algorithm. We address the problem of maximizing the weighted sum min-rate (WSMR) subject to a total power constraint at each BS, in terms of jointly optimizing coordinated BSs' subcarrier and power allocation...
We consider the resource allocation (RA) problem of maximizing the weighted sum of the minimal user rates (WSMR) of coordinated cells subject to a total power constraint at each base station (BS) in the downlink of a cellular orthogonal frequency division multi-access (OFDMA) system. In particular, the solution of this problem corresponds to a RA that guarantees similar rates to users in each cell...
This paper presents a hybrid algorithm for parameter estimation of synchronous generator. For large-residual problems (i.e., f(x) is large or f(x) is severely nonlinear), the performance of the Gauss-Newton method and Levenberg-Marquardt method is usually poor, and the slow convergence even causes iteration emergence divergence. The Quasi-Newton method can superlinearly converge, but it is not robust...
The job shop scheduling problem is a complicated combination optimization question. The problem allocates limited resources to tasks over time and determines the sequence of operations so that the constraints of the system are met and the performance criteria are optimized. This paper describes a generalized job-shop scheduling algorithm using chaotic neural network based on simulated annealing method...
A new poles extraction technique is presented based on modified damping least squares algorithm combined with matrix pencil method. Initial values of poles are obtained using matrix pencil method to overcome local convergence of nonlinear least squares. Stability of iterative algorithm is improved utilizing modified damping least squares algorithm instead of other methods. Perfect simulation results...
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