Massive multiple-input multiple-output(MIMO) system is capable of substantially improving the spectral efficiency as well as the capacity of wireless networks relying on equipping a large number of antenna elements at...Massive multiple-input multiple-output(MIMO) system is capable of substantially improving the spectral efficiency as well as the capacity of wireless networks relying on equipping a large number of antenna elements at the base stations. However, the excessively high computational complexity of the signal detection in massive MIMO systems imposes a significant challenge for practical hardware implementations. In this paper, we propose a novel minimum mean square error(MMSE) signal detection using the accelerated overrelaxation(AOR) iterative method without complicated matrix inversion, which is capable of reducing the overall complexity of the classical MMSE algorithm by an order of magnitude. Simulation results show that the proposed AOR-based method can approach the conventional MMSE signal detection with significant complexity reduction.展开更多
In order to solve the linear algebraic system AX=b in complex domain, where A is a weakly cyclic of index p=3 matrix (p cyclic matrix), the convergence properties of SOR are studied in the paper. In section 1, we give...In order to solve the linear algebraic system AX=b in complex domain, where A is a weakly cyclic of index p=3 matrix (p cyclic matrix), the convergence properties of SOR are studied in the paper. In section 1, we give some definitions. In section 2, the necessary conditions for convergent complex SOR are given moreover the necessary and sufficient conditions in some special situations are also presented. In section 3, we expand the techniques applied by R.S. Varga et al., and it is established that the results of R.S. Varga et. al. are special cases of our work.展开更多
We propose,in this paper,the preconditioned accelerated generalized successive overrelaxation(PAGSOR)iteration method for efficiently solving the large complex symmetric linear systems.To solve the nonlinear systems w...We propose,in this paper,the preconditioned accelerated generalized successive overrelaxation(PAGSOR)iteration method for efficiently solving the large complex symmetric linear systems.To solve the nonlinear systems whose Jacobian matrices are complex and symmetric,treating the PAGSOR method as internal iteration,we construct a modified Newton-PAGSOR(MN-PAGSOR)method to provide an effective approach for solving a wide range of problems in various scientific and engineering fields.Based on the Hölder continuous condition we present the theoretical framework of the modified method,demonstrate its local convergence properties,and provide numerical experiments to validate its effectiveness in solving a class of nonlinear systems.展开更多
基金supported by the key project of the National Natural Science Foundation of China (No. 61431001)Huawei Innovation Research Program, the 5G research program of China Mobile Research Institute (Grant No. [2015] 0615)+2 种基金the open research fund of National Mobile Communications Research Laboratory Southeast University (No.2017D02)Key Laboratory of Cognitive Radio and Information Processing, Ministry of Education (Guilin University of Electronic Technology)the Foundation of Beijing Engineering and Technology Center for Convergence Networks and Ubiquitous Services, and Keysight
文摘Massive multiple-input multiple-output(MIMO) system is capable of substantially improving the spectral efficiency as well as the capacity of wireless networks relying on equipping a large number of antenna elements at the base stations. However, the excessively high computational complexity of the signal detection in massive MIMO systems imposes a significant challenge for practical hardware implementations. In this paper, we propose a novel minimum mean square error(MMSE) signal detection using the accelerated overrelaxation(AOR) iterative method without complicated matrix inversion, which is capable of reducing the overall complexity of the classical MMSE algorithm by an order of magnitude. Simulation results show that the proposed AOR-based method can approach the conventional MMSE signal detection with significant complexity reduction.
文摘In order to solve the linear algebraic system AX=b in complex domain, where A is a weakly cyclic of index p=3 matrix (p cyclic matrix), the convergence properties of SOR are studied in the paper. In section 1, we give some definitions. In section 2, the necessary conditions for convergent complex SOR are given moreover the necessary and sufficient conditions in some special situations are also presented. In section 3, we expand the techniques applied by R.S. Varga et al., and it is established that the results of R.S. Varga et. al. are special cases of our work.
基金National Natural Science Foundation of China with Grant Nos.12161030,12171216.
文摘We propose,in this paper,the preconditioned accelerated generalized successive overrelaxation(PAGSOR)iteration method for efficiently solving the large complex symmetric linear systems.To solve the nonlinear systems whose Jacobian matrices are complex and symmetric,treating the PAGSOR method as internal iteration,we construct a modified Newton-PAGSOR(MN-PAGSOR)method to provide an effective approach for solving a wide range of problems in various scientific and engineering fields.Based on the Hölder continuous condition we present the theoretical framework of the modified method,demonstrate its local convergence properties,and provide numerical experiments to validate its effectiveness in solving a class of nonlinear systems.
