tailieunhanh - Báo cáo hóa học: " Performance Analysis of Capacity of MIMO Systems under Multiuser Interference Based on Worst-Case Noise Behavior"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Performance Analysis of Capacity of MIMO Systems under Multiuser Interference Based on Worst-Case Noise Behavior | EURASIP Journal on Wireless Communications and Networking 2004 2 273-285 2004 Hindawi Publishing Corporation Performance Analysis of Capacity of MIMO Systems under Multiuser Interference Based on Worst-Case Noise Behavior E. A. Jorswieck Fraunhofer Institute for Telecommunications Heinrich Hertz Institute Einsteinufer 37 10587 Berlin Germany Email jorswieck@ Fraunhofer Institute for Telecommunications Heinrich Hertz Institute Einsteinufer 37 10587 Berlin Germany Email boche@ Received 30 November 2003 Revised 5 July 2004 The capacity of a cellular multiuser MIMO system depends on various parameters for example the system structure the transmit and receive strategies the channel state information at the transmitter and the receiver and the channel properties. Recently the main focus of research was on single-user MIMO systems their channel capacity and their error performance with spacetime coding. In general the capacity of a cellular multiuser MIMO system is limited by additive white Gaussian noise intracell interference from other users within the cell and intercell interference from users outside the considered cell. We study one point-to-point link on which interference acts. The interference models the different system scenarios and various parameters. Therefore we consider three scenarios in which the noise is subject to different constraints. A general trace constraint is used in the first scenario. The noise covariance matrix eigenvalues are kept fixed in the second scenario and in the third scenario the entries on the diagonal of the noise covariance matrix are kept fixed. We assume that the receiver as well as the transmitter have perfect channel state information. We solve the corresponding minimax programming problems and characterize the worst-case noise and the optimal transmit strategy. In all scenarios the achievable capacity of the MIMO system with worst-case noise is equal to the capacity of some MIMO system in which either the