Optimum Linear Design of Two-Hop MIMO Relay Networks With QoS Requirements
This paper investigates the optimal design issue of general two-hop amplify-and-forward (AF) MIMO relay networks with one source, one destination and multiple relays, each having multiple antennas. Beginning with the study of the mean-square error (MSE) matrix of the system and the use of Wiener fil...
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| Vydáno v: | IEEE transactions on signal processing Ročník 59; číslo 5; s. 2257 - 2269 |
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| Hlavní autoři: | , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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New York, NY
IEEE
01.05.2011
Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| ISSN: | 1053-587X, 1941-0476 |
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| Abstract | This paper investigates the optimal design issue of general two-hop amplify-and-forward (AF) MIMO relay networks with one source, one destination and multiple relays, each having multiple antennas. Beginning with the study of the mean-square error (MSE) matrix of the system and the use of Wiener filter for the destination processing, a constrained optimization problem with respect to the unknown relay precoder matrix is formulated with a goal of minimizing the total relay transmit power subject to the MSE-based quality of service (QoS) requirement on each data stream. As the original optimization problem is very difficult to solve, a lower bound of the cost function is pursued to achieve an approximate optimization problem. The modified problem is then solved under the perfect channel state information (CSI) condition using the diagonalization method along with the majorization theory to obtain optimal relay precoder with either nonoptimal or optimal source precoding. It is shown that a convex relay precoding solution is available in the case of nonoptimal source precoding whereas a joint optimal source and relay precoder can be obtained through a multilevel waterfilling algorithm. The optimal design of the relay network under imperfect CSI condition is also considered by modifying the optimization problem with the channel mean and covariance matrix, leading to a robust optimization design of the relay precoder. The proposed technique is validated by Monto Carlo simulations and is also compared with one existing method. |
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| AbstractList | This paper investigates the optimal design issue of general two-hop amplify-and-forward (AF) MIMO relay networks with one source, one destination and multiple relays, each having multiple antennas. Beginning with the study of the mean-square error (MSE) matrix of the system and the use of Wiener filter for the destination processing, a constrained optimization problem with respect to the unknown relay precoder matrix is formulated with a goal of minimizing the total relay transmit power subject to the MSE-based quality of service (QoS) requirement on each data stream. As the original optimization problem is very difficult to solve, a lower bound of the cost function is pursued to achieve an approximate optimization problem. The modified problem is then solved under the perfect channel state information (CSI) condition using the diagonalization method along with the majorization theory to obtain optimal relay precoder with either nonoptimal or optimal source precoding. It is shown that a convex relay precoding solution is available in the case of nonoptimal source precoding whereas a joint optimal source and relay precoder can be obtained through a multilevel waterfilling algorithm. The optimal design of the relay network under imperfect CSI condition is also considered by modifying the optimization problem with the channel mean and covariance matrix, leading to a robust optimization design of the relay precoder. The proposed technique is validated by Monto Carlo simulations and is also compared with one existing method. |
| Author | Luxi Yang Chen Liu Youhua Fu Wei-Ping Zhu |
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| Keywords | joint optimization Diagonalization Parameter estimation Relay Relay network Amplify-and-forward (AF) Optimal design Mean square error Wiener filter Coding Channel estimation Cost function Routing protocols Pretreatment Multilevel system Antenna array Matrix system MIMO system Lower bound quality of service (QoS) Transmission protocol MIMO relay networks Covariance matrix Algorithm Constrained optimization Simulation Signal processing Service quality |
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| SubjectTerms | Algorithms Amplify-and-forward (AF) Antennas Applied sciences Channels Coding, codes Computer simulation Cost function Design engineering Design optimization Detection, estimation, filtering, equalization, prediction Exact sciences and technology Information, signal and communications theory joint optimization Joints MIMO MIMO relay networks Miscellaneous Optimization Quality of service quality of service (QoS) Relay Relay networks Relays Signal and communications theory Signal processing Signal to noise ratio Signal, noise Studies Telecommunications and information theory |
| Title | Optimum Linear Design of Two-Hop MIMO Relay Networks With QoS Requirements |
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