Two-Way AF MIMO Multi-Relay System Design Using MMSE-DFE Techniques
Targeting at a better design of the analogue network coding (ANC)-assisted two-way amplify-and-forward (AF) multiple-input multiple-output (MIMO) multi-relay communication systems, we bring in the nonlinear minimal mean-squared error (MMSE)-decision feedback equalization (DFE) receiving technique to...
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| Format: | Journal Article |
| Language: | English |
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IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
2021
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| Online Access: | http://hdl.handle.net/20.500.11937/88934 |
| _version_ | 1848765117806673920 |
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| author | Lv, Y. He, Z. Rong, Yue |
| author_facet | Lv, Y. He, Z. Rong, Yue |
| author_sort | Lv, Y. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Targeting at a better design of the analogue network coding (ANC)-assisted two-way amplify-and-forward (AF) multiple-input multiple-output (MIMO) multi-relay communication systems, we bring in the nonlinear minimal mean-squared error (MMSE)-decision feedback equalization (DFE) receiving technique to jointly optimize the source precoding, relay amplifying, feed-forward and feedback matrices. Under the transmission power constraints at both source nodes and each relay node, the two-way sum mean-squared error (MSE) of the signal waveform estimation of all data streams is minimized. To solve the complicated nonconvex optimization problem with four groups of system parameters, this paper develops an iterative block coordinate descent (BCD) algorithm, which converges to at least a Nash point. On the basis of it, for mitigating the error propagation in MMSE-DFE receivers, a group of permutation matrix variables, determining the detection orders of all data streams, are further introduced in our system optimization. Moreover, in case there is no sufficiently precise channel state information (CSI), we also make an extension of the developed algorithms, yielding a robust design scheme, to handle the channel uncertainties. Numerical simulation results show that, compared with the existing linear MMSE receiving-based algorithm, our proposed nonlinear ones provide improved MSE and bit-error-rate (BER) performance as well as good robustness against the imperfect CSI, indicating a promising application prospect of this research. |
| first_indexed | 2025-11-14T11:30:09Z |
| format | Journal Article |
| id | curtin-20.500.11937-88934 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T11:30:09Z |
| publishDate | 2021 |
| publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-889342022-08-05T06:29:16Z Two-Way AF MIMO Multi-Relay System Design Using MMSE-DFE Techniques Lv, Y. He, Z. Rong, Yue Science & Technology Technology Engineering, Electrical & Electronic Telecommunications Engineering Two-way ANC MIMO relay AF multi-relay MMSE DFE error propagation imperfect CSI robust design Targeting at a better design of the analogue network coding (ANC)-assisted two-way amplify-and-forward (AF) multiple-input multiple-output (MIMO) multi-relay communication systems, we bring in the nonlinear minimal mean-squared error (MMSE)-decision feedback equalization (DFE) receiving technique to jointly optimize the source precoding, relay amplifying, feed-forward and feedback matrices. Under the transmission power constraints at both source nodes and each relay node, the two-way sum mean-squared error (MSE) of the signal waveform estimation of all data streams is minimized. To solve the complicated nonconvex optimization problem with four groups of system parameters, this paper develops an iterative block coordinate descent (BCD) algorithm, which converges to at least a Nash point. On the basis of it, for mitigating the error propagation in MMSE-DFE receivers, a group of permutation matrix variables, determining the detection orders of all data streams, are further introduced in our system optimization. Moreover, in case there is no sufficiently precise channel state information (CSI), we also make an extension of the developed algorithms, yielding a robust design scheme, to handle the channel uncertainties. Numerical simulation results show that, compared with the existing linear MMSE receiving-based algorithm, our proposed nonlinear ones provide improved MSE and bit-error-rate (BER) performance as well as good robustness against the imperfect CSI, indicating a promising application prospect of this research. 2021 Journal Article http://hdl.handle.net/20.500.11937/88934 10.1109/TWC.2020.3024898 English IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC restricted |
| spellingShingle | Science & Technology Technology Engineering, Electrical & Electronic Telecommunications Engineering Two-way ANC MIMO relay AF multi-relay MMSE DFE error propagation imperfect CSI robust design Lv, Y. He, Z. Rong, Yue Two-Way AF MIMO Multi-Relay System Design Using MMSE-DFE Techniques |
| title | Two-Way AF MIMO Multi-Relay System Design Using MMSE-DFE Techniques |
| title_full | Two-Way AF MIMO Multi-Relay System Design Using MMSE-DFE Techniques |
| title_fullStr | Two-Way AF MIMO Multi-Relay System Design Using MMSE-DFE Techniques |
| title_full_unstemmed | Two-Way AF MIMO Multi-Relay System Design Using MMSE-DFE Techniques |
| title_short | Two-Way AF MIMO Multi-Relay System Design Using MMSE-DFE Techniques |
| title_sort | two-way af mimo multi-relay system design using mmse-dfe techniques |
| topic | Science & Technology Technology Engineering, Electrical & Electronic Telecommunications Engineering Two-way ANC MIMO relay AF multi-relay MMSE DFE error propagation imperfect CSI robust design |
| url | http://hdl.handle.net/20.500.11937/88934 |