Abstract
The combination of baseband and analog precoding for multiple-input multiple-output (MIMO) systems is considered in this paper which is referred to as hybrid precoding. The system capacity, as a design criterion, is maximized subject to unit modulus constraints on the elements of the analog precoder (phase shifters), and a total power constraint. This is a non-convex problem due to the product of the analog and baseband precoder variables. The proposed technique suggests computing non-trivial complex derivatives of the objective and constraints, analytically, in order to develop an iterative gradient-based sequential optimization algorithm to solve the non-convex problem. Promising simulation results show that the solution of the proposed algorithm is sufficiently close to the optimal (full-baseband) precoder solution, regardless of the channel characteristics.
| Original language | English |
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| Title of host publication | 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings |
| Subtitle of host publication | ICASSP 2017 |
| Place of Publication | Piscataway, NJ |
| Publisher | IEEE |
| Pages | 3489-3493 |
| Number of pages | 5 |
| ISBN (Electronic) | 978-1-5090-4117-6 |
| DOIs | |
| Publication status | Published - 2017 |
| Event | ICASSP 2017: 42nd IEEE International Conference on Acoustics, Speech and Signal Processing - The Internet of Signals - Hilton New Orleans Riverside, New Orleans, LA, United States Duration: 5 Mar 2017 → 9 Mar 2017 Conference number: 42 http://www.ieee-icassp2017.org/ |
Conference
| Conference | ICASSP 2017 |
|---|---|
| Abbreviated title | ICASSP |
| Country/Territory | United States |
| City | New Orleans, LA |
| Period | 5/03/17 → 9/03/17 |
| Internet address |
Keywords
- hybrid precoding
- multiple-input multiple-output (MIMO)
- nonlinear optimization
- sequential quadratic programming