A New Class of Nonlinear Precoders for Hardware Efficient Massive MIMO Systems
| Autor: | Ali Bereyhi, Ralf R. Muller, Mohammad Ali Sedaghat |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
FOS: Computer and information sciences
Orthogonal frequency-division multiplexing Computer science Information Theory (cs.IT) Gaussian Computer Science - Information Theory 0208 environmental biotechnology MIMO 020206 networking & telecommunications 02 engineering and technology Topology Precoding 020801 environmental engineering Base station symbols.namesake 0202 electrical engineering electronic engineering information engineering symbols Antenna (radio) Phase-shift keying Computer Science::Information Theory |
| Zdroj: | ICC |
| Popis: | A general class of nonlinear Least Square Error (LSE) precoders in multi-user multiple-input multiple-output systems is analyzed using the replica method from statistical mechanics. A single cell downlink channel with $N$ transmit antennas at the base station and $K$ single-antenna users is considered. The data symbols are assumed to be iid Gaussian and the precoded symbols on each transmit antenna are restricted to be chosen from a predefined set $\mathbb{X}$. The set $\mathbb{X}$ encloses several well-known constraints in wireless communications including signals with peak power, constant envelope signals and finite constellations such as Phase Shift Keying (PSK). We determine the asymptotic distortion of the LSE precoder under both the Replica Symmetry (RS) and the one step Replica Symmetry Breaking (1-RSB) assumptions. For the case of peak power constraint on each transmit antenna, our analyses under the RS assumption show that the LSE precoder can reduce the peak to average power ratio to 3dB without any significant performance loss. For PSK constellations, as $N/K$ grows, the RS assumption fails to predict the performance accurately and therefore, investigations under the 1-RSB assumption are further considered. The results show that the 1-RSB assumption is more accurate. 7 pages, 6 figures, ICC 2017. arXiv admin note: text overlap with arXiv:1612.07902 |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|