Beamspace Channel Estimation for Millimeter-Wave Massive MIMO with Lens Antenna Array Using Quasi-Orthogonal Pilots
| Autor: | Jafar Pourrostam, Mir Mahdi Safari |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Computer science
MIMO Lens antennas 020302 automobile design & engineering 020206 networking & telecommunications 02 engineering and technology Signal-to-noise ratio 0203 mechanical engineering Multi input Telecommunications link Extremely high frequency 0202 electrical engineering electronic engineering information engineering Algorithm Computer Science::Information Theory Mimo systems Communication channel |
| Zdroj: | 2020 28th Iranian Conference on Electrical Engineering (ICEE). |
| Popis: | For two major reasons, in multi input multi output (MIMO) systems, the use of orthogonal pilots for all users is not easy: firstly, the pilot length is limited by the time that channel is nearly constant and secondly, increasing the number of users and antennas increases the length of the pilot sequences that causes wasting of resources. In this paper, the practical beamspace channel estimation using lens antenna array (LAA) with quasi-orthogonal pilots is studied for millimeter-wave (mm-wave) massive MIMO systems. LAA acutely decreases the number of needed radio-frequency chains (RFCs). Based on comparing the average of sparse blocks, we propose a new channel estimation algorithm with reliable performance. Then the beamspace channel estimation in multi cell scenarios using quasi-orthogonal pilots is formulated. Theoretical analyses and simulation results show that the studied method lessens the channel estimation error, specifically in low signal to noise ratio (SNR). |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|