Abstract-In this paper, a location-based channel estimation algorithm is proposed for massive multi-input multi-output (MI-MO) systems. By utilizing the property of the steering vector, a fast Fourier transform (FFT)-based post-processing is introduced after the conventional pilot-aided channel estimation. Under the condition that different users with the same pilot sequence have non-overlapping angle-of-arrivals (AOAs), the proposed channel estimation algorithm is capable of distinguishing these users effectively. To cooperate with the location-based channel estimation, a pilot assignment algorithm is also proposed to ensure that the users in different cells using the same pilot sequence have different AOAs at base station. The simulation results demonstrate that the proposed scheme can reduce the inter-cell interference caused by the reuse of the pilot sequence and thus improves the overall system performance significantly.
To maximally benefit from this location-aware CE algorithm, a location-aware pilot assignment was also proposed in REF for satisfying the condition of having non-overlapping AOAs for the users of different cells adopting the same pilot.
Location-based channel estimation and pilot assignment for massive MIMO systems
2015 IEEE International Conference on Communication Workshop (ICCW)
2015 IEEE International Conference on Communication Workshop (ICCW)
Computer Science