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Analytical models for channel aging and synchronization errors for base station cooperation

: Manolakis, K.; Oberli, C.; Herrera, L.; Jungnickel, V.

Institute of Electrical and Electronics Engineers -IEEE-; European Association for Signal Processing -EURASIP-:
21st European Signal Processing Conference, EUSIPCO 2013. Proceedings. Vol.1 : 9-13 September 2013, Marrakech, Morocco
Piscataway, NJ: IEEE, 2013
ISBN: 978-1-4799-3687-8
ISBN: 9780992862602
European Signal Processing Conference (EUSIPCO) <21, 2013, Marrakech>
Conference Paper
Fraunhofer HHI ()

Base station cooperation is a powerful technique for eliminating inter-cell interference and enhancing spectral efficiency in cellular networks. However, impairment effects due to channel time variance, channel estimation, feedback quantization and imperfect synchronization among base stations are limiting the potential gains. In this paper, we present a comprehensive signal model for multi-user multi-cellular systems with cooperating base stations, which includes those essential impairments. The effect of each impairment is captured by its mean square error (MSE), for which exact analytical expressions and accurate approximations are derived and numerically verified. Those MSE expressions can be used for link-layer abstraction, system-level evaluation and signal to interference ratio (SIR) analysis. We evaluate the spectral efficiency of cooperative networks considering a real-world scenario and find that channel aging has the largest impact on performance degradation.