1,193 research outputs found
Efficient PHY Layer Abstraction under Imperfect Channel Estimation
As most existing work investigate the PHY layer abstraction under an
assumption of perfect channel estimation, it may become unreliable if there
exists channel estimation error in a real communication system. This letter
improves an efficient PHY layer method, EESM-log-SGN PHY layer abstraction, by
considering the presence of channel estimation error. We develop two methods
for implementing the EESM-log-SGN PHY abstraction under imperfect channel
estimation. We show that the effective SINR is not impacted by the channel
estimation error under multiple-input and single-output (MISO)/single-input and
single-output (SISO) configuration, which is also verified by the full PHY
simulation. The developed methods are then validated under different orthogonal
frequency division multiplexing (OFDM) scenarios.Comment: Submitted to IEEE Wireless Communications Letters. 5 pages, 7 figure
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