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This is accomplished by sending multiple replicas of the original signal over different propagation paths (spatial diversity) or by temporally displacing replicas by an offset that exceeds the fade duration (temporal diversity).
Each retransmitted packet experiences a temporal diversity and thus the probability of correct decision increases.
To exploit the temporal diversity, the receiver is commonly implemented through a Rake.
SESS provides a unique encoding scheme that can be utilized to achieve temporal diversity.
However, this effect depends on the speed of the user, since for low mobility users there is little temporal diversity.
Each OIA consists of an n-dimensional vector representing a temporal diversity, e.g., short-, mid-, and long-term assessments.
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The proposed PARAFAC signal detection algorithm fully utilizes the polarization, spatial and temporal diversities, and supports small sample sizes.
Next, we derived the closed-form BER expression of the time-diversity SESS detector that further improves the performance from the combined spatial and temporal diversities.
But so far the analysis has been conducted mostly at the aggregate level, while the temporal diversities of service usage among users have been ignored [27].
The performance analysis shows that the effects of fading can be effectively mitigated by taking advantage of spatial and temporal diversities.
This demonstrates that MIMO-SESS can provide a very effective means to exploit both spatial and temporal diversities in order to achieve robust performance in wireless environments.
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