Abstract
The coherent distributed space-time coding (DSTC) schemes introduced in Chaps. 2 and 3 require full channel state information (CSI) at the receiver. In reality, training and channel estimations need to be conducted to obtain the required CSI at the receiver. The estimated CSI is then used in the data transmission. This chapter is on channel training and training-based DSTC. First, the training and estimation of the global and individual channels of the relay network are considered in Sect. 5.1. Then, training-based DSTC, i.e, DSTC with estimated CSI, is studied in Sect. 5.2. After that, the training and estimation of the end-to-end channels for single-antenna relay network and multiple-antenna relay network are explained in Sects. 5.3 and 5.4, respectively.
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Notes
- 1.
This implies that for both the training and the data-transmission intervals, the transmitter and relays are assumed to use the same power. The optimal power allocations (including the power allocations between the transmitter and relays during training, between different training steps, and between the training interval and data transmission interval) are not considered. This chapter only concerns with the training and channel estimation schemes.
- 2.
This can be proved by realizing that \(\mathrm{{vec}}(\mathbf{X}_p)|\mathbf{f}\) is not Gaussian due to the \(\mathbf{W}_{2,p}\) term in (5.10).
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Jing, Y. (2013). Training and Training-Based Distributed Space-Time Coding. In: Distributed Space-Time Coding. SpringerBriefs in Computer Science. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6831-8_5
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DOI: https://doi.org/10.1007/978-1-4614-6831-8_5
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