On the DMT of TDD-SIMO Systems with Channel-Dependent Reverse Channel Training
B. N. Bharath, Chandra R. Murthy

TL;DR
This paper analyzes the DMT of TDD-SIMO systems with channel-dependent reverse training, proposing schemes that significantly improve diversity order and DMT performance over conventional methods, especially with perfect or noisy CSI.
Contribution
It introduces a channel-dependent fixed-power training scheme and a three-way training scheme that enhance DMT performance in TDD-SIMO systems with various CSI conditions.
Findings
Quadratic increase in diversity order with receive antennas under perfect CSIR.
Proposed schemes outperform orthogonal RCT in DMT and diversity order.
Nearly the same diversity order achieved with noisy CSIR and CSIT as with perfect CSIR.
Abstract
This paper investigates the Diversity-Multiplexing gain Trade-off (DMT) of a training based reciprocal Single Input Multiple Output (SIMO) system, with (i) perfect Channel State Information (CSI) at the Receiver (CSIR) and noisy CSI at the Transmitter (CSIT), and (ii) noisy CSIR and noisy CSIT. In both the cases, the CSIT is acquired through Reverse Channel Training (RCT), i.e., by sending a training sequence from the receiver to the transmitter. A channel-dependent fixed-power training scheme is proposed for acquiring CSIT, along with a forward-link data transmit power control scheme. With perfect CSIR, the proposed scheme is shown to achieve a diversity order that is quadratically increasing with the number of receive antennas. This is in contrast with conventional orthogonal RCT schemes, where the diversity order is known to saturate as the number of receive antennas is increased,…
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