Abstract
In this paper, we derive a performance comparison between two training-based schemes for multiple-input multiple-output systems. The two schemes are the time-division multiplexing scheme and the recently proposed data-dependent superimposed pilot scheme. For both schemes, a closed-form expression for the bit error rate (BER) is provided. We also determine, for both schemes, the optimal allocation of power between the pilot and data that minimizes the BER.
Highlights
The use of multiple-input multiple-output (MIMO) antenna systems enables high data rates without any increase in bandwidth or power consumption
The receiver estimates the channel by time division, multiplexing pilot symbols with the data
High quality of the channel estimation could be achieved especially when using a large number of pilot symbols [1], this method may entail a waste of the available channel resources
Summary
The use of multiple-input multiple-output (MIMO) antenna systems enables high data rates without any increase in bandwidth or power consumption. The good performance of the MIMO systems requires a priori knowledge of the channel at the receiver. The receiver estimates the channel by time division, multiplexing pilot symbols with the data. An alternative method is the conventional superimposed training. It consists in transmitting pilots and data at the same time. In [2] and [3], a comparison between the performance of the conventional superimposed training scheme and the time-multiplexing-based scheme has been carried out. The optimal power allocation between pilot and data that maximizes a lower bound of the maximum mutual information criterion has been provided.
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