Add to ORKGIn this paper, we derive a performance comparison between two training-based schemes for Multiple-Input Multiple-Output (MIMO) 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 expressions for the Bit Error Rate (BER) is provided. We also determine, for both schemes, the optimal allocation of power between pilot and data that minimizes the BER. Key words: superimposed training sequence, MIMO systems performance, linear receiver.
In this paper, we investigate the downlink throughput performance of a massive multiple-input multip...
NoTwo training schemes namely the orthogonal pilot scheme (OPS) and the superimposed pilot scheme (S...
This paper considers training-based transmissions in massive multi-input multi-output (MIMO) systems...
International audienceIn this paper, we derive a performance comparison between two training-based s...
A simple and straightforward way of estimating the unknown communication channel is to transmit know...
In the recent past, a number of publications have suggested superimposed pilots (SIP) for channel es...
In this paper, we compare the energy efficiency of a single carrier multiple-input multiple-output c...
The problem of channel estimation for spatially correlated fading multiple-input multiple-output (MI...
Abstract—In this letter, we consider multiple-input single-output (MISO) systems with two-way traini...
In this paper the channel throughput performance is addressed for MIMO systems that employ transmiss...
This paper considers channel estimation for multiple-input multiple-output (MIMO) channels and revis...
We study the design of training-based multiple-input multiple-output systems in two block-wise trans...
The increase in the peak-to-average power ratio (PAPR) is a well known but not sufficiently addresse...
Abstract In this work an iterative time domain Least Squares (LS) based channel estimation method us...
In this paper, we present some optimal training designs for maximum likelihood (ML) and linear minim...
In this paper, we investigate the downlink throughput performance of a massive multiple-input multip...
NoTwo training schemes namely the orthogonal pilot scheme (OPS) and the superimposed pilot scheme (S...
This paper considers training-based transmissions in massive multi-input multi-output (MIMO) systems...
International audienceIn this paper, we derive a performance comparison between two training-based s...
A simple and straightforward way of estimating the unknown communication channel is to transmit know...
In the recent past, a number of publications have suggested superimposed pilots (SIP) for channel es...
In this paper, we compare the energy efficiency of a single carrier multiple-input multiple-output c...
The problem of channel estimation for spatially correlated fading multiple-input multiple-output (MI...
Abstract—In this letter, we consider multiple-input single-output (MISO) systems with two-way traini...
In this paper the channel throughput performance is addressed for MIMO systems that employ transmiss...
This paper considers channel estimation for multiple-input multiple-output (MIMO) channels and revis...
We study the design of training-based multiple-input multiple-output systems in two block-wise trans...
The increase in the peak-to-average power ratio (PAPR) is a well known but not sufficiently addresse...
Abstract In this work an iterative time domain Least Squares (LS) based channel estimation method us...
In this paper, we present some optimal training designs for maximum likelihood (ML) and linear minim...
In this paper, we investigate the downlink throughput performance of a massive multiple-input multip...
NoTwo training schemes namely the orthogonal pilot scheme (OPS) and the superimposed pilot scheme (S...
This paper considers training-based transmissions in massive multi-input multi-output (MIMO) systems...