1.1 Overview of MIMO fundamentals; 1.1.1 MIMO channel models; 1.1.2 Single-user capacity metrics; 1.1.3 Multiuser capacity metrics; 1.1.4 MIMO performance gains; 1.2 Overview of cellular network
Motivated by the consideration of pilot overhead reduction for Multiple-Input Multiple-Output (MIMO) communications, we present a trellis-based joint channel and data estimation approach in this pa
In this paper the generalization of the concept of crystallized rate regions for MIMO/OFDM transmission is introduced.
In this contribution, we present a multipleinput multiple-output (MIMO) decision feedback equalizer (DFE) for high-speed chip-to-chip communication.
High-speed communication over mutually coupled channels can be severely affected by intersymbol interference (ISI) and crosstalk (XT).
Multiple-input multiple-output (MIMO) equalization at the transmitter and/or receiver has been shown to enable multi-Gbit/s communication over lowcost electrical interconnects.
This paper considers the problem of secret communication over a two-receiver multiple-input multiple-output (MIMO) Gaussian broadcast channel.
In this paper, we present a downlink multiuser Multiple-Input Multiple-Output (MIMO) joint detection scheme with secure physical layer.
In this paper, we present a downlink multiuser Multiple-Input Multiple-Output (MIMO) joint detection scheme with secure physical layer.
Decoding of space-time codes in frequency-selective fading channels is considered. The approach is based on iterative soft-in soft-out equalization and decoding.
