©1999 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

©1999 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

Abstract—A simple technique for removing intersymbol inter-ference (ISI) introduced by “linearly frequency-selective ” fading channels is presented. The technique involves the optimization of the overall impulse response of the transmit and receive filters and effectively reduces the channel

This paper proposes an optimized delay diversity (ODD) scheme for frequency-selective fading channels. The novel scheme requires knowledge of the channel impulse response (CIR) autocorrelation matrix at the transmitter, but the CIRs themselves have to be available only at the receiver side. A cost

and discuss the trade-off for OFDM/TDM using MMSE-FDE between the channel capacity and the PAPR in a nonlinear and frequency-selective fading channel. Our results show that OFDM/TDM using MMSE-FDE achieves a larger capacity with a lower PAPR in comparison with the conventional OFDM. It is also shown

queue with a frequency-selective fading channel that consists of N i.i.d. sub-channels, to model a frequency selective fading channel. In the proposed model, a frequency selective fading channel is modeled by three EC functions; we also propose a simple and efficient algorithm to estimate these EC

In this paper, we study the joint transmitter and receiver design problem over frequency-selective fading channels. Motivated by the conventional MMSE-DFE, we present a simple approximate ML decision feedback equalizer at the receiver. We then perform precoding in a downlink scenario

High data rates give rise to frequency-selective channel effects. Space-time multiplexing and/or coding offer attractive means of combating fading, and boosting capacity of multi-antenna communications. As the number of antennas increases, channel estimation becomes challenging because the number

before the channel changes. In this paper we use an information-theoretic approach to find the optimal amount of training for frequency selective channels described by a block-fading model. When the training and data powers are allowed to vary, we show that the optimal number of training symbols is equal

This paper presents an iterative receiver to detect and decode parallel concatenated convolutional (PCC) coded BPSK transmissions over a frequency-selective Rayleigh fading channel. The scheme generalises work by Valenti and Woerner to frequency-selective channels. A detailed derivation