With the popularity of versatile mobile multimedia applications and the pressing need to reduce energy consumption in future wireless networks, new challenges have been posed to maintain adequate coverage, quality of ...
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With the popularity of versatile mobile multimedia applications and the pressing need to reduce energy consumption in future wireless networks, new challenges have been posed to maintain adequate coverage, quality of service, and reliability for big-scale multimedia traffic. Specifically, in this paper we introduce a cooperative multimedia relay framework and investigate premium-regular-diversity-based multimedia resource allocation treatment approaches. We also comparatively study five generic wireless multimedia relay scenarios including direct transmission, single relay, multiple pure relays, relay cooperation with space-time coding, and relay coordination with distributed beamforming. The key contribution of the new relay resource allocation framework is that packet importance priority diversity at the application layer is jointly considered with spatial diversity and relay coordination protocols at lower layers. Premium packets and regular packets of multimedia streams are adaptively allocated to relay nodes, and transmission resources are optimally allocated with regards to energy budget. Extensive simulation results demonstrate that the proposed resource allocation paradigm using multirelay coordination has significant video quality enhancement and energy saving potentials to support future big-data wireless multimedia traffic.
In this correspondence, we propose an algorithm for computing the distance spectrum of a space-time trellis code achieving maximal diversity gain in quasi-static fading channels. We further present a state reduction t...
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In this correspondence, we propose an algorithm for computing the distance spectrum of a space-time trellis code achieving maximal diversity gain in quasi-static fading channels. We further present a state reduction technique for trellis codes that can reduce the complexity of the distance spectrum computation. We provide numerical results supporting the empirical evidence that a truncated union bound obtained from the distance spectrum provides an accurate characterization of the relative performance ordering of different space-time trellis codes and, therefore, it offers a tool for better space-time trellis code design.
Multiuser detection for space-time coded synchronous multiple-access systems in the presence of independent Rayleigh fading is considered. Under the assumption of quasi-static fading, it is shown that optimal (full di...
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Multiuser detection for space-time coded synchronous multiple-access systems in the presence of independent Rayleigh fading is considered. Under the assumption of quasi-static fading, it is shown that optimal (full diversity-achieving) space-time codes designed for single-user channels, can still provide full diversity in the multiuser channel. The joint optimal maximum likelihood multiuser detector, which can be implemented with a Viterbi-type algorithm, is derived for Such space-time coded systems. Low complexity, partitioned detector structures that separate the multiuser detection and space-time decoding into two stages are also developed. Both linear and nonlinear multiuser detection schemes are considered for the first stage of these partitioned space-time multiuser receivers. Simulation results show that these latter methods achieve performance competitive with the single-user bound for space-time coded systems.
space-time coding has been receiving much attention recently due to its potentials offered by fully exploiting the spatial and temporal diversities of multiple transmit and receive antennas, A differential space-time ...
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space-time coding has been receiving much attention recently due to its potentials offered by fully exploiting the spatial and temporal diversities of multiple transmit and receive antennas, A differential space-time modulation (DSTM) scheme was recently proposed for demodulation without channel state information, which is attractive in fast fading channels where accurate channel estimates are difficult to obtain. However, this technique is sensitive to interference and is likely to deteriorate or even break down in a wireless environment, where interference (including intentional and unintentional jamming) signals exist. We propose a new coding and modulation scheme, referred to as the differential space-code modulation (DSCM), which is interference resistant, Our focus is on single-user communications, We show that DSCM outperforms DSTM significantly when interference is present. This advantage is achieved at the cost of a lower data rate or a wider bandwidth or a combination of both. To alleviate this problem, a high-rate DSCM (HR-DSCM) scheme is also presented, which increases the data rate considerably at the cost of a slightly higher bit-error rate (BER), while still maintaining the interference suppression capability.
Multiple-input-multiple-output. (MIMO) systems offer much capacity gain over single antenna approaches. The recently proposed multistratum space-time code (MSSTC) is such a MIMO-scheme among many others. In this paper...
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Multiple-input-multiple-output. (MIMO) systems offer much capacity gain over single antenna approaches. The recently proposed multistratum space-time code (MSSTC) is such a MIMO-scheme among many others. In this paper, a generalization of the multistratum idea is presented and leads to the new family of multistratum-permutation codes. It is shown, that this scheme can achieve a higher link capacity than the MSSTC or Vertical-Bell Labs Layered space-time (V-BLAST). Scheme examples are presented for a 4 x 4 antenna system transmitting four data streams in parallel. They also show a promising performance for successive interference cancellation (SIC) receiver algorithms with a realistic complexity.
In this short paper, a new tensor-based receiver based on the fourth-order PARATUCK2 model combined with a structured PARAFAC model is formulated to solve the problem of channel estimation in a MIMO system. The propos...
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In this short paper, a new tensor-based receiver based on the fourth-order PARATUCK2 model combined with a structured PARAFAC model is formulated to solve the problem of channel estimation in a MIMO system. The proposed receiver is based on a modified space-time coding scheme that incorporates a formatting filter. Such a formatting filter is formed by a precoding matrix and a mapping matrix that load the coded signals to transmit antennas. The proposed receiver is divided into two steps. In the first step, closed-form channel estimation is performed by means of Kronecker and Khatri-Rao factorizations that rely on the singular value decomposition and the eigenvalue decomposition, respectively. In the second step, the transmitted symbols are linearly decoded from the estimated channel by exploiting the proposed space-time coding structure. Simulation results are presented to evaluate the performance of our tensor-based receiver in terms of NMSE and BER, demonstrating an improved performance compared to competing schemes.
MIMO-STBC-OFDM systems mitigate inter symbol interference and frequency-selective fading caused by multi-path propagation in modern high-data-rate wireless communication. Error correction codes use redundancy to corre...
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MIMO-STBC-OFDM systems mitigate inter symbol interference and frequency-selective fading caused by multi-path propagation in modern high-data-rate wireless communication. Error correction codes use redundancy to correct errors that still occur. No systematic analysis of their performance using a common link configuration is found in the literature. We fill this gap in this simulation study using a common MIMO-STBC-OFDM communication link, transferring data at a symbol rate of 100 Mbps. We find that (a) for all code rates, low-density parity-check code performs best with BPSK and to an extent with QPSK and (b) 1/2-rate convolutional code works well for all symbol mapping schemes.
The quest for reliable high-rate wireless links motivates fading-resilient and bandwidth-efficient communication systems capable of capitalizing on available forms of diversity. This tutorial focuses on linear complex...
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The quest for reliable high-rate wireless links motivates fading-resilient and bandwidth-efficient communication systems capable of capitalizing on available forms of diversity. This tutorial focuses on linear complex field (LCF) coding-a powerful tool that complements the traditional Galois field (GF) coding, in enabling diversity transmissions over single- and multi-antenna fading channels. Performance and capacity analyses are provided, along with systematic guidelines for constructing LCF encoders, and options available to the designer for selecting LCF decoders. Emphasis is placed on high-performance and high-rate designs, and the emerging performance-rate-complexity trade-offs. Copyright (C) 2002 John Wiley Sons, Ltd.
We consider the problem of selecting a subset of transmit antennas in MIMO systems to minimize error probability when only partial channel information is available at the transmitter. An upper bound for error probabil...
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We consider the problem of selecting a subset of transmit antennas in MIMO systems to minimize error probability when only partial channel information is available at the transmitter. An upper bound for error probability of space-time coded transmit antenna selection scheme conditioned on the channel state information is presented. Based on the performance analysis, a criterion of selecting a subset of available transmit antennas to minimize the upper bound on the PEP is proposed. In contrast to other transmit antenna selection schemes for uncoded transmission or with a fixed number of antennas within the selection subset in the literature, the proposed scheme can adaptively select both a variable number of transmit antennas and their corresponding space-time codes for transmission. Furthermore, we present pragmatic space-time trellis coding schemes for slow Rayleigh fading channels. The principal advantage of the schemes is that a single encoder and decoder can be used for systems with a variable number of transmit antennas. The performance of the pragmatic space-time codes with adaptive antenna selection and the effect of the imperfect channel estimation on performance are evaluated by simulations. It is shown that the adaptive selection offers considerable antenna selection gain relative to the antenna selection system with a fixed number of antennas within the selection subset.
The problem of designing a front-end prefilter to improve the performance and/or reduce the complexity of maximum likelihood sequence estimation equalization of space-time-coded signals is addressed in this paper. The...
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The problem of designing a front-end prefilter to improve the performance and/or reduce the complexity of maximum likelihood sequence estimation equalization of space-time-coded signals is addressed in this paper. The front-end prefilter performs channel shortening without excessive noise enhancement and is constrained to be a finite impulse response filter for practical implementation. Transmission scenarios emphasized assume two transmit antennas (with delay diversity or space-time trellis coding) and either one or two receive antennas. Extensions to more antennas are straightforward. Various design parameters (such as number of prefilter taps, number of equalizer states, and decision delay) are optimized using Monte Carlo simulations in a typical urban EDGE environment.
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