1,721,036 research outputs found
Energy-efficient architectures for multi-gigabit MIMO detection
The use of multiple antennas in wireless transmission, otherwise known as multiple-input multiple-output (MIMO), is an important technique for achieving the high datarates required by future communication systems. Already, MIMO technology has been adopted by the 3rd Generation Partnership Project Long Term Evolution, WiMAX and by recent Wireless Local Area Network standards, such as the IEEE 802.11ac. It is envisaged that multi-antenna systems will play an even more prominent role in future as more diverse platforms become interconnected and user data rates requirements increase. Although MIMO offers numerous advantages to communication systems, it also presents a number of challenges, in particular to the receiver, where the complexity of the signal detection is exacerbated by the interferences from the multiple transmit antennas. In the worst-case scenario, the signal detection in MIMO systems is an NP-hard problem, which makes its application to real-time systems impractical. As a result, low-complexity detection algorithms, with near-optimal performance, have been extensively studied in the literature in the past decade.In this thesis, a number of detection techniques for MIMO systems will be investigated, with particular focus on achieving high throughput and low power consumption. We begin by presenting the VLSI implementation of the sphere decoder (SD), which achieves the optimal maximum likelihood bit error rate (BER) performance. Although the SD has the potential of achieving a high throughput - specifically in high signal-to-noise ratios (SNR) - it also suffers a severe throughput degradation at low SNR, which is undesirable in a real-time system. This problem motivates us to investigate the K-best algorithm, which delivers a constant throughput irrespective of the channel condition. Two architectures for the K-best detector are considered: single and multi-stage architectures. The latter case is particularly interesting as the multiple stages can be utilised to achieve deeply pipelined detectors, which is attractive for high-throughput applications. The proposed multi-stage K-best detector is implemented in a 65 nm CMOS process, and achieves a throughput of 3.29 Gbps and a power consumption of 580 mW for a 64-QAM 4×4 MIMO configuration, which compares favourably with recent implementations in the literature
A survey of VLSI implementations of tree search algorithms for MIMO detection
Multiple-input multiple-output (MIMO) detection algorithms have received considerable research interest in recent years, as a result of the increasing need for high data-rate communications. Detection techniques range from the low-complexity linear detectors to the maximum likelihood detector, which scales exponentially with the number of transmit antennas. In between these two extremes are the tree search (TS) algorithms, such as the popular sphere decoder, which have emerged as attractive choices for implementing MIMO detection, due to their excellent performance-complexity trade-offs. In this paper, we survey some of the state-of-the-art VLSI implementations of TS algorithms and compare their results using various metrics such as the throughput and power consumption. We also present notable contributions that have been made in the last three decades in implementing TS algorithms for MIMO detection, especially with respect to achieving low-complexity, high-throughput designs. Finally, a number of design considerations and trade-offs for implementing MIMO detectors in hardware are presented
Hardware implementation of a low-power K-Best MIMO detector based on a hybrid merge network
Multiple input multiple output (MIMO) technology is anticipated to play a key role in future wireless communications systems. However, one of the main challenges of MIMO technology is the high complexity of the signal detection, which results in a high power consumption at the MIMO receiver. In this paper, we present the hardware implementation of a K-Best detector based on a single-stage architecture, targeted at low-rate and low-power applications. To achieve a low complexity, we optimise the sorting stage of the detector by systematically eliminating redundant comparators. Furthermore, the sorter incorporates different merge algorithms at selected stages in order to reduce the total comparator count. For a 64-QAM 4x4 MIMO system, the detector achieves a power consumption of 34 mW using the STMicroelectronics 65nm CMOS library, which compares favourably with similar works from the literature
VLSI implementation of a fully-pipelined K-best MIMO detector with successive interference cancellation
Multiple-input multiple-output (MIMO) technology is envisaged to play an important role in future wireless communications. To this end, novel algorithms and architectures are required to implement high-throughput MIMO communications at low power consumption. In this paper, we present the hardware implementation of a modified K-best algorithm combining conventional K-best detection and low-complexity successive interference cancellation at different levels of the tree search. The detector is implemented using a fully-pipelined architecture, which detects one symbol vector per clock cycle. To reduce the power consumption of the entire receiver unit, costly symbol-rate operations such as multiplication are eliminated both within and outside the detector without any impact on the performance. The hardware implementation of the modified K-best algorithm achieves area and power reductions of 16% and 38%, respectively, compared with the conventional K-best algorithm implementation, while incurring a signal-to-noise ratio penalty of 0.3 dB at the target bit error rate. Post-synthesis analysis shows that the detector achieves a throughput of 3.29 Gbps at a clock frequency of 137 MHz with a power consumption of 357 mW using a 65-nm CMOS process, which compares favourably with the state-of-the-art implementations in the literature
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
VLSI Implementation of a Scalable K-best MIMO Detector
Multiple-input multiple-output (MIMO) communication systems enable high data rates to be achieved compared to single-antenna systems, however, they also incur a huge complexity cost at the receiver. For tree search MIMO detection techniques such as the K-best algorithm, the critical path length of the detector is also found to scale linearly with the number of antennas, which limits the maximum clock frequency that can be achieved especially at larger MIMO dimensions. In this paper, we present a novel K-best architecture that incurs a fixed critical path length irrespective of the number of antennas.This is achieved by incrementally computing the interference terms of previously detected symbols rather than computing them at once like in the conventional K-best detector. Synthesis results show that the optimized detector achieves approximately a 2× maximum clock frequency improvement compared with the conventional K-best implementation. We also present an approximate sorting algorithm that determines the best candidates with a low complexity. The proposed K-best detector is implemented for a 4 × 4 64-QAM MIMO system using a folded architecture and a single core is able to achieve a throughput of 300 Mbps and an energy efficiency of 83.39 nJ/bit [query-pJ/bit], which compares favourably with other folded architectures in the literature
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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