7,138 research outputs found
Achieving "Massive MIMO" Spectral Efficiency with a Not-so-Large Number of Antennas
The main focus and contribution of this paper is a novel network-MIMO TDD
architecture that achieves spectral efficiencies comparable with "Massive
MIMO", with one order of magnitude fewer antennas per active user per cell. The
proposed architecture is based on a family of network-MIMO schemes defined by
small clusters of cooperating base stations, zero-forcing multiuser MIMO
precoding with suitable inter-cluster interference constraints, uplink pilot
signals reuse across cells, and frequency reuse. The key idea consists of
partitioning the users population into geographically determined "bins", such
that all users in the same bin are statistically equivalent, and use the
optimal network-MIMO architecture in the family for each bin. A scheduler takes
care of serving the different bins on the time-frequency slots, in order to
maximize a desired network utility function that captures some desired notion
of fairness. This results in a mixed-mode network-MIMO architecture, where
different schemes, each of which is optimized for the served user bin, are
multiplexed in time-frequency. In order to carry out the performance analysis
and the optimization of the proposed architecture in a clean and
computationally efficient way, we consider the large-system regime where the
number of users, the number of antennas, and the channel coherence block length
go to infinity with fixed ratios. The performance predicted by the large-system
asymptotic analysis matches very well the finite-dimensional simulations.
Overall, the system spectral efficiency obtained by the proposed architecture
is similar to that achieved by "Massive MIMO", with a 10-fold reduction in the
number of antennas at the base stations (roughly, from 500 to 50 antennas).Comment: Full version with appendice (proofs of theorems). A shortened version
without appendice was submitted to IEEE Trans. on Wireless Commun. Appendix B
was revised after submissio
What do you mean, \u27separate identity\u27? : an exploration of separation and individuation for second generation Korean American adolescents
The objective of this study was to explore how second generation Korean Americans negotiated separation and individuation during the life cycle phase of adolescence. This qualitative study, based on in-depth interview with 12 second generation Korean American adults, examined the participants\u27 separation – individuation process during adolescence and currently. In addition, the project addressed the applicability of the Western concept of separation-individuation theory to Confucian based collectivistic cultures. The previous research conducted on this psychodynamic process has focused on the Western ideal that this developmental stage is vital to a young person\u27s psychological formation to adulthood. There is a dearth of research on how separation and individuation occur in Asian American families and even less research has been done which is not framed within the model of individuation and differentiation. Several major findings emerged from this study which remarkably parallel the theoretical literature on the second generation Korean American experience. The primary findings of the study suggested that adolescence was not recognized as a developmental stage; separation was delayed into adulthood; participants reflected a familial rather than individualistic identity; participants adopted the culture of their parents as they grew older; participants developed adaptation strategies to negotiate their multiple identities and participants had immense gratitude for their parents and for their culture. This investigation highlights the clash of expectations and theories around separation and individuation and can provide a useful cultural lens for treating this population. Finally, participants\u27 recommendations for parents to increase communication with their children and for their children to learn more about their parents\u27 culture provided implications for future treatment and program development
Clustering of nicotinic acetylcholine receptors: from the neuromuscular junction to interneuronal synapses
Fast and accurate synaptic transmission requires high-density accumulation of neurotransmitter receptors in the postsynaptic membrane. During development of the neuromuscular junction, clustering of acetylcholine receptors (AChR) is one of the first signs of postsynaptic specialization and is induced by nerve-released agrin. Recent studies have revealed that different mechanisms regulate assembly vs stabilization of AChR clusters and of the postsynaptic apparatus. MuSK, a receptor tyrosine kinase and component of the agrin receptor, and rapsyn, an AChR-associated anchoring protein, play crucial roles in the postsynaptic assembly. Once formed, AChR clusters and the postsynaptic membrane are stabilized by components of the dystrophin/utrophin glycoprotein complex, some of which also direct aspects of synaptic maturation such as formation of postjunctional folds. Nicotinic receptors are also expressed across the peripheral and central nervous system (PNS/CNS). These receptors are localized not only at the pre- but also at the postsynaptic sites where they carry out major synaptic transmission. In neurons, they are found as clusters at synaptic or extrasynaptic sites, suggesting that different mechanisms might underlie this specific localization of nicotinic receptors. This review summarizes the current knowledge about formation and stabilization of the postsynaptic apparatus at the neuromuscular junction and extends this to explore the synaptic structures of interneuronal cholinergic synapse
Cloud for Gaming
Cloud for Gaming refers to the use of cloud computing technologies to build
large-scale gaming infrastructures, with the goal of improving scalability and
responsiveness, improve the user's experience and enable new business models.Comment: Encyclopedia of Computer Graphics and Games. Newton Lee (Editor).
Springer International Publishing, 2015, ISBN 978-3-319-08234-
Online gaming addiction: the role of sensation seeking, self-control, neuroticism, aggression, state anxiety and trait anxiety
Research into online gaming has steadily increased over the last decade, although relatively little research has examined the relationship between online gaming addiction and personality factors. This study examined the relationship between a number of personality traits (sensation seeking, self-control, aggression, neuroticism, state anxiety, and trait anxiety) and online gaming addiction. Data were collected over a 1-month period using an opportunity sample of 123 university students at an East Midlands university in the United Kingdom. Gamers completed all the online questionnaires. Results of a multiple linear regression indicated that five traits (neuroticism, sensation seeking, trait anxiety, state anxiety, and aggression) displayed significant associations with online gaming addiction. The study suggests that certain personality traits may be important in the acquisition, development, and maintenance of online gaming addiction, although further research is needed to replicate the findings of the present study
Multiuser MISO Transmitter Optimization for Inter-Cell Interference Mitigation
The transmitter optimization (i.e., steering vectors and power allocation)
for a MISO Broadcast Channel (MISO-BC) subject to general linear constraints is
considered. Such constraints include, as special cases, the sum power, the
per-antenna or per-group-of-antennas power, and "forbidden interference
direction" constraints. We consider both the optimal dirty-paper coding and the
simple suboptimal linear zero-forcing beamforming strategies, and provide
numerically efficient algorithms that solve the problem in its most general
form. As an application, we consider a multi-cell scenario with partial cell
cooperation, where each cell optimizes its precoder by taking into account
interference constraints on specific users in adjacent cells. The effectiveness
of the proposed methods is evaluated in a simple system scenario including two
adjacent cells, under different fairness criteria that emphasize the bottleneck
role of users near the cell "boundary". Our results show that "active"
Inter-Cell Interference (ICI) mitigation outperforms the conventional "static"
ICI mitigation based on fractional frequency reuse.Comment: 30 pages, 10 figures, and 1 table. revised and resubmitted to IEEE
Transactions on Signal Processin
Identification of functional transcription factor binding sites using closely related Saccharomyces species
Comparative genomics provides a rapid means of identifying functional DNA elements by their sequence conservation between species. Transcription factor binding sites (TFBSs) may constitute a significant fraction of these conserved sequences, but the annotation of specific TFBSs is complicated by the fact that these short, degenerate sequences may frequently be conserved by chance rather than functional constraint. To identify intergenic sequences that function as TFBSs, we calculated the probability of binding site conservation between Saccharomyces cerevisiae and its two closest relatives under a neutral model of evolution. We found that this probability is <5% for 134 of 163 transcription factor binding motifs, implying that we can reliably annotate binding sites for the majority of these transcription factors by conservation alone. Although our annotation relies on a number of assumptions, mutations in five of five conserved Ume6 binding sites and three of four conserved Ndt80 binding sites show Ume6- and Ndt80-dependent effects on gene expression. We also found that three of five unconserved Ndt80 binding sites show Ndt80-dependent effects on gene expression. Together these data imply that although sequence conservation can be reliably used to predict functional TFBSs, unconserved sequences might also make a significant contribution to a species' biology
Optimal Capacity Conversion for Product Transitions Under High Service Requirements
We consider the capacity planning problem during a product transition in which demand for a new-generation product gradually replaces that for the old product. Capacity for the new product can be acquired both by purchasing new production lines and by converting existing production lines for the old product. Furthermore, in either case, the new product capacity is “retrofitted” to be flexible, i.e., to be able to also produce the old product. This capacity planning problem arises regularly at Intel, which served as the motivating context for this research. We formulate a two-product capacity planning model to determine the equipment purchase and conversion schedule, considering (i) time-varying and uncertain demand, (ii) dedicated and flexible capacity, (iii) inventory and equipment costs, and (iv) a chance-constrained service-level requirement. We develop a solution approach that accounts for the risk-pooling benefit of flexible capacity (a closed-loop planning approach) and compare it with a solution that is similar to Intel's current practice (an open-loop planning approach). We evaluate both approaches with a realistic but disguised example and show that the closed-loop planning solution leads to savings in both equipment and inventory costs and matches more closely the service-level targets for the two products. Our numerical experiments illuminate the cost trade-offs between purchasing new capacity and converting old capacity and between a level capacity plan versus a chase capacity plan.Semiconductor Research Corporation (Grant 2215.001
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