Random beamforming for multi cell multiple input multi output (MIMO) systems

... Matched Filter MIMO Multiple Input Multiple Output MISO Multiple Input Single Output MMSE Minimum-Mean-Square Error xvii H D NGUYEN LIST OF ACRONYMS MU Multi- User OBF Orthogonal Beamforming PDF Probability ... spatial diversity on the rate performance of RBF is not yet fully characterized even in a single -cell setup We thus study a multicell multiple- input multiple- output (MIMO) broadcast system with RBF ... 175 vi RBF FOR MULTI- CELL MIMO SYSTEMS H D NGUYEN Abstract Random beamforming (RBF) is a practically favourable transmission scheme for multiuser multi- antenna downlink systems since it...

Channel estimation and detection for multi input multi output (MIMO) systems

... 33 Channel Estimation and Detection for MIMO systems 4.1 Decouple Maximum Likelihood (DEML) 4.2 Channel estimation and Detection for quasi-static flat fading 34 34 channels ... 4.2.2 Channel estimation 38 4.2.3 Symbol Detection 39 v 4.3 4.4 4.5 Channel estimation and detection for quasi-static frequency selective fading channels ... 40 4.3.2 Channel estimation 44 4.3.3 Symbol Detection 44 Channel estimation and detection for flat fast fading channels 46 4.4.1 Sytem...

báo cáo hóa học: " Orthogonal beamforming using Gram-Schmidt orthogonalization for multi-user MIMO downlink system" pdf

... represents generated orthogonal beamforming vectors Step IV Proposed Orthogonal Beamforming Algorithm In this section, we propose a new orthogonal beamforming algorithm using Gram-Schmidt orthogonalization ... doi:10.1186/1687-1499-2011-41 Cite this article as: Matsumura and Ohtsuki: Orthogonal beamforming using Gram-Schmidt orthogonalization for multi-user MIMO downlink system EURASIP Journal on Wireless Communications ... unitary beamforming vector set using GramSchmidt orthgonalization using the beamforming vector for the pivotal user Then, the pivotal user can use the optimal beamforming vector because of using...

Instruction set customization for multi tasking embedded systems

... custom instructions with high performance potential for a single task application 1.2 Instruction- Set Customization for Multi- tasking Embedded Systems In multi- tasking embedded systems, multiple ... in embedded systems, instruction- set customization for multi- tasking embedded systems has largely remained unexplored Envisioning the crucial need of design methodologies for instruction- set customization ... respectively) Therefore, it is non-trivial to apply instruction set customization for a single task to multi- tasking embedded system with real-time constraints We need efﬁcient instructionset customization...

Tài liệu Multiple-Input-Multiple- Output (MIMO) Systems doc

... Topics        Motivations for the development of MIMO systems MIMO System Model and Capacity Studies Design Criterion for MIMO Systems (Diversity Vs Spatial Multiplexing) Some actual architectures ... Bandwidth (frequency spectrum) Used Real-life Issues Antenna Configurations  Single-Input-Single -Output (SISO) antenna system User data stream channel User data stream   Theoretically, the 1Gbps ... 16-QAM 64-QAM  Scheme The Whole point: Given an acceptable Pe , realistic power and BW limits, MIMO Systems using smart modulation schemes provide much higher spectral efficiencies than traditional...

Detection schemes for multi antenna FH MFSK systems in the presence of multiple follower jamming

... used for carrying out symbol detection in the presence of jamming signals and white noise in FHSS communication systems Taking the effect of follower jamming and flat fading into account, two jamming ... estimated, and so, the lower the jamming power (or the higher the signal to jamming ratio), the less accurate the jamming estimates The increased inaccuracy in the jamming estimates leads in turn to ... estimate the hopping frequency and hop transition time at the same time 1.2.4 Typical Types of Jamming Against FHSS In FHSS systems, there are four main kinds of intentionally jamming sources These...

A monte carlo method for multi area generation system reliability assessment

... Table UXE Sensitivity Indices of System and Area to Area Generation and Tie Line Capacities i Case (in Whhear/llW) n I l I Area I Area I Area I Area I System Table I l 1 I I I Area I Area Area ... the available area generation capacity and the area load In the supported set, the available area generation capacity is smaller than the area load A "required load" is defined for each area in ... -10.71907 Table LOEE Sensitivity Indices of System and Area to Area Generation and Tie Line Capacities in Case (in twh/year/W) I -1-1-1 I Area I Area I Area Area I Sytm I Area I Area I I -0.56784...

Tài liệu PERFORMANCE AND SAFETY STUDIES FOR MULTI-APPLICATION, SMALL, LIGHT WATER REACTOR ( MASLWR) pptx

... steady-state performance characteristics Reactor power (MW) Steam Pressure (MPa) Outlet Quality Steam Temperature (K) Saturation temperature (K) Feedwater Temperature (K) Feedwater Flowrate (kg/s) Primary ... Flowrate (kg/s) Primary pressure (MPa) Primary mass flow rate (kg/s) Reactor inlet temperature (K) Reactor outlet temperature (K) Saturation temperature (K) Reactor outlet void fraction 150 1.52 ... Transient Performance As noted, the transient performance characterization was performed with an input file containing an early steam generator tube bundle configuration, and therefore the following...

Tài liệu Báo cáo khoa học: "A Hybrid Hierarchical Model for Multi-Document Summarization" ppt

... hierarchical model and regression model to score sentences in new documents, eliminating the need for building a generative model for new document clusters characterize their candidacy for inclusion ... based on greedy Summary-Focused Hierarchical Model Our MDS system, hybrid hierarchical summarizer, HybHSum, is based on an hybrid learning approach to extract sentences for generating summary We discover ... long as they decrease KL-divergence HybFSum (Hybrid Flat Summarizer): To investigate the performance of hierarchical topic model, we build another hybrid model using ﬂat LDA (Blei et al., 2003b)...

Tài liệu Báo cáo khoa học: "Unsupervised Topic Modelling for Multi-Party Spoken Discourse" ppt

... the topic assignment for each word, zu,i , conditioned on all other topic assignments, z−(u,i) , all topic change indicators, c, and all words, w; and then drawing the topic change indicator for ... on the distribution over topics: with high probability, the distribution for utterance u is the same as for utterance u−1; otherwise, we sample a new distribution over topics This pattern of dependency ... each topic Tj is a multinomial distribution φ(j) over words, and the prob(j) ability of the word w under that topic is φw The uth utterance is generated by sampling a topic assignment zu,i for...

Tài liệu Báo cáo khoa học: "A Tool for Multi-Word Expression Extraction in Modern Greek Using Syntactic Parsing" pdf

... Patakis, Athens In Greek Ivan A Sag, Timothy Baldwin, Francis Bond, Ann Copestake, and Dan Flickinger 2002 Multiword expressions: A pain in the neck for NLP In Proceedings of CICLING 2002, pages ... word was combined with the appropriate sufﬁxes, according to a given in ectional paradigm A number of 25 in ection classes have been deﬁned for Greek nouns, 11 for verbs, and 10 for adjectives ... displaying them in the original context The following functions are provided: Filtering and sorting The results which will be displayed can be selected according to seve- 47 ral criteria: the syntactic...

cooperative robotics for multi target observation docx

... Activation signal Seek out Targets Observe Known, Nearby Targets Sensors Motiv Beh Motiv Beh Inter-Robot Communication cross-inhibition Control Schematic for CMOMMT, in ALLIANCE Formalism t Gab&sX2pâĐ&YĐYe#Ê&dD&YdppdhaYYdhsGb9s`rCâapph#Y#pihVI2php&Câaê9spdâ#~fsfr ... F)Đâ)&â7ÂA@9)Đ707â54Â)320ÂƠ)('&$Â"Ư ÂĐƠâĐƠÂÂ e Magnitude of force vector Distance between robot and target -1 do1 do3 do2 predictive tracking range Robot -Target n tu XheP PX g P e P re WP PeWXP IP q r ... Â Â Â Â Avg distance between target and nearest robot ăă 500 1000 1500 2000 2500 ăă M OM CM A- 1000 2000 3000 4000 5000 6000 7000 3500 4000 Robots, Targets 1Robot, Target t Yu ' Ê|Ă ~ssĐ%Ơ...

Báo cáo khoa học: "Community Answer Summarization for Multi-Sentence Question with Group L1 Regularization" pdf

... 1: An example of question with incomplete answer problem from Yahoo! Answers The “best answer seems to miss valuable information and will not be ideal for re-use when similar question is asked ... complex multi-sentence question as a question with the following properties: Deﬁnition: A complex multi-sentence question is one that contains multiple sub-questions In the cQAs scenario a question ... in answer summarization for addressing the incomplete answer problem in cQAs 5.3 An Example of Summarized Answer Figure 2: The accumulated weight of each site feature group in the group L1 -regularization...

Báo cáo khoa học: "A Bio-inspired Approach for Multi-Word Expression Extraction" doc

... For example, we improve MWE mining result by EBP detection Comparisons with variant n-gram approaches, which are the leading approaches, are performed for verifying the effectiveness of our approach ... approaches for F [i, j] and E[i, j] are the same, here only E[i, j] is given its detailed explanation The performance of our EBP tagger is 95% accuracy for base noun phrase and 90% accuracy for ... some alternative rules (-y + ies), etc A set of tense forms, such as past, present and future forms, are also transformed into original forms These tokenlized sequences will improve extraction...

Báo cáo khoa học: "A Flexible Stand-Off Data Model with Query Language for Multi-Level Annotation" ppt

... concise way to formulate certain types of queries for multi-level annotated corpora Queries are automatically converted into the underlying query language and then executed A query in simpliﬁed ... associated query language NXT Search (Heid et al., 2004) is a powerful declarative language for querying diverse relations (incl pointers), supporting quantiﬁcation and constructs like forall and ... basedata query token consists of a regular expression in single quotes, which must exactly match one basedata element The query ’[Tt]he’ matches all deﬁnite articles, but not e.g ether or there For...

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