You limited your search to:
Partner:
UNT College of Engineering
Channel Assignment and Load Distribution in a Power-Managed WLAN
Date: 2007
Creator: Haidar, Mohamad; Akl, Robert G.; Al-Rizzo, Hussain Mudhaffar Younis, 1957- & Chan, Yupo
Description: This paper discusses a proposed algorithm. Abstract: For a Wireless Local Area Network (WLAN), the authors propose an algorithm based on power management of Access Points (APs) to improve load distribution and provide an improved channel assignment. The authors formulate an algorithm that adjusts the transmitted power of the beacon packets of the Most Congested Access Point (MCAP). The transmitted power of the data packets is not altered thus avoiding auto-rating. The algorithm then determines a user assignment that distributes the load efficiently. Finally, the authors apply a channel assignment algorithm to each AP with the objective of minimizing the total interference over the WLAN. Results show that the proposed algorithm is capable of significantly reducing the congestion at the MCAPs, providing better load distribution, and enhancing channel assignment.
Contributing Partner: UNT College of Engineering
Permallink:digital.library.unt.edu/ark:/67531/metadc30835/
Channel Assignment in an IEEE 802.11 WLAN Based on Signal-to-Interference Ratio
Date: May 2008
Creator: Haidar, Mohamad; Ghimire, Rabindra; Al-Rizzo, Hussain Mudhaffar Younis, 1957-; Akl, Robert G. & Chan, Yupo
Description: Abstract: In this paper, we propose a channel-assignment algorithm at the Access Points (APs) of a Wireless Local Area Network (WLAN) in order to maximize Signal-to-Interference Ratio (SIR) at the user level. It begins with the channel assignment at the APs, which is based on minimizing the total interference between APs. Based on this initial assignment, the authors calculate the SIR for each user. The algorithm can be applied to any WLAN, irrespective of the user distribution and user load. Results show that the proposed algorithm is capable of significantly increasing the SIR over the WLAN, which in turn improves throughput.
Contributing Partner: UNT College of Engineering
Permallink:digital.library.unt.edu/ark:/67531/metadc30844/
Corpus-based and Knowledge-based Measures of Text Semantic Similarity
Date: July 2006
Creator: Mihalcea, Rada, 1974-; Corley, Courtney & Strapparava, Carlo, 1962-
Description: Abstract: This paper presents a method for measuring the semantic similarity of texts, using corpus-based and knowledge-based measures of similarity. Previous work on this problem has focused mainly on either large documents (e.g. text classification, information retrieval) or individual words (e.g. synonymy tests). Given that a large fraction of the information available today, on the Web and elsewhere, consists of short text snippets (e.g. abstracts of scientific documents, image captions, product descriptions), in this paper the authors focus on measuring the semantic similarity of short texts. Through experiments performed on a paraphrase data set, the authors show that the semantic similarity method out-performs methods based on simple lexical matching, resulting in up to 13% error rate reduction with respect to the traditional vector-based similarity metric.
Contributing Partner: UNT College of Engineering
Permallink:digital.library.unt.edu/ark:/67531/metadc30981/
A Corpus-based Approach to Finding Happiness
Date: March 2006
Creator: Liu, Hugo & Mihalcea, Rada, 1974-
Description: This paper discusses how to locate emotions. Abstract: What are the sources of happiness and sadness in everyday life? In this paper, the authors employ 'linguistic ethnography' to seek out where happiness lies in our everyday lives by considering a corpus of blogposts from the LiveJournal community annotated with happy and sad moods. By analyzing this corpus, the authors derive lists of happy and sad words and phrases annotated by their 'happiness factor'. Various semantic analyses performed with this wordlist reveal the happiness trajectory of a 24-day (3am and 9-10p are most happy), and a 7-day week (Wednesdays are saddest), and compare the socialness and human-centeredness of happy descriptions versus sad descriptions. The authors evaluate our corpus-based approach in a classification task and contrast our wordlist with emotionally-annotated wordlists produced by experimental focus groups. Having located happiness temporally and semantically within this corpus of everyday life, the paper concludes by offering a corpus-inspired livable recipe for happiness.
Contributing Partner: UNT College of Engineering
Permallink:digital.library.unt.edu/ark:/67531/metadc30980/
Performance Enhancement by Eliminating Redundant Function Execution
Date: April 2006
Creator: Chen, Peng; Kavi, Krishna & Akl, Robert G.
Description: This paper discusses performance enhancement by eliminating redundant function execution. Programs often call the same function with the same arguments, yielding the same results. The authors call this phenomenon, "function reuse". Previously, we have shown such a behavior for some of the SPEC2000 integer benchmarks using HP ATOM instrumentation tools. However, this required extensive analysis by hand, and assumptions regarding side-effects caused by functions. In this paper, the authors modified a well-known architecture simulator, SimpleScalar, to analyze multiple benchmarks to investigate the function reuse behavior.
Contributing Partner: UNT College of Engineering
Permallink:digital.library.unt.edu/ark:/67531/metadc30830/
Cell Design to Maximize Capacity in CDMA Networks
Date: April 2002
Creator: Akl, Robert G.
Description: This presentation discusses the code division multiple access (CDMA) inter-cell effects, capacity regions, maximizing network capacity, mobility, a call admission control algorithm, and network performance.
Contributing Partner: UNT College of Engineering
Permallink:digital.library.unt.edu/ark:/67531/metadc30929/
CDMA Network Design
Date: May 2002
Creator: Akl, Robert G.
Description: This presentation gives an overview of code-division multiple access (CDMA) and inter-cell effects, network capacities, sensitivity analysis of base station locations, pilot-signal power, and transmission power of the mobiles, and concludes with numerical results.
Contributing Partner: UNT College of Engineering
Permallink:digital.library.unt.edu/ark:/67531/metadc30928/
Cell Placement in a CDMA Network
Date: September 1999
Creator: Akl, Robert G.; Hegde, Manju V.; Naraghi-Pour, Mort & Min, Paul S.
Description: This presentation discusses research on cell placement in a CDMA network. In order to enable iterative cell placement the authors use a computationally efficient iterative process to calculate the inter-cell and intra-cell interferences as a function of pilot-signal power and base station location.
Contributing Partner: UNT College of Engineering
Permallink:digital.library.unt.edu/ark:/67531/metadc81375/
CCAP: A Strategic Tool for Managing Capacity of CDMA Networks
Date: 1998
Creator: Akl, Robert G.
Description: This presentation discusses CCAP, a strategic tool for managing capacity of CDMA networks. CCAP is a graphical interactive tool for CDMA that calculates the coverage area, call capacity of a CDMA network, and subscriber network performance to optimize capacity.
Contributing Partner: UNT College of Engineering
Permallink:digital.library.unt.edu/ark:/67531/metadc81373/
Capacity Allocations in Multi-cell UMTS Networks for Different Spreading Factors with Perfect and Imperfect Power Control
Date: January 2006
Creator: Akl, Robert G. & Nguyen, Son
Description: This presentation discusses user and interference models, wideband code division multiple access (WCDMA) capacity with perfect and imperfect power control, and spreading factors with numerical results.
Contributing Partner: UNT College of Engineering
Permallink:digital.library.unt.edu/ark:/67531/metadc30937/