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  Partner: UNT College of Engineering
 Collection: UNT Scholarly Works
Global versus Local Call Admission Control in CDMA Cellular Networks

Global versus Local Call Admission Control in CDMA Cellular Networks

Date: July 2004
Creator: Akl, Robert G. & Parvez, Asad
Description: This paper discusses global versus local call admission control. Abstract: We design and implement global and local CAC algorithms for CDMA networks, and compare their network throughput for various mobility scenarios. The global CAC algorithms is inherently optimized and uses global information in making every call admission decision; it yields the best possible performance but has an intensive computational complexity. The design of the local CAC algorithm uses global information but its implementation in each cell uses only local information; it only requires the number of calls currently active in that cell and thus is very simple to implement. We show that our optimized local CAC algorithm achieves almost the same performance as our global CAC algorithm for a given call arrival rate profile.
Contributing Partner: UNT College of Engineering
Channel Assignment and Load Distribution in a Power-Managed WLAN

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
Approximating User Distributions in WCDMA Networks Using 2-D Gaussian

Approximating User Distributions in WCDMA Networks Using 2-D Gaussian

Date: July 2005
Creator: Nguyen, Son & Akl, Robert G.
Description: This paper discusses approximating user distributions in WCDMA networks using 2-D Gaussian. Abstract: In this paper, we present an analytical model for approximating the user distributions in multi-cell third generation WCDMA networks using 2-dimensional Gaussian distributions by determining the means and the standard deviations of the distributions for every cell. This allows us to calculate the inter-cell interference and the reverse-link capacity of the network. The authors compare their model with simulation results and show that it is fast and accurate enough to be used efficiently in the planning process of large WCDMA networks.
Contributing Partner: UNT College of Engineering
Capacity Allocations in Multi-cell UMTS Networks for Different Spreading Factors with Perfect and Imperfect Power Control

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 paper discusses capacity allocation in multi-cell UMTS networks. Abstract: An analytical model for calculating capacity in multi-cell UMTS networks is presented. Capacity is maximized for different spreading factors and for perfect and imperfect power control. An analytical model is presented for approximating the user distributions in multi-cell third generation WCDMA networks using 2-dimensional Gaussian distributions by determining the means and the standard deviations of the distribution for every cell. This allows for the calculation of the inter-cell interference and the reverse-link capacity of the network. The capacity was determined for signal-to-interference threshold from 5 dB to 10 dB and spreading factor values of 256, 64, 16, and 4.
Contributing Partner: UNT College of Engineering
Classification of Attributes and Behavior in Risk Management Using Bayesian Networks

Classification of Attributes and Behavior in Risk Management Using Bayesian Networks

Date: March 2007
Creator: Dantu, Ram; Kolan, Prakash; Loper, Kall & Akl, Robert G.
Description: This paper discusses issues in security. Abstract: Security administration is an uphill task to implement in an enterprise network providing secured corporate services. With the slew of patches being released by network component vendors, system administrators require a barrage of tools for analyzing the risk due to vulnerabilities in those components. In addition, criticalities in patching some end hosts raises serious security issues about the network to which the end hosts are connected. In this context, it would be imperative to know the risk level of all critical resources keeping in view the everyday emerging new vulnerabilities. The authors hypothesize that sequence of network actions by attackers depends on their social and attack profile (behavioral resources such as skill level, time, and attitude). To estimate the types of attack behavior, the athors surveyed individuals for their ability and attack intent. Using the individuals' responses, the authors determined their behavioral resources and classified them as having opportunist, hacker, or explorer behavior. The profile behavioral resources can be used for determining risk by an attacker having that profile. Thus, suitable vulnerability analysis and risk management strategies can be formulated to efficiently curtail the risk from different types of attackers.
Contributing Partner: UNT College of Engineering
Performance Enhancement by Eliminating Redundant Function Execution

Performance Enhancement by Eliminating Redundant Function Execution

Date: April 2006
Creator: Chen, Peng; Kavi, Krishna M. & 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
Real-Time Systems: An Introduction and the State-of-the-Art

Real-Time Systems: An Introduction and the State-of-the-Art

Date: March 16, 2009
Creator: Kavi, Krishna M.; Akl, Robert G. & Hurson, Ali
Description: This encyclopedia article gives an overview of the broad area of real-time systems. This task is daunting because real-time systems are everywhere, and yet no generally accepted definition differentiates real-time systems from non-real-time systems. The authors make an attempt at providing a general overview of the different classes of real-time systems, scheduling of tasks (or threads) in such systems, design tools and environments for real-time systems, real-time operating systems, and embedded systems. The authors conclude their discussion with research challenges that still remain.
Contributing Partner: UNT College of Engineering
User-Based Channel Assignment Algorithm in a Load-Balanced IEEE 802.11 WLAN

User-Based Channel Assignment Algorithm in a Load-Balanced IEEE 802.11 WLAN

Date: 2009
Creator: Haidar, Mohamad; Al-Rizzo, Hussain Mudhaffar Younis, 1957-; Chan, Yupo & Akl, Robert G.
Description: This article discusses a user-based channel assignment algorithm in a load-balanced IEEE 802.11 WLAN. A new load balancing algorithm is presented based on power management of Access Points (APs) to reduce congestion at hot spots in Wireless Local Area Networks (WLANs) and to assign channels to APs. The algorithm first finds the Most Congested Access Point (MCAP), then decreases its transmitted power in discrete steps, and the process continues until the users' assignment which leads to a high balance index is reached. A new mathematical programming formulation is then applied to assign channels to the APs such that the Signal-to-Interference Ratio (SIR) at the users' level is maximized. Results show that the algorithm is capable of reducing the overall congestion at hot spots in a WLAN and increases the SIR significantly for cases involving relatively large WLANs. In the process, network throughput is increased.
Contributing Partner: UNT College of Engineering
Multicell CDMA Network Design

Multicell CDMA Network Design

Date: May 2001
Creator: Akl, Robert G.; Hegde, Manju V.; Naraghi-Pour, Mort & Min, Paul S.
Description: This article discusses multicell CDMA network design. Abstract: Traditional design rules for cellular networks are not directly applicable to code division multiple access (CDMA) networks where intercell interference is not mitigated by cell placement and careful frequency planning. For transmission quality requirements, a minimum signal-to-interface ratio (SIR) must be achieved. The base-station location, its pilot-signal power (which determines the size of the cell), and the transmission power of the mobiles all affect the received SIR. In addition, because of the need for power control in CDMA networks, large cells can cause a lot of interference to adjacent small cells, posing another constraint to design. In order to maximize the network capacity associated with a design, we develop a methodology to calculate the sensitivity of capacity to base-station location, pilot-signal power, and transmission power of each mobile. To alleviate the problem caused by difference cell sizes, we introduce the power compensation factor, by which the nominal power of the mobiles in every cell is adjusted. We then use the calculated sensitivities in an iterative algorithm to determine the optimal locations of the base stations, pilot-signal powers, and power compensation factors in order to maximize capacity. We show examples of how networks ...
Contributing Partner: UNT College of Engineering
PageRank on Semantic Networks, with Application to Word Sense Disambiguation

PageRank on Semantic Networks, with Application to Word Sense Disambiguation

Date: August 2004
Creator: Mihalcea, Rada, 1974-; Tarau, Paul & Figa, Elizabeth
Description: Abstract: This paper presents a new open text word sense disambiguation method that combines the use of logical interferences with PageRank-style algorithms applied on graphs extracted from natural language documents. We evaluate the accuracy of the proposed algorithm on several sense-annotated texts, and show that it consistently out-performs the accuracy of other previously proposed knowledge-based word sense disambiguation methods. We also explore and evaluate methods that combine several open-text word sense disambiguation algorithms.
Contributing Partner: UNT College of Engineering