All Outputs (56)

Diversifying search in bee algorithms for numerical optimisation (2018)
Presentation / Conference Contribution

© Springer Nature Switzerland AG 2018. Swarm intelligence offers useful instruments for developing collective behaviours to solve complex, ill-structured and large-scale problems. Efficiency in collective behaviours depends on how to harmonise the in... Read More about Diversifying search in bee algorithms for numerical optimisation.

Building collaboration in multi-agent systems using reinforcement learning (2018)
Presentation / Conference Contribution

© Springer Nature Switzerland AG 2018. This paper presents a proof-of concept study for demonstrating the viability of building collaboration among multiple agents through standard Q learning algorithm embedded in particle swarm optimisation. Collabo... Read More about Building collaboration in multi-agent systems using reinforcement learning.

A parametric study for congestion control in queuing networks (2017)
Presentation / Conference Contribution

Congestion avoidance mechanisms are used to prevent the saturation of the bottleneck under mean-field domain where large numbers of TCP connections interact with one another. It is clear that selections of parameters play an important role on the per... Read More about A parametric study for congestion control in queuing networks.

Cognitive access point to handle delay sensitive traffic in WLANs (2015)
Presentation / Conference Contribution

© 2015 IEEE. Over the last few years, the widespread use of wireless local area networks (WLANs) continues to gain more and more impetus. Due to the increase in variety of multimedia applications such as voice, video and gaming traffic, it is paramou... Read More about Cognitive access point to handle delay sensitive traffic in WLANs.

Stochastic model of TCP and UDP traffic in IEEE 802.11b/g (2014)
Presentation / Conference Contribution

© 2014 IEEE. IEEE 802.11 networks have been widely explored since last decade and IEEE802.11g was proposed to increase the data rate of wireless networks up to 54Mbps which ensure backward capability with IEEE802.11b. The main goal of increasing the... Read More about Stochastic model of TCP and UDP traffic in IEEE 802.11b/g.

A memory-integrated artificial bee algorithm for 1-D bin packing problems (2014)
Presentation / Conference Contribution

Swarm intelligence algorithms gain more attention with ever growing computing capabilities since they can provide diverse and useful solutions for ill-structured and complex problems. Artificial Bee Colony (ABC) algorithm is a recently developed prom... Read More about A memory-integrated artificial bee algorithm for 1-D bin packing problems.

Adaptive proportional fair parameterization based LTE scheduling using continuous actor-critic reinforcement learning (2014)
Presentation / Conference Contribution

© 2014 IEEE. Maintaining a desired trade-off performance between system throughput maximization and user fairness satisfaction constitutes a problem that is still far from being solved. In LTE systems, different tradeoff levels can be obtained by usi... Read More about Adaptive proportional fair parameterization based LTE scheduling using continuous actor-critic reinforcement learning.

Scheduling policies based on dynamic throughput and fairness tradeoff control in LTE-A networks (2014)
Presentation / Conference Contribution

© 2014 IEEE. In LTE-A cellular networks there is a fundamental trade-off between the cell throughput and fairness levels for preselected users which are sharing the same amount of resources at one transmission time interval (TTI). The static paramete... Read More about Scheduling policies based on dynamic throughput and fairness tradeoff control in LTE-A networks.

ITU-R and WINNER II path loss modeling of femtocells (2013)
Presentation / Conference Contribution

As cellular network users continue to grow; there is a need for in-creased user capacity, higher throughput and improved system performance. An important issue affecting cellular networks is to make services available to re-gions of bad or no recepti... Read More about ITU-R and WINNER II path loss modeling of femtocells.

Refining scheduling policies with genetic algorithms (2013)
Presentation / Conference Contribution

Genetic Algorithms (GAs) are popular approaches in solving various complex real-world problems. However, it is required that a careful attention is to be paid to the contextual knowledge as well as the implementation of genetic material and operators... Read More about Refining scheduling policies with genetic algorithms.

A novel learning-based spectrum sensing technique for cognitive radio networks (2013)
Presentation / Conference Contribution

Spectrum sensing is one of the most challenging issues in Cognitive Radio (CR) networks. It should be performed efficiently to reduce number of false alarms and missed detections. This paper presents a novel approach, which employs collective intelli... Read More about A novel learning-based spectrum sensing technique for cognitive radio networks.

A novel dynamic Q-learning-based scheduler technique for LTE-advanced technologies using neural networks (2012)
Presentation / Conference Contribution

The tradeoff concept between system capacity and user fairness attracts a big interest in LTE-Advanced resource allocation strategies. By using static threshold values for throughput or fairness, regardless the network conditions, makes the scheduler... Read More about A novel dynamic Q-learning-based scheduler technique for LTE-advanced technologies using neural networks.

Collective intelligence for monitoring innovation and change in manufacturing industry (2012)
Presentation / Conference Contribution

© 2012 Newswood Limited. All rights reserved. Change monitoring and management become an unavoidable necessity for companies in order to stay competitive in global market.This requires thorough handling models for change management to attain a system... Read More about Collective intelligence for monitoring innovation and change in manufacturing industry.

A genetic algorithm approach for multiuser scheduling on the LTE downlink (2012)
Presentation / Conference Contribution

The problem of multi-user radio resource scheduling on the downlink of a Long Term Evolution (LTE) cellular communication system is addressed in this paper. The optimization model used imposed that the radio resources for multiple users are jointly a... Read More about A genetic algorithm approach for multiuser scheduling on the LTE downlink.

Reinforcement learning based radio resource scheduling in LTE-advanced (2011)
Presentation / Conference Contribution

In this paper, a novel radio resource scheduling policy for Long Term Evolution Advanced (LTE-A) radio access technology in downlink acceptance is proposed. The scheduling process works with dispatching rules which are various with different behavior... Read More about Reinforcement learning based radio resource scheduling in LTE-advanced.

Multiuser scheduling on the LTE downlink with simulated annealing (2011)
Presentation / Conference Contribution

In this paper, the issue of multi-user radio resource scheduling on the downlink of a Long Term Evolution (LTE) cellular communication system is addressed. An optimization model has been proposed in [1], where radio resources for multiple users are j... Read More about Multiuser scheduling on the LTE downlink with simulated annealing.

Scanning environments with swarms of learning birds: A computational intelligence approach for managing disasters (2011)
Presentation / Conference Contribution

Much work is underway within the broad next generation technologies community on issues associated with the development of services to foster collaboration via the integration of distributed and heterogeneous data systems and technologies. In previou... Read More about Scanning environments with swarms of learning birds: A computational intelligence approach for managing disasters.

Collaboration of heterogenous metaheuristic agents (2010)
Presentation / Conference Contribution

Collaboration of metaheuristic agents remains as a problem, which attracts challenges to overcome in order to manage a better collaboration in problem solving methodologies. Swarm intelligences techniques have been tried as collaborating methods with... Read More about Collaboration of heterogenous metaheuristic agents.

Swarms of metaheuristic agents: A model for collective intelligence (2010)
Presentation / Conference Contribution

Swarm intelligence algorithms are created to build collective intelligence based on inherent properties of populations. However, this sort of problem solving approaches use collective evolution of solutions, which make up the population relied on. Th... Read More about Swarms of metaheuristic agents: A model for collective intelligence.

Multiuser scheduling in HSDPA with particle swarm optimization (2009)
Presentation / Conference Contribution

In this paper, a mathematical model of multiuser scheduling problem in HSDPA is developed to use in optimization process. A more realistic imperfect channel state information (CSI) feedback, which is required for this problem, in the form of a finite... Read More about Multiuser scheduling in HSDPA with particle swarm optimization.