On the Impact of Mobility and Joint RRM Policies on a Cooperative WiMAX/HSDPA Network

Horrich, S.; Elayoubi, Salah Eddine; Jemaa, Sana Ben

doi:10.1109/wcnc.2008.360

Cited by 10 publications

(11 citation statements)

References 6 publications

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“…The authors in [10] are interested in the resource management of HSDPA and WiMAX networks taking into account mobility. They present three RRM (Resource Management) resource management schemes in a cooperative system containing HSDPA and WiMAX and compare the performances in these schemes in terms of probability of blocking new calls, lost calls in progress and time files transfer.…”

Section: Related Workmentioning

confidence: 99%

Resources Management of Mobile Network IEEE 802.16e WiMAX

Daleel¹,

Ali²

2017

ijacsa

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Abstract-The evolution of the world of telecommunications towards the mobile multimedia following the technological advances has demonstrated that to provide access to the network is no longer sufficient. The need for users is to access value-added multimedia services in their own home environment regardless of how they access the systems. Multimedia services require high transfer rates and have quality service requirements. They must coexist with services with real time constraints such as the voice service which does not tolerate variation of the delay between sending and receiving packets. The guarantee of these services by the operator becomes much more difficult in the technologies that take into account the mobility of the users. This paper studies the IEEE802.16e system according to the continuous modeling case. A model of the IEEE802.16e cell is proposed and allows the decomposition of the cell according to the principle of the AMC adaptive modulation and coding technique. The model is based on an admission control mechanism in the presence of two types of real-time and nonreal-time traffic. The model is based on a new CAC strategy with intra-cell mobility and gives the same QoS for the calls of this traffic by favoring the calls in progress on the new arrivals.

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Section: Related Workmentioning

confidence: 99%

Resources Management of Mobile Network IEEE 802.16e WiMAX

Daleel¹,

Ali²

2017

ijacsa

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“…The network operator often needs to manage different radio access technologies such as Global System for Mobile Communications (GSM), High Speed Downlink Packet Access (HSDPA), Long Term Evolution (LTE), and Wireless Local Area Network (WLAN). In this context, connecting to a network with lower load by means of advanced Radio Resource Management (RRM) algorithms, via both mobility and selection/re-selection mechanisms, can significantly impact network performance and perceived QoS (see for example [1]). The complexity of managing resources in highly heterogeneous networks has been one of the drivers for the new paradigm of partial shift of the resource management burden from the network to the user terminals which can learn how to take intelligent association decisions ( [2], [3]).…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, the robustness property allows to use the PGRL algorithm in an "always-on" learning mode. 1…”

mentioning

confidence: 99%

The association problem in wireless networks: a Policy Gradient Reinforcement Learning approach

Combes¹,

El²,

Sénécal³

et al. 2013

Preprint

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The purpose of this paper is to develop a selfoptimized association algorithm based on Policy Gradient Reinforcement Learning (PGRL), which is both scalable, stable and robust. The term robust means that performance degradation in the learning phase should be forbidden or limited to predefined thresholds. The algorithm is model-free (as opposed to Value Iteration) and robust (as opposed to Q-Learning). The association problem is modeled as a Markov Decision Process (MDP). The policy space is parameterized. The parameterized family of policies is then used as expert knowledge for the PGRL. The PGRL converges towards a local optimum and the average cost decreases monotonically during the learning process. The properties of the solution make it a good candidate for practical implementation. Furthermore, the robustness property allows to use the PGRL algorithm in an "always-on" learning mode. 1

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“…The association schemes actually implemented are fully centralized: the operator tries to maximize his utility (revenue) by assigning the users to the different systems [1]- [3]. However, distributed RRM mechanisms are gaining in importance: Users may be allowed to make autonomous decisions in a distributed way.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Decision Approach for the Association Problem in Heterogeneous Networks

Elayoubi

Altman

Haddad

et al. 2010

2010 Proceedings IEEE INFOCOM

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The area of networking games has had a growing impact on wireless networks. This reflects the recognition in the important scaling advantages that the service providers can benefit from by increasing the autonomy of mobiles in decision making. This may however result in inefficiencies that are inherent to equilibria in non-cooperative games. Due to the concern for efficiency, centralized protocols keep being considered and compared to decentralized ones. From the point of view of the network architecture, this implies the co-existence of network-centric and terminal centric radio resource management schemes. Instead of taking part within the debate among the supporters of each solution, we propose in this paper hybrid schemes where the wireless users are assisted in their decisions by the network that broadcasts aggregated load information. We derive the utilities related to the Quality of Service (QoS) perceived by the users and develop a Bayesian framework to obtain the equilibria. Numerical results illustrate the advantages of using our hybrid game framework in an association problem in a network composed of HSDPA and 3G LTE systems.

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On the Impact of Mobility and Joint RRM Policies on a Cooperative WiMAX/HSDPA Network

Cited by 10 publications

References 6 publications

Resources Management of Mobile Network IEEE 802.16e WiMAX

Resources Management of Mobile Network IEEE 802.16e WiMAX

The association problem in wireless networks: a Policy Gradient Reinforcement Learning approach

A Hybrid Decision Approach for the Association Problem in Heterogeneous Networks

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