@conference {Amine2020,
	title = {New Network Slicing Scheme for UE Association Solution in 5G Ultra Dense HetNets},
	booktitle = {IEEE International Conference on Communications},
	volume = {2020-June},
	year = {2020},
	note = {cited By 5},
	abstract = {Network slicing (NS) will have an essential role to enhance the isolation and the flexibility of the future generation of cellular networks (5G) with heterogeneous capabilities, notably in ultra-dense (UD) urban zones. Thus, it may be the principal component necessary to respond to 5G UD heterogeneous networks (UD-HetNets) technical requirements. The aim of this paper is to propose a new NS architecture to resolve user equipment (UE)-association problem in 5G UD-HetNets. Accordingly, we formulated the problem as a one-to-many matching game based on matching theory, while exploiting the isolation character of slicing to eliminate interferences between pico-cells and those among macro-cell and pico-cells. Next, we proposed the UE-slice association algorithm (U-S.AA) to find the stable matching among user equipments (UEs) and different network slices. Numerical simulation results validate our theoretical model, and prove the efficient of the proposed user-slice association solution to enhance the global network performance, respecting the UEs quality of service (QoS), as well as improving the energy efficiency (EE) of UEs. {\textcopyright} 2020 IEEE.},
	keywords = {5G mobile communication systems, Association algorithms, Cellular network, energy efficiency, Future generations, Heterogeneous networks, Matching theory, Network performance, Principal Components, Stable matching, Technical requirement, Theoretical modeling},
	doi = {10.1109/ICC40277.2020.9148844},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089429385\&doi=10.1109\%2fICC40277.2020.9148844\&partnerID=40\&md5=1c1af15932312ae46b6294cfb76fd07d},
	author = {Amine, M. and Kobbane, A. and Ben-Othman, J.}
}
@article {Amine2020,
	title = {Two-sided matching framework for optimal user association in 5G multi-RAT UDNs},
	journal = {International Journal of Communication Systems},
	volume = {33},
	number = {8},
	year = {2020},
	note = {cited By 2},
	abstract = {Recently, academic and industrial research communities are paying more explicit attention to the 5G multiple radio access technology ultra-dense networks (5G multi-RAT UDNs) for boosting network capacity, especially in UD urban zones. To this aim, in this paper, we intend to tackle the user association problem in 5G multi-RAT UDNs. By considering the decoupled uplink/downlink access (DUDA), we divide our user association problem into two distinct subproblems representing, respectively, the uplink and the downlink channels. Next, we formulated each one as a nonlinear optimization problem with binary variables. Then, to solve them, we were restricted by the hard complexity, as well as the hard feasibility of centralized user association schemes. Thus, to resolve our user association problem in a reasonable time and distributed manner, we formulated each subproblem as a many-to-one matching game based on matching theory. Next, we provide two fully distributed association algorithms to compute the uplink and downlink stable matching among user equipments (UEs) and base stations (BSs). Simulation results corroborate our theoretical model and show the effectiveness and improvement of our achieved results in terms of the overall network performance, quality of service (QoS), and energy efficiency (EE) of UEs. {\textcopyright} 2020 John Wiley \& Sons, Ltd.},
	keywords = {5G mobile communication systems, 5G multi-RAT UDNs, Association algorithms, decoupled uplink/downlink access (DUDA), energy efficiency, Game theory, Industrial research, Matching game, Matching theory, Network performance, Nonlinear programming, Optimization, Quality of service, Rats, Stable matching},
	doi = {10.1002/dac.4346},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85078931379\&doi=10.1002\%2fdac.4346\&partnerID=40\&md5=159a3a40021d6b340c2873e4db73e2ac},
	author = {Amine, M. and Kobbane, A. and Ben-Othman, J. and Walid, A.}
}
@conference {Amine2018,
	title = {New user association scheme based on multi-objective optimization for 5G ultra-dense multi-RAT HetNets},
	booktitle = {IEEE International Conference on Communications},
	volume = {2018-May},
	year = {2018},
	doi = {10.1109/ICC.2018.8422154},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85051424239\&doi=10.1109\%2fICC.2018.8422154\&partnerID=40\&md5=3572d774ac502ed9eb6c557554de3420},
	author = {Amine, M. and Walid, A. and Kobbane, A. and Ben-Othman, J.}
}
@conference {Amine20171245,
	title = {A many-to-many matching game in ultra-dense LTE HetNets},
	booktitle = {2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017},
	year = {2017},
	note = {cited By 0},
	pages = {1245-1250},
	abstract = {In this work, we focus our study to improving the energy efficiency of mobile cellular users in ultra-dense LTE HetNets. The hyper-dense co-channel deployment of indoor LTE small cell networks (SCNs) within LTE macro cell networks (MCNs) will aggravate the effect of cross-tier interferences caused by the uplink transmissions of macro-indoor users located inside the overlapping zones of small base station (SBS) coverage areas. Hence, degrading the uplink performance at the level of SBSs adopting closed access policy. In order to eliminate the severe cross-tier interferences, each SBS attempts to open the access for macro-indoor users that accept only the SBS with Max-SINR offer. This will lead to network congestion problems in several SCNs. Wherefore, we formulate our problem as a many-to-many matching game. Then, we introduce an algorithm that computes the optimal many-to-many stable matching which consist of assigning each macro-indoor user with multi-homing capabilities to the most suitable set of SBSs and vice versa based on their preference profiles. With regard to the conventional Max-SINR association scheme, our solution can effectively improve the energy efficiency of cellular users. Moreover, it can ensure load balancing in ultra-dense LTE HetNets. {\textcopyright} 2017 IEEE.},
	doi = {10.1109/IWCMC.2017.7986463},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85027886532\&doi=10.1109\%2fIWCMC.2017.7986463\&partnerID=40\&md5=a4a95449b5ea20b54454dcf7b7bd1e59},
	author = {Amine, M. and Walid, A. and Kobbane, A. and Cherkaoui, S.}
}
@conference {Amine2016133,
	title = {Matching game for green uplink in hyper dense LTE HeTNets},
	booktitle = {Proceedings - 2016 International Conference on Wireless Networks and Mobile Communications, WINCOM 2016: Green Communications and Networking},
	year = {2016},
	note = {cited By 0},
	pages = {133-139},
	abstract = {In this paper, we aim to improve the energy efficiency of cellular users located in hyper-dense co-channel deployments of LTE small cell Networks (SCNs), randomly distributed within LTE macro cell networks (MCNs). Avoiding the severe cross-Tier interferences at the small base stations (SBSs) levels caused by the uplink transmissions between the macro indoor users (which are inside the SBS coverage area) and the macro base station (MBS), ensuring load balancing, and improving energy efficiency are critical technical challenges in hyper-dense co-channel LTE SCNs deployments. As a solution, we formulate our problem as a matching game, then we propose the deferred acceptance algorithm to compute the optimal stable matching consisting of assigning each macro indoor user to the most suitable SBS and vice versa. Simulation results validate our solution, and show how it can effectively improve the energy efficiency of cellular users in hyper-dense LTE HetNets compared to the default Max-SINR association scheme. {\textcopyright} 2016 IEEE.},
	doi = {10.1109/WINCOM.2016.7777204},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85010465149\&doi=10.1109\%2fWINCOM.2016.7777204\&partnerID=40\&md5=cfdd0315adeb3a468a5382cae7b1ed26},
	author = {Amine, M. and Walid, A. and Oualhaj, O.A. and Kobbane, A.}
}
