@article {Bouanani2021793, title = {Performance Analysis of Intelligent Reflecting Surface Aided Wireless Networks with Wireless Power Transfer}, journal = {IEEE Communications Letters}, volume = {25}, number = {3}, year = {2021}, note = {cited By 9}, pages = {793-797}, abstract = {The low efficiency of wireless power transfer (WPT) poses a key challenge for energy-constrained wireless networks. To address this issue, in this letter, the integration of intelligent reflecting surface (IRS) into a WPT network is investigated. To this end, an accurate approximation for the probability density function of the end-to-end cascaded fading channel is presented. By leveraging the derived result, accurate closed-form expressions of the outage probability (OP) and average symbol error probability (ASER) are derived for the proposed IRS-aided WPT system. To gain further insight into the system performance, asymptotic closed-form expressions for the ASER and OP are further derived and interesting observations are reported. Particularly, our asymptotic analysis reveals that the achievable diversity in the underlying scenario is independent of the reflective elements of the IRS. The analytical derivations, corroborated by simulation results, demonstrate that IRSs can be promising candidates for the realization of a highly efficient power transfer enabled wireless network. {\textcopyright} 1997-2012 IEEE.}, keywords = {Asymptotic analysis, Cascaded fading channels, Closed-form expression, Energy transfer, Energy-constrained, Fading channels, Inductive power transmission, Outage probability, Performance analysis, Probability, Probability density function, Reflecting surface, Symbol error probabilities (SEP), wireless networks, Wireless power transfer (WPT)}, doi = {10.1109/LCOMM.2020.3036534}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102847338\&doi=10.1109\%2fLCOMM.2020.3036534\&partnerID=40\&md5=8e9607afdd0ae2ed054c25ab61820b03}, author = {Bouanani, F.E. and Muhaidat, S. and Sofotasios, P.C. and Dobre, O.A. and Badarneh, O.S.} } @article {Assila2020, title = {Improving caching resource management: A pricing economic approach using Cournot, Bertrand, and Stackelberg game models}, journal = {International Journal of Communication Systems}, year = {2020}, note = {cited By 3}, abstract = {Over-The-Top broadcasts a huge number of medias that mobile network operators have to manage efficiently before to deliver it to their subscribers. We propose an economic pricing approach to address caching resource management issues in the 5G wireless networks and to overcome limitations in terms of throughput, latency, and reliability. Moreover, we consider this approach based on an oligopolistic multi-market deducted from Cournot, Stackelberg, and Bertrand models. For simulation purpose, we consider the routing protocol (Ad-hoc On-Demand Distance Vector [AODV]) commonly used for the wireless network. We use the NS-2 package, and we analyze results in terms of End-to-End delay representing latency, throughput, packet delivery ratio, and normalized network load. {\textcopyright} 2020 John Wiley \& Sons, Ltd.}, keywords = {5G mobile communication systems, Ad hoc on demand distance vector, caching, Costs, Cournot, Economics, Mobile network operators, Mobile telecommunication systems, Natural resources management, Packet delivery ratio, Resource allocation, Resource Management, Stackelberg, Stackelberg Games, wireless networks}, doi = {10.1002/dac.4358}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85079387484\&doi=10.1002\%2fdac.4358\&partnerID=40\&md5=70ae8f696b34a21860572f8c3437dd46}, author = {Assila, B. and Kobbane, A. and Ben-Othman, J.} } @article {Kamri2020298, title = {Machine Learning Approach for Smart Self-diagnosing Autonomic Computing Systems}, journal = {Advances in Intelligent Systems and Computing}, volume = {1105 AISC}, year = {2020}, note = {cited By 0}, pages = {298-307}, abstract = {While modern systems and networks are continuously growing in size, complexity and diversity, the monitoring and diagnosing of such systems is becoming a real challenge. Technically and economically, more automation of the classical diagnosing tasks is needed. This has triggered a considerable research initiative, grouped under the terms self-management and Autonomic Computing. In this paper we propose a new model for smart self-diagnosing systems based on Autonomic Computing principles and Machine Learning techniques. {\textcopyright} 2020, Springer Nature Switzerland AG.}, keywords = {Autonomic Computing, Autonomic computing system, Diagnosing system, Intelligent systems, Learning systems, Machine learning, Machine learning approaches, Machine learning techniques, planning, Research initiatives, Self management, Self-diagnosing, Sustainable development, wireless networks}, doi = {10.1007/978-3-030-36674-2_31}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85080896883\&doi=10.1007\%2f978-3-030-36674-2_31\&partnerID=40\&md5=3dce8bc657338047166fb3ded16c10c8}, author = {Kamri, H. and Bounabat, B.} } @article {5099547320100301, title = {The Uplink Capacity Evaluation of Wireless Networks: Spectral Analysis Approach.}, journal = {Journal of Computing \& Information Technology}, volume = {18}, number = {1}, year = {2010}, pages = {1 - 17}, abstract = {In this paper we study the capacity of wireless cellular network, in particular the uplink of WCDMA system by using the two dimensional continuous-time Markov chain (CTMC) technique. Considering two types of calls: real-time (RT) calls characterized by a quasi fixed transmission rate, and best-effort (BE) calls which do not require strict demand but need some reliability conditions, we develop an approach based on the spectral analysis for evaluating the cell capacity. We explicitly obtain the simultaneous distribution of the number of RT connections and the number of BE connections in the steady-state. This analysis allows us to simplify the computation of the performance measures including expected delay and throughput of BE traffic. These performances are obtained explicitly in both cases (finite and infinite) of BE calls as function of system parameters like arrival rate of BE and RT calls, service rate of BE and RT calls. These results allow the operator to evaluate the cell capa}, keywords = {call admission control, Data transmission systems, Markov processes, Matrix-Geometric method, Mobile communication systems, spectral analysis approach, Spectrum analysis, Telecommunication systems, Wireless communication systems, wireless networks}, issn = {13301136}, url = {http://search.ebscohost.com/login.aspx?direct=true\&db=iih\&AN=50995473\&site=ehost-live}, author = {Kobbane, Abdellatif and El-Azouzi, Rachid and Ibrahimi, Khalil and Samanta, Sujit Kumar and Bouyakhf, El-Houssine} }