Publisher:Institute of Electrical and Electronics Engineers Inc.
Series Info:ICENCO 2018 - 14th International Computer Engineering Conference: Secure Smart Societies
Type:Conference Paper
Keywords:Device-to-Device network
,
Group mobility
,
Particle Swarm Optimization
,
Proactive caching
,
User preference
,
Network performance
,
Attractive solutions
,
Group mobility
,
Optimization problems
,
Particle swarm optimization algorithm
,
Proactive caching
,
Random mobilities
,
User preference
,
Wireless cellular networks
,
Particle swarm optimization (PSO)
Abstract:
Content caching in Device-to-Device (D2D) wireless cellular network can be considered an attractive solution to decrease network load during peak time hence improve network performance. In such network, predicting users' movement pattern allows proactive caching to alleviate its congestion leading to load decrease. Optimizing caching process is one important issue to enhance network performance and thus increase offloading probability. In this work, a caching policy strategy is introduced where the network jointly recognizes group mobility and user preferences to solve the caching optimization problem. Particle Swarm Optimization (PSO) algorithm is used to minimize the overall network load by optimizing the amount of data cached in users devices. Simulations are carried out to evaluate performance of presented optimal caching policy. Numerical results in terms of network gain show that the proposed caching scheme optimized by PSO outperforms both baseline scenario and random mobility-based schemes. � 2018 IEEE.
Ibrahim, Mervat Shafik ; Elkady, Omar A; Amer, Mai A; Noshi, Shereen H(Springer New York, 2023-12)
Purpose Skin fungal infections are widely spreading worldwide and are considered a main cause of skin, mucous membranes,
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The purpose of this study was to extend Quality by Design (QbD) principles to develop insulin-loaded liposomes, to identify and control critical sources of variability in the process, and to understand the impact of ...
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This paper is devoted to investigate, from the numerical point of view, fractional-order Gegenbauer functions to solve fractional variational problems and fractional optimal control problems. We first introduce an orthonormal ...