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Related papers: Mean-Field Game-Theoretic Edge Caching

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For ultra-dense networks with wireless backhaul, caching strategy at small base stations (SBSs), usually with limited storage, is critical to meet massive high data rate requests. Since the content popularity profile varies with time in an…

Information Theory · Computer Science 2020-03-10 Shen Gao , Peihao Dong , Zhiwen Pan , Geoffrey Ye Li

Heterogeneous cellular networks (HCN) with embedded small cells are considered, where multiple mobile users wish to download network content of different popularity. By caching data into the small-cell base stations (SBS), we will design…

Signal Processing · Electrical Eng. & Systems 2020-03-30 Jun Li , Youjia Chen , Zihuai Lin , Wen Chen , Branka Vucetic , Lajos Hanzo

Caching at base stations (BSs) is a promising way to offload traffic and eliminate backhaul bottleneck in heterogeneous networks (HetNets). In this paper, we investigate the optimal content placement maximizing the successful offloading…

Information Theory · Computer Science 2016-04-13 Dong Liu , Chenyang Yang

We investigate the fundamental information theoretic limits of cache-aided wireless networks, in which edge nodes (or transmitters) are endowed with caches that can store popular content, such as multimedia files. This architecture aims to…

Information Theory · Computer Science 2015-12-25 Avik Sengupta , Ravi Tandon , Osvaldo Simeone

Data sponsoring is a widely-used incentive method in today's cellular networks, where video content providers (CPs) cover part or all of the cellular data cost for mobile users so as to attract more video users and increase data traffic. In…

Networking and Internet Architecture · Computer Science 2017-09-04 Haitian Pang , Lin Gao , Qinghua Ding , Lifeng Sun

An emerging trend of next generation communication systems is to provide network edges with additional capabilities such as additional storage resources in the form of caches to reduce file delivery latency. To investigate this aspect, we…

Information Theory · Computer Science 2017-11-08 Jaber Kakar , Alaa Alameer , Anas Chaaban , Aydin Sezgin , Arogyaswami Paulraj

The extreme traffic load that future wireless networks are expected to accommodate requires a re-thinking of the system design. Initial estimations indicate that, different from the evolutionary path of previous cellular generations that…

Information Theory · Computer Science 2015-10-21 Antonis G. Gotsis , Stelios Stefanatos , Angeliki Alexiou

Ultra-dense networks (UDN) constitute one of the most promising techniques of supporting the 5G mobile system. By deploying more small cells in a fixed area, the average distance between users and access points can be significantly reduced,…

Signal Processing · Electrical Eng. & Systems 2017-10-03 Cunhua Pan , Maged Elkashlan , Jiangzhou Wang , Jinhong Yuan , Lajos Hanzo

Caching multimedia contents at the network edge is a key solution to decongest the amount of traffic in the backhaul link. In this paper, we extend and analyze the coded caching technique [1] in an unexplored scenario, i.e. at the edge of…

Information Theory · Computer Science 2022-05-16 Estefania Recayte

In the traditional cellular-based mobile edge computing (MEC), users at the edge of the cell are prone to suffer severe inter-cell interference and signal attenuation, leading to low throughput even transmission interruptions. Such edge…

Systems and Control · Electrical Eng. & Systems 2023-12-05 Langtian Qin , Hancheng Lu , Yuang Chen , Baolin Chong , Feng Wu

The emergence of the graphon theory of large networks and their infinite limits has enabled the formulation of a theory of the centralized control of dynamical systems distributed on asymptotically infinite networks (Gao and Caines, IEEE…

Optimization and Control · Mathematics 2021-12-30 Peter E. Caines , Minyi Huang

This paper studies a large population dynamic game involving nonlinear stochastic dynamical systems with agents of the following mixed types: (i) a major agent, and (ii) a population of $N$ minor agents where $N$ is very large. The major…

Optimization and Control · Mathematics 2013-06-07 Mojtaba Nourian , Peter E. Caines

Device-to-device (D2D) communication is a promising approach to optimize the utilization of air interface resources in 5G networks, since it allows decentralized opportunistic short-range communication. For D2D to be useful, mobile nodes…

Information Theory · Computer Science 2016-11-15 Derya Malak , Mazin Al-Shalash , Jeffrey G. Andrews

We propose a new approximation framework that unifies and generalizes a number of existing mean-field approximation methods for the SIS epidemic model on complex networks. We derive the framework, which we call the Universal Mean-Field…

Physics and Society · Physics 2017-12-06 Karel Devriendt , Piet Van Mieghem

In this paper, the scheduling of downlink file transmission in one cell with the assistance of cache nodes with finite cache space is studied. Specifically, requesting users arrive randomly and the base station (BS) reactively multicasts…

Information Theory · Computer Science 2020-01-15 Bojie Lv , Rui Wang , Ying Cui , Yi Gong , Haisheng Tan

Content distribution networks (CDNs) which serve to deliver web objects (e.g., documents, applications, music and video, etc.) have seen tremendous growth since its emergence. To minimize the retrieving delay experienced by a user with a…

Networking and Internet Architecture · Computer Science 2012-10-02 Jing Zhang

Small cell base stations (SBSs) endowed with cloud-like computing capabilities are considered as a key enabler of edge computing (EC), which provides ultra-low latency and location-awareness for a variety of emerging mobile applications and…

Computer Science and Game Theory · Computer Science 2017-05-15 Lixing Chen , Jie Xu

Content caching at small-cell base stations (SBSs) is a promising method to mitigate the excessive backhaul load and delay, particularly for on-demand video streaming applications. A cache-enabled heterogeneous cellular network architecture…

Information Theory · Computer Science 2019-07-10 Emre Ozfatura , Deniz Gunduz

The mean field algorithm is a widely used approximate inference algorithm for graphical models whose exact inference is intractable. In each iteration of mean field, the approximate marginals for each variable are updated by getting…

Machine Learning · Computer Science 2014-10-23 Yujia Li , Richard Zemel

This paper investigates the linear-quadratic-Gaussian (LQG) mean-field game (MFG) for a class of stochastic delay systems. We consider a large population system in which the dynamics of each player satisfies some forward stochastic…

Optimization and Control · Mathematics 2015-10-05 Na Li , Shujun Wang