1,126 research outputs found
Distributed Caching in Wireless Cellular Networks Incorporating Parallel Processing
Distributed caching is a promising technique for reducing redundant data traffic and user content access delay in telecommunications systems. This article explores caching technologies with a focus on the processing of content requests in today’s hierarchical wireless cellular networks. The authors observed that, as the number of caches at different layers of the network increases, the disadvantage of the hierarchical architecture in terms of processing delay gradually emerges. They introduce a parallel-processing strategy in order to improve the efficiency of cache servers. Theoretical analysis and numerical simulations show the potential of the proposed scheme in terms of reducing both the content access delay and redundant data traffic in the core network. The authors also carry out cost assessments for the proposed scheme. Future research on related technologies is discussed at the end of this article
The edge cloud: A holistic view of communication, computation and caching
The evolution of communication networks shows a clear shift of focus from
just improving the communications aspects to enabling new important services,
from Industry 4.0 to automated driving, virtual/augmented reality, Internet of
Things (IoT), and so on. This trend is evident in the roadmap planned for the
deployment of the fifth generation (5G) communication networks. This ambitious
goal requires a paradigm shift towards a vision that looks at communication,
computation and caching (3C) resources as three components of a single holistic
system. The further step is to bring these 3C resources closer to the mobile
user, at the edge of the network, to enable very low latency and high
reliability services. The scope of this chapter is to show that signal
processing techniques can play a key role in this new vision. In particular, we
motivate the joint optimization of 3C resources. Then we show how graph-based
representations can play a key role in building effective learning methods and
devising innovative resource allocation techniques.Comment: to appear in the book "Cooperative and Graph Signal Pocessing:
Principles and Applications", P. Djuric and C. Richard Eds., Academic Press,
Elsevier, 201
Game Theoretic Approaches to Massive Data Processing in Wireless Networks
Wireless communication networks are becoming highly virtualized with
two-layer hierarchies, in which controllers at the upper layer with tasks to
achieve can ask a large number of agents at the lower layer to help realize
computation, storage, and transmission functions. Through offloading data
processing to the agents, the controllers can accomplish otherwise prohibitive
big data processing. Incentive mechanisms are needed for the agents to perform
the controllers' tasks in order to satisfy the corresponding objectives of
controllers and agents. In this article, a hierarchical game framework with
fast convergence and scalability is proposed to meet the demand for real-time
processing for such situations. Possible future research directions in this
emerging area are also discussed
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