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Joint resource allocation and power control for D2D communication with deep reinforcement learning in MCC
(
Elsevier B.V.
, 2021 , Article)
Mission-critical communication (MCC) is one of the main goals in 5G, which can leverage multiple device-to-device (D2D) connections to enhance reliability for mission-critical communication. In MCC, D2D users can reuses ...
Exploiting Task Elasticity and Price Heterogeneity for Maximizing Cloud Computing Profits
(
IEEE Computer Society
, 2018 , Article)
This paper exploits cloud task elasticity and price heterogeneity to propose an online resource management framework that maximizes cloud profits while minimizing energy expenses. This is done by reducing the duration ...
Resource allocation in information-centric wireless networking with D2D-enabled MEC: A deep reinforcement learning approach
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
Recently, information-centric wireless networks (ICWNs) have become a promising Internet architecture of the next generation, which allows network nodes to have computing and caching capabilities and adapt to the growing ...
A promising non-orthogonal multiple access based networking architecture: Motivation, conception, and evolution
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
Since it can offer higher spectral efficiency by granting the served data to share the same spectrum resource synchronously, NOMA is considered as a bright multiple access technique for future wireless networks. Accommodating ...
Large-scale cognitive cellular systems: Resource management overview
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Article Review)
This article presents recent advancements in resource management for large-scale DSA systems. Although the problem of spectrum and power allocation is well addressed in the literature, the need for more efficient algorithms ...
Toward energy-efficient cloud computing: Prediction, consolidation, and overcommitment
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Article)
Energy consumption has become a significant concern for cloud service providers due to financial as well as environmental factors. As a result, cloud service providers are seeking innovative ways that allow them to reduce ...
Malicious-proof and fair credit-based resource allocation techniques for DSA systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Article)
We propose a credit-based resource allocation technique for dynamic spectrum access that is robust against malicious and selfish behaviors and ensures good overall system fairness performance while also allowing spectrum ...
Online assignment and placement of cloud task requests with heterogeneous requirements
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference)
Managing cloud resources in a way that reduces the consumed energy while also meeting clients demands is a challenging task. In this paper, we propose an energy-aware resource allocation framework that: i) places the ...
Distributed resource allocation in cloud-based wireless multimedia social networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2014 , Article)
With the rapid penetration of mobile devices, more users prefer to watch multimedia live-streaming via their mobile terminals. Quality of service provision is normally a critical challenge in such multimedia sharing ...
Resource allocation with incomplete information for QoE-driven multimedia communications
(2013 , Article)
Most existing Quality of Experience (QoE)-driven multimedia resource allocation methods assume that the QoE model of each user is known to the controller before the start of the multimedia playout. However, this assumption ...