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Journal ArticleDOI

Resource Allocation for Ultra-Dense Networks: A Survey, Some Research Issues and Challenges

TLDR
This paper provides a survey-style introduction to resource allocation approaches in UDNs and provides a taxonomy to classify the resource allocation methods in the existing literatures.
Abstract
Driven by the explosive data traffic and new quality of service requirement of mobile users, the communication industry has been experiencing a new evolution by means of network infrastructure densification. With the increase of the density as well as the variety of access points (APs), the network benefits from proximal transmissions and increased spatial reuse of system resources, thus introducing a new paradigm named ultra-dense networks (UDNs). Since the limited available resources are shared by ubiquitous APs in UDNs, the demand for efficient resource allocation schemes becomes even more compelling. However, the large scale of UDNs impedes the exploration of effective resource allocation approaches particularly on the computational complexity and significance overhead or feedback. In this paper, we provide a survey-style introduction to resource allocation approaches in UDNs. Specifically, we first present some common scenarios of UDNs with the relevant special issues. Second, we provide a taxonomy to classify the resource allocation methods in the existing literatures. Then, to alleviate the main difficulties of UDNs, some prevailing and feasible solutions are elaborated. Next, we present some emerging technologies thriving UDNs with special RA features discussed. Additionally, the challenges and open research directions are outlined in this field.

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Journal ArticleDOI

Whale Optimization Algorithm With Applications to Resource Allocation in Wireless Networks

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Dynamic Task Offloading and Resource Allocation for Mobile-Edge Computing in Dense Cloud RAN

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Journal ArticleDOI

Energy efficiency techniques in ultra-dense wireless heterogeneous networks: An overview and outlook

TL;DR: The peculiarities that make energy consumption one of the challenging problems in wireless communication networks are identified and EE metrics used to gauge energy consumption rate and performance trade-off are presented.
References
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Journal ArticleDOI

Spatially Sparse Precoding in Millimeter Wave MIMO Systems

TL;DR: This paper considers transmit precoding and receiver combining in mmWave systems with large antenna arrays and develops algorithms that accurately approximate optimal unconstrained precoders and combiners such that they can be implemented in low-cost RF hardware.
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Non-orthogonal multiple access for 5G: solutions, challenges, opportunities, and future research trends

TL;DR: The concept of software defined multiple access (SoDeMA) is proposed, which enables adaptive configuration of available multiple access schemes to support diverse services and applications in future 5G networks.
Journal ArticleDOI

Channel Estimation and Hybrid Precoding for Millimeter Wave Cellular Systems

TL;DR: An adaptive algorithm to estimate the mmWave channel parameters that exploits the poor scattering nature of the channel is developed and a new hybrid analog/digital precoding algorithm is proposed that overcomes the hardware constraints on the analog-only beamforming, and approaches the performance of digital solutions.
Journal ArticleDOI

Mean Field Games

TL;DR: In this paper, the authors present three examples of the mean-field approach to modelling in economics and finance (or other related subjects) and show that these nonlinear problems are essentially well-posed problems with unique solutions.
Journal ArticleDOI

Energy Harvesting Sensor Nodes: Survey and Implications

TL;DR: Various aspects of energy harvesting sensor systems- architecture, energy sources and storage technologies and examples of harvesting-based nodes and applications are surveyed and the implications of recharge opportunities on sensor node operation and design of sensor network solutions are discussed.
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