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Journal ArticleDOI

Improving Delay and Energy Efficiency of Vehicular Networks Using Mobile Femto Access Points

TLDR
A maiden approach to analyze the performance of a vehicular network with cellular infrastructure as a backbone using mobile Femto Access Points (FAPs) as relays in place of RSUs and shows improvement in terms of delay, throughput, and energy efficiency.
Abstract
A vehicular network with Road Side Units (RSUs) provides an efficient way to connect vehicles even on the move. However, due to high deployment and maintenance cost of RSUs, it is necessary to use fewer RSUs, such that the total cost is minimized. It is suggested that cellular networks, such as Long-Term Evolution (LTE), are capable of fulfilling the demands posed in vehicular network scenarios. Availability of high bandwidth, large coverage area, and low latency are some of the advantages of cellular networks, which help in overcoming the challenges of high-speed vehicular communication. In this paper, we propose a maiden approach to analyze the performance of a vehicular network with cellular infrastructure as a backbone. For this, we use mobile Femto Access Points (FAPs) as relays in place of RSUs. We model the network using $M/M/m$ queue and compare the delay and throughput performance with traditional IEEE 802.11p vehicular networks. We also formulate an optimization problem and propose a subchannel power control algorithm to handle increased co-channel interference, which emerges due to high mobility of vehicles in the network. Our suggested approach shows improvement in terms of delay, throughput, and energy efficiency. The results are verified using extensive simulations.

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Citations
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Journal ArticleDOI

Mobile Edge Computing Empowered Energy Efficient Task Offloading in 5G

TL;DR: This paper formulate an energy optimization problem of offloading, which aims at minimizing the overall energy consumption at all system entities and takes into account of the constraints from both computation capabilities and service delay requirement, and develop an artificial fish swarm algorithm based scheme.
Journal ArticleDOI

Energy-Efficient Edge Computing Service Provisioning for Vehicular Networks: A Consensus ADMM Approach

TL;DR: This paper studies the energy-efficient workload offloading problem and proposes a low-complexity distributed solution based on consensus alternating direction method of multipliers, which is validated based on a realistic road topology of Beijing, China.
Journal ArticleDOI

An Edge Caching Scheme to Distribute Content in Vehicular Networks

TL;DR: A cross-entropy-based dynamic content caching scheme is proposed accordingly to cache the contents at the edge of VCNs based on the requests of vehicles and the cooperation among RSUs and the performance of the proposed scheme is evaluated by extensive simulation experiments.
Journal ArticleDOI

Resource Allocation for Low-Latency Vehicular Communications: An Effective Capacity Perspective

TL;DR: This paper performs spectrum and power allocation to maximize the sum ergodic capacity of vehicle-to-infrastructure (V2I) links while guaranteeing the LVP for vehicle- to-vehicle (V 2V) links using the effective capacity theory.
Journal ArticleDOI

Deep Deterministic Policy Gradient (DDPG)-Based Resource Allocation Scheme for NOMA Vehicular Communications

TL;DR: Numerical results verify that each agent can effectively learn from the environment by means of the proposed DDPG algorithm to maximize the sum-rate of V2I communications while satisfying the stringent latency and reliability constraints of V1V communications.
References
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Journal ArticleDOI

Millimeter Wave Mobile Communications for 5G Cellular: It Will Work!

TL;DR: The motivation for new mm-wave cellular systems, methodology, and hardware for measurements are presented and a variety of measurement results are offered that show 28 and 38 GHz frequencies can be used when employing steerable directional antennas at base stations and mobile devices.
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Femtocell networks: a survey

TL;DR: The technical and business arguments for femtocells are overview and the state of the art on each front is described and the technical challenges facing femtocell networks are described and some preliminary ideas for how to overcome them are given.
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Millimeter Wave Channel Modeling and Cellular Capacity Evaluation

TL;DR: Detailed spatial statistical models of the channels are derived and it is found that, even in highly non-line-of-sight environments, strong signals can be detected 100-200 m from potential cell sites, potentially with multiple clusters to support spatial multiplexing.
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A tutorial on decomposition methods for network utility maximization

TL;DR: This tutorial paper first reviews the basics of convexity, Lagrange duality, distributed subgradient method, Jacobi and Gauss-Seidel iterations, and implication of different time scales of variable updates, and introduces primal, dual, indirect, partial, and hierarchical decompositions, focusing on network utility maximization problem formulations.
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Dual methods for nonconvex spectrum optimization of multicarrier systems

TL;DR: It is shown that under a certain condition called the time-sharing condition, the duality gap of the optimization problem is always zero, regardless of the convexity of the objective function, which leads to efficient numerical algorithms that solve the nonconvex problem in the dual domain.
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