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Proceedings ArticleDOI

Spectrum sharing between public safety and commercial users in 4G-LTE

TLDR
This paper considers resource allocation optimization problem in fourth generation long term evolution (4G-LTE) for public safety and commercial users running elastic or inelastic traffic, and presents a rate allocation algorithm to allocate the eNodeB resources optimally among public safety or commercial users.
Abstract
In this paper, we consider resource allocation optimization problem in fourth generation long term evolution (4G-LTE) for public safety and commercial users running elastic or inelastic traffic. Each mobile user can run delay-tolerant or real-time applications. In our proposed model, each user equipment (UE) is assigned a utility function that represents the application type running on the UE. Our objective is to allocate the resources from a single evolved node B (eNodeB) to each user based on the user application that is represented by the utility function assigned to that user. We consider two groups of users, one represents public safety users with elastic or inelastic traffic and the other represents commercial users with elastic or inelastic traffic. The public safety group is given priority over the commercial group and within each group the inelastic traffic is prioritized over the elastic traffic. Our goal is to guarantee a minimum quality of service (QoS) that varies based on the user type, the user application type and the application target rate. A rate allocation algorithm is presented to allocate the eNodeB resources optimally among public safety and commercial users. Finally, the simulation results are presented on the performance of the proposed rate allocation algorithm.

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Citations
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Proceedings ArticleDOI

Spectrum sharing between S-band radar and LTE cellular system: A spatial approach

TL;DR: The proposed spatial spectrum-sharing algorithm is radar-centric such that it causes minimum loss in radar performance by carefully selecting the interference channel and at the same time protects the ith LTE BS from the radar interference.
Proceedings ArticleDOI

Resource allocation with carrier aggregation in LTE Advanced cellular system sharing spectrum with S-band radar

TL;DR: A carrier aggregation resource allocation algorithm to allocate the LTE Advanced and the radar carriers' resources optimally among users based on the type of user application and gives priority to users running inelastic traffic when allocating resources.
Proceedings ArticleDOI

An optimal application-aware resource block scheduling in LTE

TL;DR: This paper introduces an approach for application-aware resource block scheduling of elastic and inelastic adaptive real-time traffic in fourth generation Long Term Evolution (LTE) systems and presents a centralized scheduling algorithm to allocate evolved NodeB (eNodeB) resources optimally with a priority criterion.
Posted Content

A Utility Proportional Fairness Resource Allocation in Spectrally Radar-Coexistent Cellular Networks

TL;DR: In this article, the feasibility of spectrum sharing between sectorized cellular systems and stationary radars interfering with certain sectors of the communications infrastructure is studied, and the rate allocation problem is formulated as two convex optimizations, where the radar-interfering sector assignments are extracted from the portion of the spectrum non-overlapping with the radar operating frequency.
Proceedings ArticleDOI

A Utility Proportional Fairness Resource Allocation in Spectrally Radar-Coexistent Cellular Networks

TL;DR: This research studies the feasibility of sharing the spectrum between sectorized cellular systems and stationary radars interfering with certain sectors of the communications infrastructure and explores allocating optimal resources to mobile devices.
References
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Journal ArticleDOI

Rate control for communication networks: shadow prices, proportional fairness and stability

TL;DR: This paper analyses the stability and fairness of two classes of rate control algorithm for communication networks, which provide natural generalisations to large-scale networks of simple additive increase/multiplicative decrease schemes, and are shown to be stable about a system optimum characterised by a proportional fairness criterion.
Journal ArticleDOI

Downlink power allocation for multi-class wireless systems

TL;DR: This paper develops a simple algorithm to obtain a power allocation that is asymptotically optimal in the number of mobiles based on dynamic pricing and provides numerical results that illustrate the performance of the algorithm.
Proceedings ArticleDOI

A utility proportional fairness approach for resource allocation in 4G-LTE

TL;DR: The goal is that every user subscribing for the mobile service should have a minimum quality-of-service (QoS) with a priority criterion and it is proved that the resource allocation optimization problem is convex and therefore the optimal solution is tractable.
Proceedings ArticleDOI

Utility-proportional fairness in wireless networks

TL;DR: A NUM framework for wireless networks that shares resources according to the utility proportional fairness policy is presented to prevent rate oscillations in the resource allocation process, allocate resources in a more fair manner among different types of applications and lead to the calculation of closed form solutions for the optimal rate allocation function.
Proceedings ArticleDOI

Resource allocation considerations for multi-carrier LTE-Advanced systems operating in backward compatible mode

TL;DR: This paper proposes a simple cross CC packet scheduling algorithm that improves the resource allocation fairness among the two categories of users and is shown to be effective in providing better coverage performance with no loss of the overall cell throughput.
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