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Journal ArticleDOI

A proportional fair scheduling for multicarrier transmission systems

Hoon Kim, +1 more
- 04 Apr 2005 - 
- Vol. 9, Iss: 3, pp 210-212
TLDR
A simple system is presented, which proves its superiority over other schemes for multicarrier transmission, e.g. extended round robin and the PF scheduling scheme for the HDR system.
Abstract
This letter extends the proportional fair (PF) scheduling proposed in the high data rate (HDR) system to multicarrier transmission systems. It is known that the PF allocation (F. P. Kelly et al. (1998)) results in the maximization of the sum of logarithmic average user rates. We propose a PF scheduling that assigns users to each carrier while maximizing the sum of logarithmic average user rates.

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Citations
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Chunk-based resource allocation in OFDMA systems - part I: chunk allocation

TL;DR: In this paper, throughput performance analysis of the chunk-based subcarrier allocation is presented by considering the average bit-error-rate (BER) constraint over a chunk in downlink multiuser orthogonal frequency division multiplexing (OFDM) transmission.
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Scheduling in IEEE 802.16e mobile WiMAX networks: key issues and a survey

TL;DR: The goals of scheduling are to achieve the optimal usage of resources, to assure the QoS guarantees, to maximize goodput and to minimize power consumption while ensuring feasible algorithm complexity and system scalability.
Proceedings ArticleDOI

Performance of Uplink Fractional Power Control in UTRAN LTE

TL;DR: This paper evaluates in detail the impact of a FPC scheme on the SINR and interference distributions in order to provide a sub-optimal configuration tuned for both interference- and noise-limited scenarios.
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Recent Advances in Radio Resource Management for Heterogeneous LTE/LTE-A Networks

TL;DR: This paper presents a comprehensive survey of the RRM schemes that have been studied in recent years for LTE/LTE-A HetNets, with a particular focus on those for femtocells and relay nodes.
Posted Content

A Survey of Downlink Non-orthogonal Multiple Access for 5G Wireless Communication Networks

TL;DR: A simple NOMA model with two users served by a single-carrier simultaneously to illustrate its basic principles is discussed and a more general model with multicarrier serving an arbitrary number of users on each subcarrier is discussed.
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.
Proceedings ArticleDOI

Information capacity and power control in single-cell multiuser communications

TL;DR: By examining the bit error-rate with antipodal signalling, it is shown that an increase in capacity over a perfectly-power controlled (Gaussian) channel can be achieved, especially if the number of users is large, and the inherent diversity in multiuser communications over fading channels is shown.
Journal ArticleDOI

Overview of multicarrier CDMA

TL;DR: The authors present an overview of new multiple access schemes based on a combination of code division and multicarrier techniques, such as multicarrier code-division multiple access (MC-CDMA), multicarriers direct sequence CDMA, and multitone CDMA.
Proceedings ArticleDOI

Data throughput of CDMA-HDR a high efficiency-high data rate personal communication wireless system

TL;DR: Forward link data throughput performance of a high data rate wireless access system is presented and the throughput of the forward link of the embedded sector is simulated for stationary terminals.
Journal ArticleDOI

Providing quality of service over a shared wireless link

TL;DR: It is shown how scheduling algorithms exploiting asynchronous variations of channel quality can be used to maximize the channel capacity and maximize the number of users that can be supported with the desired QoS.
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