Link error prediction methods for multicarrier systems

Blankenship, Yufei; Sartori, P.; Classon, B.; Desai, V.; Baum, K.L.

doi:10.1109/vetecf.2004.1404865

Cited by 90 publications

(58 citation statements)

References 6 publications

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“…In order to allocate the transmission resources according to the available CSI, namely, bit loading (BL) vector, i.e., bits per active subcarrier, coding rate, and PA vector, the transmitter requires an estimate of GP, called expected goodput (EGP). The analytical formulation of such performance metric under frequency-selective fading channel scenarios is efficiently obtained resorting to the link performance prediction (LPP) method known as effective signal-to-noise ratio mapping (ESM) [30] and, specifically, exploiting the ESM technique proposed in [31]. Thus, the distributed RA strategy allows every user to minimize its power consumption, meeting at the same time its QoS constraint expressed in terms of target EGP, by selfishly allocating its transmission resources.…”

Section: Contributionsmentioning

confidence: 99%

Power-efficient distributed resource allocation under goodput QoS constraints for heterogeneous networks

Andreotti

Fiorentino

Giannetti

et al. 2016

EURASIP J. Adv. Signal Process.

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This work proposes a distributed resource allocation (RA) algorithm for packet bit-interleaved coded OFDM transmissions in the uplink of heterogeneous networks (HetNets), characterized by small cells deployed over a macrocell area and sharing the same band. Every user allocates its transmission resources, i.e., bits per active subcarrier, coding rate, and power per subcarrier, to minimize the power consumption while both guaranteeing a target quality of service (QoS) and accounting for the interference inflicted by other users transmitting over the same band. The QoS consists of the number of information bits delivered in error-free packets per unit of time, or goodput (GP), estimated at the transmitter by resorting to an efficient effective SNR mapping technique. First, the RA problem is solved in the point-to-point case, thus deriving an approximate yet accurate closed-form expression for the power allocation (PA). Then, the interference-limited HetNet case is examined, where the RA problem is described as a non-cooperative game, providing a solution in terms of generalized Nash equilibrium. Thanks to the closed-form of the PA, the solution analysis is based on the best response concept. Hence, sufficient conditions for existence and uniqueness of the solution are analytically derived, along with a distributed algorithm capable of reaching the game equilibrium.

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Section: Contributionsmentioning

confidence: 99%

Power-efficient distributed resource allocation under goodput QoS constraints for heterogeneous networks

Andreotti

Fiorentino

Giannetti

et al. 2016

EURASIP J. Adv. Signal Process.

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“…In this work, the effective signal-to-noise ratio (SNR) is chosen as that criterion. The effective SNR defined as the average SNR across all subcarriers can be computed as [7]:…”

Section: A Beamforming For Single-user Transmissionmentioning

confidence: 99%

Location-Aided Multi-User Beamforming for 60 GHz WPAN Systems

Han

Zhu

Doufexi

et al. 2012

2012 IEEE 75th Vehicular Technology Conference (VTC Spring)

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Abstract-60 GHz wireless personal area networks (WPANs) offer multi-Gbps throughput, which will provide for a new wave of high data rate applications. This paper exploits the use of location information to improve the performance and enhance range of 60 GHz multi-user beamforming systems. When the location information is available at the transmitter, the scheduler chooses a set of maximum angularly separated users to share wireless resources simultaneously. If additional feedback of signal-to-interference and noise ratio (SINR) is known, a location-assisted scheduler is employed to increase the system overall performance. Both numerical and simulated results show that significant enhancement can be achieved by the proposed schedulers for 60 GHz WPAN systems.

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“…Due to frequency selectivity, the qualities of the sub-carriers within a SB may differ; the indicator x i,n should provide a good collective representation of the qualities for all the sub-carriers within the n-th SB Blankenship et al (2004); Ericsson (2003); Lampe & Rohling (2003). For convenience, we assume that the MCS rate R (c) j log 2 M j increases monotonically with j and that the rate of MCS 1 is zero.…”

Section: System Modelmentioning

confidence: 99%

Downlink Resource Scheduling in an LTE System

Kwan¹,

Leung²,

Zhang³

2010

Mobile and Wireless Communications Physical Layer Development and Implementatiom

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The problem of allocating resources to multiple users on the downlink of a Long Term Evolution (LTE) cellular communication system is discussed. An optimal (maximum throughput) multiuser scheduler is proposed and its performance is evaluated. Numerical results show that the system performance improves with increasing correlation among OFDMA subcarriers. It is found that a limited amount of feedback information can provide a relatively good performance. A sub-optimal scheduler with a lower computational complexity is also proposed, and shown to provide good performance. The sub-optimal scheme is especially attractive when the number of users is large, as the complexity of the optimal scheme may then be unacceptably high in many practical situations. The performance of a scheduler which addresses fairness among users is also presented.

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Link error prediction methods for multicarrier systems

Cited by 90 publications

References 6 publications

Power-efficient distributed resource allocation under goodput QoS constraints for heterogeneous networks

Power-efficient distributed resource allocation under goodput QoS constraints for heterogeneous networks

Location-Aided Multi-User Beamforming for 60 GHz WPAN Systems

Downlink Resource Scheduling in an LTE System

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