Hybrid type-II ARQ/AMS supported by channel predictive scheduling in a multi-user scenario

Ericsson, Nilo Casimiro; Åhlén, Anders; Falahati, Sorour; Svensson, Arne

doi:10.1109/vetecf.2000.886132

Cited by 11 publications

(5 citation statements)

References 13 publications

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“…For low-BER requirements, even a small prediction error leads to a substantial departure from the desired BER. For example, with uncoded -QAM modulation, 7 increasing from 4 to 5 bits per symbol at a signal-to-noise ratio (SNR) of 20 dB increases the BER by a factor of more than . (Use of coding increases the sensitivity.)…”

Section: B Knowledge Of Average Source Rates and Accuracy Of Capacitmentioning

confidence: 99%

“…In order to find a closed-form expression for the expected loss, we make a logic partitioning of each buffer into buffers. Hence, each user's 7 Approximate BER formulas from [39] are used in these calculations.…”

Section: Knowledge Of Average Rates For Each Packet Sizementioning

confidence: 99%

“…In [6], [7], a framework is suggested for scheduling several time slots ahead which takes known buffer sizes into account but requires perfect channel prediction. Another rule, the proportional fair scheduler [8], gives exclusive access to the user who currently has the highest effective capacity normalized by its average allocated throughput, thus, striking a balance between fairness and performance, but again requiring complete knowledge of the effective capacities.…”

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confidence: 99%

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Resource Allocation Under Uncertainty Using the Maximum Entropy Principle

Johansson

Sternad

2005

IEEE Trans. Inform. Theory

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Abstract-In this paper, we formulate and solve a problem of resource allocation over a given time horizon with uncertain demands and uncertain capacities of the available resources. In particular, we consider a number of data sources with uncertain bit rates, sharing a set of parallel channels with time-varying and possibly uncertain transmission capacities. We present a method for allocating the channels so as to maximize the expected system throughput. The framework encompasses quality-of-service (QoS) requirements, e.g., minimum-rate constraints, as well as priorities represented by a user-specific cost per transmitted bit. We assume only limited statistical knowledge of the source rates and channel capacities. Optimal solutions are found by using the maximum entropy principle and elementary probability theory.The suggested framework explains how to make use of multiuser diversity in various settings, a field of recently growing interest in communication theory. It admits scheduling over multiple base stations and includes transmission buffers to obtain a method for optimal resource allocation in rather general multiuser communication systems.

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Section: B Knowledge Of Average Source Rates and Accuracy Of Capacitmentioning

confidence: 99%

Section: Knowledge Of Average Rates For Each Packet Sizementioning

confidence: 99%

mentioning

confidence: 99%

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Resource Allocation Under Uncertainty Using the Maximum Entropy Principle

Johansson

Sternad

2005

IEEE Trans. Inform. Theory

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“…Our results show relatively high packet error rate (PER) but some applications can still operate in a satisfactory fashion in these conditions, such as voice communication. Voice communication requires a low latency but is, on the other hand, not sensitive to occasional errors or packet losses [4]. An advantage of this system is that it uses a low complexity receiver, which sends binary feedback and a low complexity transmitter, which does not need to estimate the channel.…”

Section: Introductionmentioning

confidence: 99%

Blind adaptive modulation systems for wireless channels with binary feedback

Al‐Harthi

Tewfik

Alouini

2006

Wireless Communications

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In this paper, we investigate the performance of a blind adaptive modulation scheme that does not require any channel knowledge and just uses binary feedback, thereby decreasing feedback load. Retransmission of erroneous packet is not considered. In particular, we present an analytical framework for the performance evaluation of a simple wireless system in terms of receiver and transmitter structure. The system requires no knowledge of the channel and relies on a binary feedback. Slow and fast Rayleigh fading channel conditions are considered. The paper includes the derivation of the closed-form expressions of the spectral efficiency. In some cases, closed-form expression for packet error rate (PER) are derived. Our results show relatively high PER but some applications can still operate in a satisfactory fashion in these conditions, such as voice communication. Using coded modulation with high coding gain and increasing the number of blocks per time slot decrease the PER even more. An advantage of this system is that it uses a low complexity receiver, which sends binary feedback.

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“…To summarize, IR allows the effective code rate to be gradually lowered until the packet can be successfully decoded. The principle of the HARQ-II+AMC [5] is to start at an initial constellation and coding rate and to use a more robust mode at each retransmission either by reducing the coding rate (e.g. from 3 4 to 2 3 ) or by selecting a more robust constellation (e.g.…”

Section: Hybrid Arq Schemesmentioning

confidence: 99%

Performance evaluation of some hybrid ARQ schemes in IEEE 802.11a networks

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The 57th IEEE Semiannual Vehicular Technology Conference, 2003. VTC 2003-Spring.

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This paper investigates how a type II Hybrid ARQ (HARQ) scheme combined with Adaptive Modulation and Coding (AMC) can improve the throughput on top of the MAC layer, by comparing it to the existing type I HARQ + AMC mechanism in the IEEE 802.11a context . The studied type II HARQ+AMC strategy relies on Incremental Redundancy (IR) by use of Rate Compatible Punctured Codes as well as Chase Combining. The performance of the various strategies is mainly affected by two parameters. One of these is the inaccuracy of the link quality predictor, since the SNIR inherently fluctuates due to fading and interference; the other is the MAC overhead, which is especially important in IEEE 802.11a due to the CSMA/CA protocol. From the simulation results presented in this paper, it can be observed that even when MAC overhead is taken into account, the type II HARQ+AMC strategy still provides up to 1.5dB gain with respect to current type I HARQ + AMC scheme.

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Hybrid type-II ARQ/AMS supported by channel predictive scheduling in a multi-user scenario

Abstract: Abstract

Cited by 11 publications

References 13 publications

Resource Allocation Under Uncertainty Using the Maximum Entropy Principle

Resource Allocation Under Uncertainty Using the Maximum Entropy Principle

Blind adaptive modulation systems for wireless channels with binary feedback

Performance evaluation of some hybrid ARQ schemes in IEEE 802.11a networks

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