Exploiting Multiuser Diversity Using Multiple Feedback Thresholds

Hassel, Vegard; Alouini, Mohamed‐Slim; Gesbert, David; Oien, G.E.

doi:10.1109/vetecs.2005.1543519

Cited by 53 publications

(35 citation statements)

References 11 publications

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“…Hassel et al [17] develops the SMUD scheme further by by exploiting multiple SNR thresholds used sequentially. The base station first requests feedback from those users with an SNR exceeding the highest threshold.…”

Section: B Snr-limited Feedbackmentioning

confidence: 99%

Compression of Feedback for Adaptive Transmission and Scheduling

Eriksson

Ottosson

2007

Proc. IEEE

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In multiuser wireless radio systems, it may be possible to increase throughput by reducing the feedback-rate of channel quality data while meeting quality of service requirements. By Thomas Eriksson and Tony OttossonABSTRACT | For wireless systems with adaptive modulation and/or scheduling, feedback of channel quality information is often necessary. It has been questioned whether the increased system performance is worth the additional feedback rate and the increased algorithm complexity.In this paper, we study how the feedback rate can be minimized, without losing the gains due to adaptive modulation and multiuser diversity. We present an in-depth study of the literature in the area, and evaluate the performance of several state-of-the-art channel quality feedback schemes. By illustrating the compromise between system throughput and feedback channel rate for various schemes, we are able to give valuable insight in choice of method for feedback rate reduction. A major conclusion is that for multicarrier systems, a lossy compression scheme is the best choice, while for single-carrier systems, schemes limiting feedback to only high-SNR users show good performance. Another conclusion is that there are still many issues to study before the schemes can be used in practice.

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Section: B Snr-limited Feedbackmentioning

confidence: 99%

Compression of Feedback for Adaptive Transmission and Scheduling

Eriksson

Ottosson

2007

Proc. IEEE

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“…In [7], a contentionbased feedback protocol with multiple threshold in which users compete for feedback minislots based on their channel quality was introduced. In [8], an idea to minimise feedback employing multiple-threshold was proposed. With the feedback reduction algorithm in [8], the users are first probed with the highest threshold.…”

Section: Introductionmentioning

confidence: 99%

“…In [8], an idea to minimise feedback employing multiple-threshold was proposed. With the feedback reduction algorithm in [8], the users are first probed with the highest threshold. If none of the users are above this threshold the threshold value is sequentially lowered until one or more users are found.…”

Section: Introductionmentioning

confidence: 99%

“…3 in Section V in this paper). The algorithm proposed in [8] may also cause capacity loss if there is no user sending feedback within the feedback deadline and the amount of time to wait for at least one user sends feedback is not negligible. This paper presents feedback schemes in which multiples feedback thresholds are applied to mitigate the capacity loss introduced by the use of one-bit feedback scheme.…”

Section: Introductionmentioning

confidence: 99%

“…The numerical results show that our proposed techniques can reduce the capacity loss caused by the one-bit feedback technique for all range of number of users. The proposed technique does not introduce any feedback delay as required in the threshold-based feedback proposed in [8].…”

Section: Introductionmentioning

confidence: 99%

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Opportunistic downlink sum-rate with multiple feedback thresholds

Sandrasegaran

Patachaianand

2010

2010 International Conference on Computer Applications and Industrial Electronics

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Abstract-The achievable sum-rate capacity in multiuser systems grows as an increasing function of the number of users when opportunistic scheduling is employed. The scheduling requires the knowledge of channel state information (CSI) which is generated and sent from the users. It has been verified that the sum-rate capacity of a multiuser system with one-bit CSI feedback scheme by which each user whose channel quality is above an optimally selected threshold sends one-bit feedback has the same growth rate as that with the full CSI. However, the one-bit feedback scheme introduces non-negligible capacity loss to the achievable sum-rate. In this paper, a feedback reduction technique with multiple feedback thresholds is presented and analysed. The analysis yields closed-form expressions of the achievable sum-rate and its lower bound. The numerical results show that approximately 84% of the capacity loss can be eliminated in the system employing three optimally selected feedback thresholds. The lower-bound of the achievable sum-rate approaches the full-CSI sum-rate as the number of thresholds increases.

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Opportunistic multiuser scheduling with reduced feedback load

Al‐Harthi¹

2010

Trans Emerging Tel Tech

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SUMMARYIn this paper, we propose a reduced feedback opportunistic scheduling (RFOS) algorithm that reduces the feedback load while preserving the performance of opportunistic scheduling (OS). The RFOS algorithm is a modified version of our previously proposed algorithm, the DSMUDiv algorithm. The main difference is that RFOS consists of a probing process (search process) and a requesting feedback process based on a threshold. The threshold value is variable, and it depends on the probing process. To reduce the feedback rate, a quantised value indicating the modulation level is fed back, instead of the full value of the signal-to-noise ratio (SNR), which we call quantised SNR. The paper includes the closed-form expressions of the probing load, feedback load and spectral efficiency. In addition, we investigate the effect of the scheduling delay on the system throughput (STH). Under slow Rayleigh fading assumption, we compare RFOS algorithm with the DSMUDiv and optimal (full feedback load) selective diversity scheduling algorithms.

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Exploiting Multiuser Diversity Using Multiple Feedback Thresholds

Cited by 53 publications

References 11 publications

Compression of Feedback for Adaptive Transmission and Scheduling

Compression of Feedback for Adaptive Transmission and Scheduling

Opportunistic downlink sum-rate with multiple feedback thresholds

Opportunistic multiuser scheduling with reduced feedback load

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