On the use of feedback information to increase throughput in multiple access radio systems

LaMaire, R.O.; Krishna, A.

doi:10.1109/icupc.1997.627298

Cited by 27 publications

(41 citation statements)

References 5 publications

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“…Insights From Asymptotic Results: As P * N ,P * N , and P * N are all monotonically increasing functions of N, we see from (16) and (17), (22) and (23), and (28) and (29) that for any N, the optimal success probability for L = 2 with η = 1, L = 2 with η = 2, and L = 3 with η = 1 is never less than P * 0 = 0.47,P * 0 = 0.50, and P * 0 = 0.51, respectively, as K → ∞. These show that the scheme is scalable.…”

Section: Three Target Receive Power Levelsmentioning

confidence: 92%

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Timer-Based Distributed Node Selection Scheme Exploiting Power Control and Capture

Dewangan

Mehta

2015

IEEE Trans. Wireless Commun.

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Abstract-Opportunistic selection in multi-node wireless systems improves system performance by selecting the "best" node and by using it for data transmission. In these systems, each node has a real-valued local metric, which is a measure of its ability to improve system performance. Our goal is to identify the best node, which has the largest metric. We propose, analyze, and optimize a new distributed, yet simple, node selection scheme that combines the timer scheme with power control. In it, each node sets a timer and transmit power level as a function of its metric. The power control is designed such that the best node is captured even if η other nodes simultaneously transmit with it. We develop several structural properties about the optimal metric-to-timer-and-power mapping, which maximizes the probability of selecting the best node. These significantly reduce the computational complexity of finding the optimal mapping and yield valuable insights about it. We show that the proposed scheme is scalable and significantly outperforms the conventional timer scheme. We investigate the effect of η and the number of receive power levels. Furthermore, we find that the practical peak power constraint has a negligible impact on the performance of the scheme.

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Section: Three Target Receive Power Levelsmentioning

confidence: 92%

“…Power control has been used to improve the performance of MAC protocols [3], [16], [17]. While the goal of a MAC protocol is to maximize the system throughput or to minimize latency, a selection scheme focuses on selecting the best node.…”

Section: Connections and Differences From Related Workmentioning

confidence: 99%

Timer-Based Distributed Node Selection Scheme Exploiting Power Control and Capture

Dewangan

Mehta

2015

IEEE Trans. Wireless Commun.

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“…They have considered spatial Poisson process 978-1-4244-6404-3/10/$26.00 ©2010 IEEE for the wireless nodes distribution, and a simple propagation model, i.e., power-law attenuation without any fading and shadowing, in order to consider the effect of capture. On the other hand, some of the nice research works ( [15]) have been done for simpler MAC scheme, i.e., slotted Aloha, that indicates power randomization is an effective factor in throughput enhancement.…”

Section: Introductionmentioning

confidence: 99%

Effect of Power Randomization on Saturation Throughput of IEEE 802.11 WLAN

Sahraei

Ashtiani

2010

2010 IEEE International Conference on Communications

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Abstract-In this paper, we evaluate the saturation throughput for an IEEE 802.11 based wireless network considering capture effect at the receiver, while nodes transmit with random powers. In this respect, we consider a scenario consisting of a specific number of wireless nodes. Then, we derive the transmission as well as collision probabilities with respect to the perfect capture effect. In order to maximize the saturation throughput we set up an optimization problem and obtain how to compute optimum values for the probabilities corresponding to different power levels. By providing the numerical results, we deduce that power randomization may lead to a significant improvement in saturation throughput.

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“…The random selection of power levels to optimize the capture effect has been discussed since at least the late 1980's [6]. More recent workers have considered selection from discrete power sequences to optimize the recovery of the weaker signal also [7] and Xu et al [8] recently proved that discrete sequences work best under realistic coding algorithms.…”

Section: Power Level Selectionmentioning

confidence: 99%

Free Space Attenuation and Throughput in a Wireless Mobile Network Using Successive Interference Cancellation with Power Randomization

Tunnicliffe

2013

2013 UKSim 15th International Conference on Computer Modelling and Simulation

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-Successive Interference Cancellation (SIC) with Power Randomization (SPR) is simulated for a fully meshed wireless network whose nodes may be stationary and equidistant or mobile within a circumscribed area. When the power level differences are just sufficient to allow multi-user detection with equidistant nodes, the introduction of mobility is found to reduce throughput. However when power level differences are dilated, the adverse effect on throughput is not only reduced but reversed when considering group averages over long intervals.

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On the use of feedback information to increase throughput in multiple access radio systems

Cited by 27 publications

References 5 publications

Timer-Based Distributed Node Selection Scheme Exploiting Power Control and Capture

Timer-Based Distributed Node Selection Scheme Exploiting Power Control and Capture

Effect of Power Randomization on Saturation Throughput of IEEE 802.11 WLAN

Free Space Attenuation and Throughput in a Wireless Mobile Network Using Successive Interference Cancellation with Power Randomization

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