Information capacity and power control in single-cell multiuser communications

Knopp, Raymond; Humblet, P.A.

doi:10.1109/icc.1995.525188

Cited by 1,779 publications

(1,379 citation statements)

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“…For a special case which maximizes the network throughput under minimal bandwidth constraints, the optimal scheduling criteria are given by (4). Moreover, we prove that our scheme not only maximizes the network performance but also improves each flow's performance compared with the nonopportunistic policies.…”

Section: Propositionmentioning

confidence: 92%

“…These authors showed in [4] that the total uplink capacity can be maximized by choosing the user with the best channel to transmit. Tse extended the study of [4] to downlink cases in [5], which showed that the same access scheme is also valid. The aforementioned scheduling algorithms independently work in individual cells.…”

Section: Related Workmentioning

confidence: 99%

“…In our simulation, we also vary the mobile speed 4 and Ricean parameter K to evaluate the impact of the channel variation on the network throughput. Fig.…”

Section: A Two-transmitter Scenariomentioning

confidence: 99%

“…In wireless networks, a node may have packets destined to multiple neighboring nodes. It is first observed, in the context of cellular networks, that selecting an instantaneous "on-peak" receiver with the best channel condition improves the system performance [4]- [6]. Motivated by this effect, practical opportunistic scheduling schemes have been implemented in Qualcomm's high data-rate (HDR) system [7].…”

mentioning

confidence: 99%

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QoS-Aware Cooperative and Opportunistic Scheduling Exploiting Multi-user Diversity for Rate Adaptive Ad Hoc Networks

Niu¹

Mobile Ad-Hoc and Sensor Networks

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Abstract-The recent research works in wireless networks prompt the opportunistic transmission that exploits channel fluctuations to improve the overall system performance. In wireless ad hoc networks, nodes may have packets destined to multiple neighboring nodes. We consider an opportunistic scheduling that takes advantage of a time-varying channel among different receivers to improve system performance. Maximizing the overall throughput and satisfying the QoS requirements for the transmission flows are two important objectives that need to be considered. In literature, many opportunistic scheduling policies for ad hoc networks have been proposed, in which each transmitter independently schedules the transmission. However, due to cochannel interference, the decisions of neighboring transmitters are highly correlated. Moreover, to achieve the QoS requirements, the nodes have to be cooperative to share the common wireless channel. In this paper, we formulate the opportunistic scheduling problem, taking the interaction among the neighboring transmitters into account. We present an optimal scheduling policy which maximizes the overall network performance while satisfying the QoS requirements of the individual flows. We also propose a distributed cooperative and opportunistic scheduling algorithm that modifies the IEEE 802.11 protocol to implement the optimal scheduling policy. Simulation results indicate that our implementation achieves higher network throughput and provides better QoS support than the existing solutions.

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Section: Propositionmentioning

confidence: 92%

Section: Related Workmentioning

confidence: 99%

“…In our simulation, we also vary the mobile speed 4 and Ricean parameter K to evaluate the impact of the channel variation on the network throughput. Fig.…”

Section: A Two-transmitter Scenariomentioning

confidence: 99%

mentioning

confidence: 99%

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QoS-Aware Cooperative and Opportunistic Scheduling Exploiting Multi-user Diversity for Rate Adaptive Ad Hoc Networks

Niu¹

Mobile Ad-Hoc and Sensor Networks

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“…In a timevarying environment such as a wireless channel, it is known that exploiting the multiuser nature of the channel by opportunistic transmission maximizes the throughput of such a system [1]. This however requires the full knowledge of the channel state information (CSI) at the transmitter and the receivers.…”

Section: Introductionmentioning

confidence: 99%

The Effect of Channel Estimation Error on the Throughput of Broadcast Channels

Vakili

Sharif

Hassibi

2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings

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In a broadcast channel in which one transmitter serves receivers, the capacity region highly depends on the amount of channel state information (CSI) at the transmitter. Assuming that the transmitter knows the SNR of all the receivers, opportunistic strategy maximizes the throughput (sum-rate) of the system. It is usually assumed that CSI is accurate, however, evaluating the SNR is basically an estimation problem in the receiver which cannot be done without error. In this paper, we analyze the effect of the noisy estimation of SNR on the throughput of a broadcast channel. We propose a generalization of the opportunistic transmission in which the transmitter still sends to the user with the highest estimated SNR, but backs off on the transmit rate based on the variance of the estimation error. We obtain the optimum amount of back off and compute the throughput for our scheduling scheme. Clearly, the estimation can be improved by using a longer training phase; however, longer training would deteriorate the throughput. In the final part of the paper, we address this trade off and obtain the optimum training strategy that maximizes the throughput of the system.

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