Cross‐layer scheduling for multi‐users in cognitive multi‐radio mesh networks

Kim, Wooseong; Park, Joon‐Sang

doi:10.1002/wcm.2256

Cited by 6 publications

(4 citation statements)

References 20 publications

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“…In [18], the authors suggest using the error vector magnitude (EVM) of orthogonal frequency division multiplexing (OFDM) symbols to control data sending rates. In [19], the authors use group request-to-send/group clear-to-send (G-RTS/G-CTS) messages to improve overall network throughput in wireless mesh networks. The proposed algorithm in this paper is different from these approaches mainly because senders adapt their sending rates using ACK frames without requiring any modifications to the existing CSMA/CA mechanism.…”

Section: Related Workmentioning

confidence: 99%

SINR-Based MCS Level Adaptation in CSMA/CA Wireless Networks to Embrace IoT Devices

Cho

2017

Symmetry

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This paper presents an automatic modulation and coding scheme (MCS) level adaptation algorithm to embrace Internet of Things (IoT) devices by improving the area spectral efficiency of carrier-sense multiple access with collision avoidance (CSMA/CA) wireless networks. In the proposed algorithm, senders of CSMA/CA wireless networks use the signal to interference plus noise ratio of acknowledgment frames from their receivers to estimate channel statuses between the senders and the receivers. Using the estimated channel status of each receiver, senders control sending rates of traffic by adjusting MCS levels of packets destined for each receiver. We use Poisson point processes (PPPs) to model the locations of participating nodes (i.e., access points and wireless devices) in a given area. We evaluate the effectiveness of the proposed algorithm using an event-driven ns-2 simulator for various PPP densities of access points and wireless devices.

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Section: Related Workmentioning

confidence: 99%

SINR-Based MCS Level Adaptation in CSMA/CA Wireless Networks to Embrace IoT Devices

Cho

2017

Symmetry

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“…Furthermore, inspired by the work of Grandhi et al [8], the Perron-Frobenius eigenvalue condition, which determines the feasibility of a given matching, is used as a tie to solve link scheduling and power control in an integrated manner. Recently, the authors in [9] proposed a scheduling algorithm of transmission links together with source rate control as a small-timescale approach, which exploits receiver diversity when receivers of multiflows can have different channel conditions because of varying interference.…”

Section: Related Workmentioning

confidence: 99%

Optimizing the throughput‐lifetime tradeoff in wireless sensor networks with link scheduling, rate adaptation, and power control

Kaddour¹

2015

Wireless Communications

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Throughput and lifetime are usually conflicting objectives in designing wireless sensor networks; hence, the right balance needs to be found. With this aim in view, we address in this paper the problem of minimizing the frame length defined within a time division multiple access scheme and the problem of maximizing network lifetime subject to a maximum frame length. The pursued solution in either case leverages a wide range of parameters related to coverage, routing, transmission power, and data rate. Furthermore, it is consistent with the physical interference model. To this end, we rely on column generation technique to derive near-optimal solutions even when the integrality constraints on coverage and flow variables are enforced. Moreover, we propose a polynomial-time heuristic algorithm to solve efficiently the underlying NP-hard problem of concurrent link selection with discrete power control and rate adaptation. Simulation results show that our heuristic algorithm leads to solutions within 3% of optimality while saving around 99% of computation time. Besides, the results illustrate the significant impact of power control and rate adaptation on throughput and lifetime improvement. Interestingly, we found that network lifetime can be significantly prolonged when traffic demands are sufficiently low at the affordable cost of small decrease in throughput.

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“…A spectrum decision framework is proposed to determine a set of spectrum bands by considering the application requirements as well as the dynamic nature of spectrum bands [16]. In [17], the authors proposed Urban-X, which is a first attempt towards multi-radio cognitive mesh networks in industrial, scientific, and medical bands. Urban-X first controls network topology with a distributed channel assignment to avoid interference in large timescale.…”

Section: Related Workmentioning

confidence: 99%

A cross‐layer study for application‐aware multi‐hop cognitive radio networks

Shu

Qian

Yang

et al. 2014

Wireless Communications

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Satisfying the different requirements of applications is important in multi-hop cognitive radio networks, because the spectrum resources change dynamically and the requirements for various applications could be very different. In this paper, we propose new schemes of channel allocation and route selection for real-time and non-real-time applications to tackle this challenge. Our scheme is flexible so that it can adapt to the different application requirements, and it can provide enough throughput while maintaining the packet loss rate and transmission rate requirements. First, we give the network model in a cognitive radio network environment, and show how to calculate the capacity of the route in multi-hop cognitive radio networks. Second, we formulate optimization problems to fulfill the rate requirements of different applications for each unicast session. We also consider the primary user activities, channel availability, interface and interference constraint. We propose the corresponding routing and channel allocation schemes for different application scenarios. Third, we propose an admission control scheme to study the impact of application requirements for multiple sessions in cognitive radio networks. Finally, we implement simulations to show the performance of our schemes and compare them with existing schemes.

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Cross‐layer scheduling for multi‐users in cognitive multi‐radio mesh networks

Cited by 6 publications

References 20 publications

SINR-Based MCS Level Adaptation in CSMA/CA Wireless Networks to Embrace IoT Devices

SINR-Based MCS Level Adaptation in CSMA/CA Wireless Networks to Embrace IoT Devices

Optimizing the throughput‐lifetime tradeoff in wireless sensor networks with link scheduling, rate adaptation, and power control

A cross‐layer study for application‐aware multi‐hop cognitive radio networks

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