Adaptive multidimensional coded modulation over flat fading channels

Hole, Kjell; Holm, Henrik; Oien, G.E.

doi:10.1109/49.857915

Cited by 222 publications

(91 citation statements)

References 16 publications

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“…This approach has also been adopted by Hole et al [10], where bit error rate (BER) is used as figure of merit.…”

Section: Amc Design At the Physical Layermentioning

confidence: 99%

QoS Support for Cross-Layer Scheduling Algorithm in Wireless Networks

2016

IJSR

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Scheduling plays an crucial role in providing quality of service (QoS) support to multimedia communications in different kinds of wireless networks, including wireless sensor networks, cellular networks and mobile ad hoc networks. The authors proposed a scheduling algorithm at the medium access control (MAC) layer for multiple connections with diverse QoS requirements, where every connection employs adaptive modulation and coding (AMC) scheme at the physical (PHY) layer over wireless fading channels. Each connection is assigned with a priority, which is updated dynamically based upon its channel and service status; the connection with highest priority is scheduled every time. The authors scheduler provides diverse QoS guarantees, uses wireless bandwidth efficiently, and enjoys scalability, flexibility and low implementation complexity. Its performance cab be evaluated via simulations.

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“…This approach has also been adopted by Hole et al [10], where bit error rate (BER) is used as figure of merit.…”

Section: Amc Design At the Physical Layermentioning

confidence: 99%

QoS Support for Cross-Layer Scheduling Algorithm in Wireless Networks

2016

IJSR

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“…The achievable channel capacity of adaptive transmissions employing maximal ratio combining for transmission over correlated Rayleigh fading channels was quantified in [37], while a joint data and voice transmission scheme was proposed in [38]. Suffice to mention here a few examples of classic single-carrier contributions by Sampei, Komaki, Otsuki, and Morinaga [39]- [41] or the sophisticated joint adaptive joint coding and modulation schemes studied by Hole et al [42] as well as by Duong, Oien, and Hole. These adaptive concepts were embedded into a rate-compatible punctured convolutionally coded CDMA system by Frenger et al [43], while in [44] the expected channel quality estimation was improved by prediction.…”

Section: A Time-variant Target Bit-rate Aofdmmentioning

confidence: 99%

Near-Instantaneously Adaptive HSDPA-Style OFDM Versus MC-CDMA Transceivers for WIFI, WIMAX, and Next-Generation Cellular Systems

Hanzo

Choi²

2007

Proc. IEEE

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“…In this paper, we introduce an ACM scheme [19,20] into MSNs system to choose the channel's data rates according to SNR under BER bound and average power constraint. Under the scheme, min and max are separately the minimum and the maximum date rates.…”

Section: Delay Bound and Energy-optimal Schemementioning

confidence: 99%

A Dynamic and Energy-Efficient Clustering Algorithm in Large-Scale Mobile Sensor Networks

Liu

Ruan

2013

International Journal of Distributed Sensor Networks

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Random mobility and energy constraint are two main factors affecting system performance in mobile sensor networks, which cause many difficulties to system design. It is necessary to develop high-efficiency algorithms and protocols for mobile sensor networks to adapt to dynamic network environment and energy limitation. In this paper, a new clustering algorithm based on residual energy difference ratio is presented to improve system performance. Firstly, it is an energy-efficient algorithm. The residual energy of sensor nodes and average residual energy of system are considered in the residual energy difference ratio, which effectively avoid the nodes with low residual energy being selected as cluster heads. An energy-optimal scheme is used in cluster formation phase to minimize energy consumption. Secondly, it is a dynamic algorithm. The system dynamically clusters the sensor nodes according to the data transmission delays. It makes the whole system adapt to the random mobility of sensor nodes. The NS2 software is used to simulate the new clustering algorithm. The simulation experiments can verify the validity of the proposed theory.

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Adaptive multidimensional coded modulation over flat fading channels

Cited by 222 publications

References 16 publications

QoS Support for Cross-Layer Scheduling Algorithm in Wireless Networks

QoS Support for Cross-Layer Scheduling Algorithm in Wireless Networks

Near-Instantaneously Adaptive HSDPA-Style OFDM Versus MC-CDMA Transceivers for WIFI, WIMAX, and Next-Generation Cellular Systems

A Dynamic and Energy-Efficient Clustering Algorithm in Large-Scale Mobile Sensor Networks

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