A Novel Fuzzy Inference-Based Technique for Dynamic Link Adaptation in SDR Wideband Waveform

Zeeshan, Muhammad; Khan, Shoab Ahmed

doi:10.1109/tcomm.2016.2560164

Cited by 12 publications

(4 citation statements)

References 23 publications

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“…It uses sequential optimization for the resource allocation of multiple nodes. A fuzzy inferencebased scheme for link adaptation in burst mode wideband networking waveform of SDRs is presented in [13]. The aim is to reduce the overhead caused due to re-transmission through the cognition of transmission characteristics of transmitter and receiver based on channel variations and user QoS requirements for multicode CDMA in the physical layer.…”

Section: Related Workmentioning

confidence: 99%

Adaptive Multi-Input Medium Access Control (AMI-MAC) Design Using Physical Layer Cognition for Tactical SDR Networks

et al. 2021

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Tactical software defined radio (SDR) networks demand stringent requirements of latency, throughput, and reliability. In the past, significant efforts have been made to achieve maximal efficiency with modifications and improvements either in an individual layer or through the cross-layer design of its working protocol. In this paper, we propose a novel cross-layer design consisting of adaptive multi-input medium access control (AMI-MAC) layer along with an intelligent channel allocation scheme supported by a multiband multimode physical layer. A cognitive engine further empowers this cross-layer design approach to achieve high throughput, improved quality of service (QoS), and adaptive range capabilities. The proposed physical layer exhibits a mixed use of narrowband and wideband waveforms accommodating different range requirements as per demanded QoS. The uniqueness of the proposed physical layer enables SDR to operate in hybrid topology by receiving multiple narrowband signals of different bandwidths with the same configuration of wideband RF front end. The proposed AMI-MAC design ensures a reduction in both control and data phase latency. MAC layer ensures the maximal utilization of the time and frequency spectrum. Bandwidth and delay optimization is also managed by the proposed trio of the physical layer, MAC, and cognition to reduce latency and achieve desired QoS. Simulation results are presented to show the superiority of the proposed design over conventional tactical radio MAC.

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Section: Related Workmentioning

confidence: 99%

Adaptive Multi-Input Medium Access Control (AMI-MAC) Design Using Physical Layer Cognition for Tactical SDR Networks

et al. 2021

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“…Currently, various AMC algorithms are available for either single carrier based i.e. Time Division Multiple Access (TDMA) or Code Division Multiple Access (TDMA) and/or multicarrier OFDM based [18][19][20][21][22][23][24][25]. An FBMC/OQAM based link adaptation algorithm utilizing the Low Density Parity Check (LDPC) codes has been presented in [26], where the performance analysis has done under AWGN environment without the consideration of user throughput requirements.…”

Section: Introductionmentioning

confidence: 99%

“…Although the proposed AMC algorithm enhances energyefficiency at the receiving end, it results in throughput degradation at the transmitting end. A Fuzzy Rule Based Inference (FRBS) link adaptation algorithm with hybrid adaptive Time Division Multiple Access (TDMA)/ Multicode Code Division Multiple Access (MCDMA) based wideband networking waveform of SDR was proposed in [21]. A constrained optimization problem is formulated and then solved by forming Fuzzy Rule Matrix (FRM) in order to reduce packet re-transmission overhead in this paper.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Link Adaptation For Filterband Multicarrier In Networks With Diverse Service Quality And Throughput Requirements

Tiwana

Zeeshan

Ashraf

et al. 2021

Preprint

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The fast evolution in wireless communication standards and enhancement in cellular applications has created an exponential rise in the data rate requirement over the past few decades. The next generation wireless standards, therefore, need not only to provide ultra high data rates with minimum latency, but also to support diverse quality-of-service (QoS) requirements. Filterbank multicarrier (FBMC) scheme provides quite a few advantages over the conventional orthogonal frequency division multiplexing (OFDM) for future wire- less networks. In order to achieve adaptive throughput and diverse service quality requirements under varying channel conditions, a link adaptation algorithm for FBMC scheme is proposed in this paper. The aim is to provide the dynamic selection of optimum parameters resulting in diverse modes of operation to ensure the desired and/or best available communication service quality. The proposed link adaptation algorithm incorporates the parameters of required data rate, available channel condition and QoS demand, and dynamically allocates the appropriate FBMC transmission parameters. The proposed scheme has been evaluated for AWGN as well as multipath fading SUI channel models. Simulation results indicate that the proposed algorithm successfully achieves the desired service quality subject to the availability of suitable channel conditions and is also superior to the existing algorithms in terms of block error rate and effective throughput.

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“…The experiments reported show that the proposed framework can successfully classify each MCS and perform perfect selection of MCS for frequency flat fading channels. In [8], was proposed an approach for link adaptation using fuzzy rule-based system for packet-based wideband networking waveform of software defined radio. According to the authors, this system selects an optimum pair of modulation and multicode indices to provide possible maximum or desired throughput, depending upon the throughput required by the user or application.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Bayesian Approach Applied in Link Adaptation Problem for Fifth Generation Network

Nascimento¹,

Cavalcanti²,

Almeida³

et al. 2020

Anais De XXXVIII Simpósio Brasileiro De Telecomunicações E Processamento De Sinais

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With technological development, wireless communication has been one of the fastest growing fields of Computing and Engineering in recent years. This fact requires that new approaches be developed to ensure better performance and reliability in wireless communication. In this paper a new approach has been proposed as a solution to the problem of adaptive modulation and coding (AMC), through the development of an extension of the method naive Bayesian classifier, known as dynamic naive Bayesian classifier, to maximize spectral efficiency. The proposed approach exhibits a better performance than k-nearest neighbours algorithm and the traditional Look-Up table solution, with average classification error 2.85%, which represents approximately 10% with respect to the most similar method.

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A Novel Fuzzy Inference-Based Technique for Dynamic Link Adaptation in SDR Wideband Waveform

Cited by 12 publications

References 23 publications

Adaptive Multi-Input Medium Access Control (AMI-MAC) Design Using Physical Layer Cognition for Tactical SDR Networks

Adaptive Multi-Input Medium Access Control (AMI-MAC) Design Using Physical Layer Cognition for Tactical SDR Networks

Dynamic Link Adaptation For Filterband Multicarrier In Networks With Diverse Service Quality And Throughput Requirements

Dynamic Bayesian Approach Applied in Link Adaptation Problem for Fifth Generation Network

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