Joint Relay Selection and Adaptive Modulation and Coding for Wireless Cooperative Communications

Xiao, Yong; Jin, Xin; Shen, Yanhua; Guan, Quansheng

doi:10.1109/jsen.2021.3079331

Cited by 11 publications

(3 citation statements)

References 42 publications

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“…In carrier communication, modulation and power control are two key technologies. Adaptive modulation and power control are one of the methods to improve the performance of the system by automatically adjusting the frequency and intensity of the modulation signal to accommodate different channel environments [3]. Adaptive modulation and power control are a very important aspect in carrier communication because it can improve the efficiency and reliability of the system [4][5].…”

Section: Introductionmentioning

confidence: 99%

Adaptive modulation and power control algorithm optimization in carrier communication

Zhang,

2024

Fourth International Conference on Sensors and Information Technology (ICSI 2024)

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Adaptive modulation and power control technology is an important technique in carrier communication, which can achieve a good balance between improving communication system performance and rational resource allocation. Because the delay and fading of each channel in the communication system are different, in this process, the selection of modulation mode needs to consider channel fading, transmission power, reception signal to noise ratio and other factors. This article studies an adaptive modulation and power control algorithm based on signal-to-noise ratio, with signal noise ratio as an important parameter. It can adaptively select modulation methods and transmission power based on channel conditions, thereby improving communication system performance without increasing channel capacity and system complexity. The research results indicate that after optimizing the algorithm in this article, the performance has been significantly improved in terms of error rate, throughput, and communication delay.

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Section: Introductionmentioning

confidence: 99%

Adaptive modulation and power control algorithm optimization in carrier communication

Zhang,

2024

Fourth International Conference on Sensors and Information Technology (ICSI 2024)

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“…In the meanwhile, wireless networks are increasingly turning to cooperative communications to boost throughput and/or dependability [15], [16]. This is facilitated with the assistance of one or more relaying nodes, which allow a source to deliver data to its intended recipient.…”

Section: Introductionmentioning

confidence: 99%

Coded Assisted Transmit and Receive IQ Mismatch Compensation With Channel Estimation for AF Cooperative OFDM Systems

Marey

Mostafa

2023

IEEE Access

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Amplify-and-forward (AF) orthogonal frequency division multiplexing (OFDM) transmissions encounter a significant difficulty in the form of in-phase and quadrature phase (IQ) mismatch. Previous reports on this problem have solely been discussed in the context of uncoded transmissions. In addition, in these precedent studies, IQ equalization must be conducted following the estimation stage for accurate detection of data symbols. This research delves into the issue of the IQ mismatch between transmission and reception in AF-OFDM systems in the context of channel coding. We design a magnificent code-aided approach to predict the overall channel impulse responses (CIRs), which encompass the actual CIRs and IQ mismatch originating at the source, relay, and destination. Instead of using a collection of algorithms, the proposed approach can be utilized to estimate nine parameters simultaneously. Due to the impractical nature of the precise maximum-likelihood (ML) strategy to this situation, we instead utilize an expectation-maximization (EM) process as a low complexity strategy to predict the parameters under consideration. The suggested estimation approach uses an iterative process to improve predictions exploiting the a priori knowledge gained from the soft information supplied by the channel decoder. In addition, we demonstrate how to carry out data detection by making use of the estimated parameters. The simulation results verify the effectiveness of the proposed estimator and detector for usage in real-world settings, with superiority over the conventional ones.

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“…The dual-hop approach is an additional essential method for improving the performance and reliability of communications systems without the need to deploy numerous antennas, which raise the device's price, power utilization, and size [15][16][17]. By using neighboring nodes, the broadcast signal can be replicated and sent to the recipient through several, potentially unreliable, fading pathways.…”

Section: Introductionmentioning

confidence: 99%

IQM Mitigation Algorithm with Channel Awareness for Upstream SC-FDMA Systems in the Context of Dual-Hop Broadcasts

2023

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A challenging issue for single carrier frequency division multiple access (SC-FDMA) transmissions is in-phase and quadrature-phase mismatch (IQM). There has been prior reporting on this issue; however, it has always been in the setting of single-hop broadcasts. This study explored the problem of IQM in multiple users upstream SC-FDMA networks within the framework of amplify-and-forward (AF) dual-hop transmissions. We got closer to realistic scenarios by supposing that each node in the network creates its own IQM. Moreover, we profited from the channel decoders that are included in most wireless standards to provide a valuable aid to the offered estimator. A mathematical analysis revealed that IQM originating from all nodes can be merged into channel coefficients to provide so-called effective channel coefficients. This eliminates the requirement for a chain of algorithms to be employed at each node to estimate and adjust for IQM, as well as the algorithms needed to evaluate channel coefficients between the base station and each node in the network. A theoretical investigation showed that the maximum likelihood (ML) solution to the effective channel coefficients estimation is too complicated to be applied in reality. Alternatively, we employed a simple methodology relying on the space-alternating generalized expectation maximization (SAGE) process to determine the ML predictions of the required parameters. The proposed approach incorporates a feedback loop in which the estimator and the channel decoder exchange information to boost one another’s efficiency. Furthermore, we detail how to execute data detection by making use of the predicted effective channel coefficients. The simulation results verify the effectiveness of the proposed approach and show that it outperforms the current methods.

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Joint Relay Selection and Adaptive Modulation and Coding for Wireless Cooperative Communications

Cited by 11 publications

References 42 publications

Adaptive modulation and power control algorithm optimization in carrier communication

Adaptive modulation and power control algorithm optimization in carrier communication

Coded Assisted Transmit and Receive IQ Mismatch Compensation With Channel Estimation for AF Cooperative OFDM Systems

IQM Mitigation Algorithm with Channel Awareness for Upstream SC-FDMA Systems in the Context of Dual-Hop Broadcasts

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