Timing and Carrier Synchronization by Offset Estimation for Cooperative Relay Networks

Sureshkumar, K.; Ezhilazhagan, C.; Ramakrishnan, M.

doi:10.17485/ijst/2015/v8is9/59193

Cited by 2 publications

(5 citation statements)

References 12 publications

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“…Considering cooperative communication, the device model considered in this paper consists of a source (S) that transmits its information to destination (D) that collaborates with N relays as shown in Figure 1 [6]. The standard model from source to destination uses direct transmission, i.e., whenever the receiver receives the signal, it has to decode the information only based on the direct signal strength.…”

Section: System Designmentioning

confidence: 99%

“…As per the system model it is double hop, meaning that there is not any inter-relay contact and the source identifies all the relays channel information using the feedback loop. It is considered that the source transmission power is 𝐸 𝑠 and 𝐸 𝑟𝑖 is the ith relay's transmission power [6,12,21]. At this instant let 'Xi' be the information transmitted by the source and 'Yo' be the received signal at the destination and denoted as:…”

Section: System Designmentioning

confidence: 99%

“…The multi carrier concept in OFDM systems has multiplicity of carrier signals resulting in carrier interference. This multiple CFOs are mainly due to the difference in the oscillator frequencies of transmitter and receiver and also by the addition of noise in the channels [6]. Consider the signal to be transmitted is x(t) and is multiplied by the carrier oscillator frequency component fc1, that is x(t) * e j2πfc1t .…”

Section: Introductionmentioning

confidence: 99%

“…Consider the transmitted signal to be x [n] and if the received signal y[n] is obtained after certain time delay as x[n-Tτ], then this time offset is considered to be a synchronization error. The noise added in the channel will also influence the synchronization problem [6][7].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Estimating Time and Frequency under Imperfect Channel Knowledge using ECM and SAGE Algorithms in Multi-relay Cooperative Networks

CHENGUTTUVAN,

KARUPPIAH,

2023

Preprint

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The OFDM system is popular due to its broadband capabilities, but because it employs the multi-carrier concept, synchronization issues may arise. These errors are caused by the incompatibility of the transmitted and received signals. The performance of multiple relay cooperative systems is assessed in this study using receiver compensation and estimation of Multicarrier Frequency Offsets (MCFO) and Multiple Timing Offsets (MTO). To demonstrate improved bit error rate (BER) performance, MCFOs and MTOs should be treated with less computational complexity. At the receiver end, the Maximum Likelihood (ML) approach is used to decode data and estimate offsets. The ML approach estimates using the ECM and SAGE algorithms. In terms of BER and SNR after estimation, the SAGE algorithm outperforms the ECM approach. A performance analysis of the estimated time and carrier frequency offsets was performed using the ECM and SAGE algorithms. Furthermore, the statistical percentage difference demonstrates that the maximum probability strategy for compensating the CFO and TO is effective.

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Section: System Designmentioning

confidence: 99%

Section: System Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Estimating Time and Frequency under Imperfect Channel Knowledge using ECM and SAGE Algorithms in Multi-relay Cooperative Networks

CHENGUTTUVAN,

KARUPPIAH,

2023

Preprint

View full text Add to dashboard Cite

show abstract

“…As per the system model it is double hop, meaning that there is not any inter-relay contact and the source identifies all the relays channel information using the feedback loop. It is considered that the source transmission power is 𝐸 𝑠 and 𝐸 𝑟𝑖 is the ith relay's transmission power (Sureshkumar K, et al, 2015). At this instant let 'Xi' be the information transmitted by the source and 'Yo' be the received signal at the destination and denoted as:…”

Section: Structure Modelmentioning

confidence: 99%

An Efficient Relay Selection Method Based on ANN Channel Estimation Technique for Amplify and Forward Relay in Cooperative Networks

Ezhilazhagan¹,

Ramakrishnan²

2021

DSA

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Owing to high degree of flexibility, Artificial Neural Networks (ANN) can be used to model nonlinear channel estimation phenomenon. An ANN-based channel estimation technique and relay selection scheme was proposed as an alternate to Fuzzy Logic Controller (FLC) based channel estimation system. ANN's learning property is fully exploited to decipher the deteriorated symbols through extreme faded networks. Similar to FLC channel estimation techniques, this technique is found to be more effective in increasing bandwidth. Simulated results for Multi-input Multi-output (MIMO) of 2×2 and 4×4 using Additive White Gaussian Noise (AWGN) and Rayleigh channel in terms of quantity (Mbps) compared with Signal to Noise Ratio (SNR) over a choice of 0 to 30 dB. This illustrates the effectiveness of the knowledge proficiency of ANNs is 92.19% of AWGN and 94.62% of Rayleigh whereas for FLC is 70.34% of AWGN and 75.51% of Rayleigh channel.

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Timing and Carrier Synchronization by Offset Estimation for Cooperative Relay Networks

Cited by 2 publications

References 12 publications

Estimating Time and Frequency under Imperfect Channel Knowledge using ECM and SAGE Algorithms in Multi-relay Cooperative Networks

Estimating Time and Frequency under Imperfect Channel Knowledge using ECM and SAGE Algorithms in Multi-relay Cooperative Networks

An Efficient Relay Selection Method Based on ANN Channel Estimation Technique for Amplify and Forward Relay in Cooperative Networks

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