An Adaptive Cell Search and Integral Frequency Offset Estimation in Mobile WiMAX

Choi, Jieun; Park, Minjae; Cha, Suhyun; Lee, Hwang Soo

doi:10.1109/vetecs.2009.5073374

Cited by 3 publications

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Integer frequency offset estimation and preamble identification in WiMAX systems

Morelli

Marchetti

Moretti

2014

2014 IEEE International Conference on Communications (ICC)

View full text Add to dashboard Cite

In this work we investigate the joint estimation of the integer carrier frequency offset (CFO) and the preamble index in a multicarrier system compliant with the WiMAX specifications. Since the exact ML solution is prohibitively complex in its general formulation, a suboptimal algorithm is developed to provide a reasonable trade-off between estimation accuracy and processing load. Compared to existing alternatives, the resulting scheme exhibits improved accuracy and reduced sensitivity to residual timing errors

show abstract

Integer frequency offset estimation and preamble identification in WiMAX systems

Morelli

Marchetti

Moretti

2014

2014 IEEE International Conference on Communications (ICC)

View full text Add to dashboard Cite

show abstract

Synchronization issues in relay-aided cooperative MIMO networks

Won

Hanzo

2014

IEEE Wireless Commun.

View full text Add to dashboard Cite

Maximum Likelihood Frequency Estimation and Preamble Identification in OFDMA-based WiMAX Systems

Morelli

Marchetti

Moretti

2014

IEEE Trans. Wireless Commun.

View full text Add to dashboard Cite

In multi-cellular WiMAX systems based on orthogonal frequency-division multiple-access (OFDMA), the training preamble is chosen from a set of known sequences so as to univocally identify the transmitting base station. Therefore, in addition to timing and frequency synchronization, preamble index identification is another fundamental task that a mobile terminal must successfully complete before establishing a communication link with the base station. In this work we investigate the joint maximum likelihood (ML) estimation of the carrier frequency offset (CFO) and preamble index in a multicarrier system compliant with the WiMAX specifications, and derive a novel expression of the relevant Cramer-Rao bound (CRB). Since the exact ML solution is prohibitively complex in its general formulation, suboptimal algorithms are developed which can provide a reasonable trade-off between estimation accuracy and processing load. Specifically, we show that the fractional CFO can be recovered by combining the ML estimator with an existing algorithm that attains the CRB in all practical scenarios. The integral CFO and preamble index are subsequently retrieved by a suitable approximation of their joint ML estimator. Compared to existing alternatives, the resulting scheme exhibits improved accuracy and reduced sensitivity to residual timing errors. The price for these advantages is a certain increase of the system complexity

show abstract

An Adaptive Cell Search and Integral Frequency Offset Estimation in Mobile WiMAX

Cited by 3 publications

References 9 publications

Integer frequency offset estimation and preamble identification in WiMAX systems

Integer frequency offset estimation and preamble identification in WiMAX systems

Synchronization issues in relay-aided cooperative MIMO networks

Maximum Likelihood Frequency Estimation and Preamble Identification in OFDMA-based WiMAX Systems

Contact Info

Product

Resources

About