Fast Uplink Synchronization in LTE-Like Systems

Hyder, Mashud; Mahata, Kaushik

doi:10.1109/lcomm.2017.2732398

Cited by 3 publications

(4 citation statements)

References 7 publications

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“…• Successive interference cancellation (SIC) methods e.g., [4]- [7]; • Maximum likelihood methods e.g., [8];…”

Section: B Existing Methodsmentioning

confidence: 99%

“…A hybrid algorithm for joint CFO estimation and user detection is proposed in [20]. Unfortunately, it's user detection performance is very sensitive to channel SNR variation (see [7,Figure 2]). The algorithm in [11] works well when the CFO is below 50% of the PRACH subcarrier spacing.…”

Section: Challenges In Ius Problemmentioning

confidence: 99%

“…Next we propose an algorithm to estimate d . This algorithm is motivated by our previous experience in [7], [11], where we found that a correlator type propagation delay estimator is often excellent for practical purposes. In fact in [7], [11] we found that the correlator type methods perform better than rather sophisticated and complex estimation methods.…”

Section: Estimation Of User Attributesmentioning

confidence: 99%

“…The first one is the MS-HMUD algorithm proposed in [20], the second one is the SIC algorithm in [7], and the third one is the Block-SIC method of [11]. In Figure 12a we plot the miss-detection rates of the proposed algorithm, SIC method [7], Block-SIC [11], and MS-HMUD [20] as functions of SNR min . The In Figure 12b we plot the miss-detection of different methods as functions of CFO for different numbers of users.…”

Section: Numerical Case Studiesmentioning

confidence: 99%

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A New Perspective on the Initial Uplink Synchronization Problem

Mahata

Hyder

2020

IEEE Access

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We explore the frequency domain properties of the signal model associated with the initial uplink synchronization (IUS) problem, and provide some new insights. We show that the adverse effects of carrier frequency offset (CFO) are confined in a small region in the frequency domain. We present a new code design approach that avoids the above mentioned region to cancel the adverse effects of CFO. In this design the codes of different users occupy mutually disjoint intervals on the frequency axis. In this way we minimize the interference between different codes, and thereby, allow considerably large number of simultaneous IUS users in the system. For the proposed codes, we design a simple energy detector. This detector relies on classical results from statistical detection theory. We also propose a simple timing offset estimation technique, which requires us to locate the maximum in a periodogram. The resulting detectionestimation algorithms are simple, non-iterative, fast and accurate. The utility of the proposed design is illustrated using numerical simulation results.

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“…• Successive interference cancellation (SIC) methods e.g., [4]- [7]; • Maximum likelihood methods e.g., [8];…”

Section: B Existing Methodsmentioning

confidence: 99%