Low Power Pilot Aided Sub-sample Based Channel Estimation for Mmwave Cellular Systems

Ullah, Mahbuba Sheba; Tewfik, A.H.

doi:10.1109/icassp.2019.8683232

Cited by 2 publications

(4 citation statements)

References 20 publications

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“…similar to the definition in (18)). We construct another permutation matrix M v n,r2 that has the same circular shifts n but a different root index r 2 .…”

Section: A Subsequence Propertiesmentioning

confidence: 94%

“…, is a permutation matrix defined by the permutation vector v 0,γr 1 ,r 2 . The permutation vector v 0,γr 1 ,r 2 , is one added to the vector of frequency indices for root index γ r1,r2 , and circular shifts 0 [k] = k − 1, as defined in (18). This permutation matrix is independent of n.…”

Section: A Subsequence Propertiesmentioning

confidence: 99%

“…The concept of decoupling unknown waveforms using systematic pilot design can be expanded for a channel model with frequency offsets. Since our sub-Nyquist decoupling solution operates on D-decimated signals, the frequency offset magnifies by a factor of D. The effect of this is equivalent to adding D times the frequency offset vector to the vector of frequency indices v n i ,r for i = 1, • • • , d in (18). In a wireless system, it is possible to restrict the frequency error performance of a device and design pilot bandwidth, K pilots with widely spaces frequency indices in v n,r and the set of root indices to correct the frequency offsets prior to AoA estimation.…”

Section: F Future Workmentioning

confidence: 99%

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Leveraging Waveform Structure to Develop a Power Scalable AoA Estimation

Ullah¹,

Tewfik

Heath

2021

IEEE Open J. Commun. Soc.

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In a mmWave mobile device, power consumption resulting from the high sampling rate is a primary concern for angle of arrival (AoA) estimation solutions. In this paper, we provide a power scalable solution for AoA estimation with structured waveforms in a narrowband channel. We design a set of pilot sequences that maintain orthogonality in sub-Nyquist sampling domains. We leverage the sequences' structure to develop a variable rate decoupling algorithm to separate multiple sources at the receiver using partial knowledge about the pilots. The decoupling enables a feasible, low-complexity AoA estimation for digital architectures with flexible antenna array design. In this paper, we provide one such AoA estimation solution named ADELA for a linear antenna array design. Simulation results show that AoA estimation performance reaches the Cramer-Rao-Bounds (CRBs) for a range of SNRs. The proposed estimator with subsampling factors of 8 or less outperforms two examples of full rate virtual array AoA estimators for unknown waveforms: 2-level nested array and coprime filter bank estimators. Compared to these two examples of virtual array, our method offers an 8 times lower ADC power consumption, and a significantly lower computational complexity.

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“…similar to the definition in (18)). We construct another permutation matrix M v n,r2 that has the same circular shifts n but a different root index r 2 .…”

Section: A Subsequence Propertiesmentioning

confidence: 94%

Section: A Subsequence Propertiesmentioning

confidence: 99%

Section: F Future Workmentioning

confidence: 99%

See 1 more Smart Citation

Leveraging Waveform Structure to Develop a Power Scalable AoA Estimation

Ullah¹,

Tewfik

Heath

2021

IEEE Open J. Commun. Soc.

Self Cite

View full text Add to dashboard Cite

show abstract

“…We characterize subsequence properties of a ZC sequence of length L that is an integer multiple of the square of the maximum decimation factor, D, i.e., L = N D 2 , {N, D} ∈ Z + [36], [37]. Let u ∈ Z + be relatively prime to L. Then the ZC sequence with root u and length L denoted by ZC(u, L) is…”

Section: A Subsequence Propertiesmentioning

confidence: 99%

Power Scalable Angle of Arrival Estimation Using Pilot Design With Orthogonal Subsequences

Ullah

Tewfik

Heath

2021

IEEE Open J. Commun. Soc.

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Energy efficient array processing is critical to implement feasible solutions for directional communication in a mmWave channel. MmWave channels are highly susceptible to blockage and require frequent angle of arrival (AoA) estimation. An AoA estimation solutions with a fully digital architecture offers a low latency, high performance and flexible solution suitable for the stringent requirements of 5G. However, the large number of high speed converters in a digital receiver are the dominant power consuming elements. Alternative analog or hybrid architectures use fewer high speed converters, but require sweeping measurements to estimate AoAs over the angular space, and thus adds latency to the estimation process. In this paper, we present a variable rate sub-Nyquist decoupling solution that leverages pilot design. The pilot's subsequence properties allow decoupling the source waveforms at fractions of the Nyquist rate. We leverage this concept to scale power consumption by the converters. We preprocess the received signals at the antenna array with the variable rate sub-Nyquist decoupling algorithm and use a few well known digital estimators for AoA estimation including DEML, KR-MUSIC based two level nested array and coprime filter bank. In addition to scalable power consumption, our research indicates some other benefits of the decoupling, including reduced complexity algorithm implementation and improved performance estimation for the non maximum likelihood estimators.

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Low Power Pilot Aided Sub-sample Based Channel Estimation for Mmwave Cellular Systems

Cited by 2 publications

References 20 publications

Leveraging Waveform Structure to Develop a Power Scalable AoA Estimation

Leveraging Waveform Structure to Develop a Power Scalable AoA Estimation

Power Scalable Angle of Arrival Estimation Using Pilot Design With Orthogonal Subsequences

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