Selection Combining for Multi-Antenna Communication with Low-Resolution ADCs

Gayan, Samiru; Senanayake, Rajitha; İnaltekin, Hazer; Evans, Jamie

doi:10.1109/isit45174.2021.9518242

Cited by 2 publications

(4 citation statements)

References 12 publications

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“…Our analytical results in Theorems 4-5 along with the numerical results presented in Section VII establish a fundamental asymptotic reliability characterization for low-resolution ADC based wireless systems with differential modulation in the high SNR regime. These results do not appear in our previous work [49], nor do they exist in any other previous paper in the literature.…”

Section: Key Contributionscontrasting

confidence: 84%

Section: Key Contributionsmentioning

confidence: 99%

“…The material of this paper has been published in part in [49], where the MEP analysis is focused only on the D-QPSK modulation and the paper did not include the proofs for the key theorems. The present paper expands upon the results presented in [49], provides full details of the proofs for the main theorems and also provides a rigorous error probability performance and DVO analysis under D-MPSK modulation with n-bit phase quantization. Our analytical results in Theorems 4-5 along with the numerical results presented in Section VII establish a fundamental asymptotic reliability characterization for low-resolution ADC based wireless systems with differential modulation in the high SNR regime.…”

Section: Key Contributionsmentioning

confidence: 99%

“…Our receiver architecture is based on a low-resolution ADC that quantizes the phase of the channel output [52], [53]. This structure is motivated by the fact that the information is encoded in the phase of the transmitted symbols in our setting.…”

Section: Receiver Architecturementioning

confidence: 99%

See 3 more Smart Citations

The Cost of Noncoherence: Avoiding Channel Estimation Through Differential Encoding in Phase Quantized Systems

Gayan,

Inaltekin,

Senanayake

et al. 2023

IEEE Open J. Commun. Soc.

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This paper proposes a novel approach that utilizes differential encoding to overcome the channel estimation problem in communication systems with low-resolution quantization receivers. For differentially encoded data, we derive the maximum likelihood detection rule for the canonical block-2 detectors, employing just two consecutive quantized observations at the channel output and without any receiver-side channel state information. We establish the optimality of this maximum likelihood detection rule within the class of block-L detectors, where L ≥ 3, under the condition that n = log 2 M , with n and M denoting the number of quantization bits and input alphabet size, respectively. The derived detector has a simple and easily implementable structure, comparing the quantization region indices of consecutive observations to determine the transmitted message index. By leveraging the structure of the derived optimum detector, we obtain the expression for the message error probability in Rayleigh fading wireless channels. Through asymptotic analysis in the high signal-to-noise ratio regime, we reveal a crucial finding that achieving the same diversity order as infinite bit quantization with full channel knowledge requires an additional two bits at the quantizer, in addition to the minimum requirement of log 2 M bits. One bit compensates for the low-resolution effect, while the other addresses the lack of channel knowledge. Finally, we conduct an extensive simulation study to demonstrate the performance of the optimum detectors and quantify the performance loss resulting from the absence of channel knowledge at the receiver.

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Section: Key Contributionscontrasting

confidence: 84%

Section: Key Contributionsmentioning

confidence: 99%

Section: Key Contributionsmentioning

confidence: 99%

Section: Receiver Architecturementioning

confidence: 99%

See 2 more Smart Citations

The Cost of Noncoherence: Avoiding Channel Estimation Through Differential Encoding in Phase Quantized Systems

Gayan,

Inaltekin,

Senanayake

et al. 2023

IEEE Open J. Commun. Soc.

Self Cite

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Reliability Characterization for SIMO Communication Systems With Low-Resolution Phase Quantization Under Rayleigh Fading

Gayan

Senanayake

İnaltekin

et al. 2021

IEEE Open J. Commun. Soc.

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This paper investigates the communication reliability for single-input-multiple-output wireless systems with low-resolution phase quantizers. First, the maximum-likelihood detector with n-bit phase quantization is derived when there are N antennas at the receiver. Then, three low-complexity antenna selection strategies for data detection are proposed and their symbol error probability performance is characterized. It is shown that having 3 or more bits is sufficient to attain the full diversity order N , achievable with infinite-bit quantizers, for quadrature phase shift keying modulation under Rayleigh fading. In particular, it is established that the proposed low-complexity max-distance and max-norm antenna selection strategies perform the same as the maximum-likelihood detector in terms of the asymptotic system reliability for n ≥ 3. On the other hand, the diversity order decreases dramatically from N to N 2 when n is equal to 2, as illustrated by our numerical results and proven for the case of N = 2. An extensive numerical and simulation study is performed to illustrate the accuracy of the derived results and asymptotic system reliability performance as well as verifying our hypotheses in the high signal-to-noise ratio regime.

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Selection Combining for Multi-Antenna Communication with Low-Resolution ADCs

Cited by 2 publications

References 12 publications

The Cost of Noncoherence: Avoiding Channel Estimation Through Differential Encoding in Phase Quantized Systems

The Cost of Noncoherence: Avoiding Channel Estimation Through Differential Encoding in Phase Quantized Systems

Reliability Characterization for SIMO Communication Systems With Low-Resolution Phase Quantization Under Rayleigh Fading

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