arXiv subjects

Jindiao Huang

Publications and source records attributed to Jindiao Huang.

4 recordsLinked to original sources

arXiv2026

RRAM circuit-enabled nonlinear precoding and bit precision analysis

The rising number of users and antennas imposes exponentially growing computational loads on future communication systems. Yet conventional processors are facing a bottleneck for their nature of memory-computing separation. In-memory computing (IMC) emerges as a promising solution leveraging its intrinsic high parallelism. This work proposes an IMC architecture that employs resistive random access memory (RRAM) to reduce the computational complexity of the nonlinear Tomlinson-Harashima precoding (THP) to a linear scale. We present a computation-constraint principle for designing RRAM circuits to perform nonlinear matrix operations and construct an LQ decomposition RRAM circuit. Since the conductance of memristor is generally quantized, we perform the bit precision analysis and derive the lower bound of the Signal-to-Interference-plus-Noise Ratio (SINR) and achievable rate. Our analysis indicates that at a high Signal-to-Noise Ratio (SNR) or with a large number of antennas, each 1-bit precision increase yields 6 dB SINR gain and linear rate growth. For practical implementation, we derive the optimal bit precision to sustain SINR performance under varying system configurations. Simulation demonstrates the feasibility and accuracy of the RRAM-based circuit and our theoretical analysis. Our work proves that RRAM-based IMC holds significant potential for high-complexity nonlinear precoding, addressing the escalating computational demands for future communications.

eess.SP↗

arXiv2025

Wideband channel sensing with holographic interference surfaces

The Holographic Interference Surface (HIS) opens up a new prospect for building a more cost-effective wireless communication architecture by performing Radio Frequency (RF) domain signal processing. In this paper, we establish a wideband channel sensing architecture for electromagnetic wave reception and channel estimation based on the principle of holographic interference theory. Dute to the nonlinear structure of holograms, interferential fringes composed of wideband RF signals exhibit severe self-interference effects in the time-frequency domain, which are inherently resistant to the classical signal processing tools. To overcome the self-interference, we propose a holographic channel recovery method, which analyzes the time-domain variation of holograms from a geometrical perspective and constructs an inverse mapping from wideband holograms to object waves. Based on the Wirtinger partial derivative and Armijo condition, we then develop a wideband hologram-based maximum likelihood (WH-ML) estimation method for estimating the channel state information (CSI) from holograms. We also propose a geometric rotation-based object wave sensing (GROWS) algorithm to address the complicated computation of ML estimation. Furthermore, we derive the Cramér-Rao lower bound (CRLB) for investigating the achievable performance of wideband holographic channel estimation. Simulation results show that under the wideband channel sensing architecture, our proposed algorithm can accurately estimate the CSI in wideband scenarios.

eess.SP↗

arXiv2025

Holographic interference surface: A proof of concept based on the principle of interferometry

Revolutionizing communication architectures to achieve a balance between enhanced performance and improved efficiency is becoming increasingly critical for wireless communications as the era of ultra-large-scale arrays approaches. In traditional communication architectures, radio frequency (RF) signals are typically converted to baseband for subsequent processing through operations such as filtering, analog-to-digital conversion and down-conversion, all of which depend on expensive and power-intensive RF chains. The increased hardware complexity and escalated power consumption resulting from this dependency significantly limit the practical deployment of ultra-large-scale arrays. To address these limitations, we propose a holographic communication system based on the principle of interferometry, designated as holographic interference surfaces (HIS). Utilizing the interference effect of electromagnetic waves, HIS estimates the channel state information (CSI) by dealing solely with power information, which enables the replacement of RF chains with power sensors and completes the signal processing in radio frequency. As proof-of-concept demonstrations, we implemented a prototype system based on principles of holographic interference. Experimental results align well with theoretical predictions, confirming the practical viability and effectiveness of the proposed HIS. This work provides a new paradigm for building a more cost-effective wireless communication architecture.

eess.SP↗

arXiv2023

Channel sensing for holographic interference surfaces based on the principle of interferometry

The Holographic Interference Surface (HIS) provides a new paradigm for building a more cost-effective wireless communication architecture. In this paper, we derive the principles of holographic interference theory for electromagnetic wave reception and transmission, whereby the optical holography is extended to communication holography and a channel sensing architecture for holographic interference surfaces is established. Unlike the traditional pilot-based channel estimation approaches, the proposed architecture circumvents the complicated processes like filtering, analog to digital conversion (ADC), down conversion. Instead, it relies on interfering the object waves with a pre-designed reference wave, and therefore reduces the hardware complexity and requires less time-frequency resources for channel estimation. To address the self-interference problem in the holographic recording process, we propose a phase shifting-based interference suppression (PSIS) method according to the structural characteristics of communication hologram and interference composition. We then propose a Prony-based multi-user channel segmentation (PMCS) algorithm to acquire the channel state information (CSI). Our theoretical analysis shows that the estimation error of the PMCS algorithm converges to zero when the number of HIS units is large enough. Simulation results show that under the holographic architecture, our proposed algorithm can accurately estimate the CSI in multi-user scenarios.

eess.SP↗