SearcharxivSearch

arXiv subjects

Pantea Nadimi Goki

Publications and source records attributed to Pantea Nadimi Goki.

4 recordsLinked to original sources

Performance Optimization of Short Reach Optical Interconnects based on Direct Detection

Short-reach optical interconnects are evolving toward data rates beyond 400 Gb/s per lane, driven by the bandwidth and energy-efficiency requirements of AI-enabled datacenter networks. At these operating speeds, channel impairments, device nonlinearities, and hardware constraints limit the effectiveness of conventional transceiver design and digital signal processing (DSP). This paper presents a unified framework for the optimization of direct-detection optical interconnects, encompassing digital surrogate modeling, receiver-side DSP optimization, and end-to-end (E2E) transceiver learning. The proposed formulation provides a common perspective for model-based and machine-learning-based approaches, including linear and nonlinear equalization, lookup tables, decision trees, neural-network receivers, and E2E optimization. Their performance is discussed together with computational complexity and hardware implementation aspects, highlighting the associated trade-offs. We show, through simulations and experimental validations, that for a 40~Gb/s 10~km link, decision trees can outperform by 0.5--1~dB conventional linear equalization, with negligible hardware requirements. Moreover, we show that an E2E technique based on transformers can provide a gain up to 6~dB, highlighting the potential of joint transceiver optimization to improve the performance of next-generation short-reach optical links.

physics.optics

Hierarchical Distribution Matcher Design for Probabilistic Constellation Shaping Based on a Novel Semi-Analytical Optimization Approach

A novel design procedure for practical hierarchical distribution matchers (HiDMs) in probabilistically shaped constellation systems is presented. The proposed approach enables the determination of optimal parameters for any target distribution matcher rate. Specifically, lower bounds on energy loss, rate loss, and memory requirements are analytically estimated for HiDM architectures approximating the Maxwell Boltzmann (MB) distribution. A semi analytical optimization framework is employed to jointly optimize rate and energy loss, allowing the selection of the number of hierarchical layers, memory size, and block length required to optimize channel capacity. The accuracy of the proposed model is validated through probabilistic amplitude shaping of 16QAM (PAS 16QAM), showing good agreement between analytical predictions and simulated results. The proposed analytical tool facilitates the design of HiDM structures that are compatible with practical hardware and implementation constraints, such as those imposed by state-of-the-art application-specific integrated circuits (ASICs) and field-programmable gate arrays (FPGAs). Furthermore, the performance of the optimized HiDM structure, incorporating layer selection based on lower-bound energy loss, is evaluated over the AWGN channel in terms of normalized generalized mutual information (NGMI) as a function of the optical signal-to-noise ratio (OSNR). At a net data rate of 200 Gbps with 25% forward error correction (FEC) overhead, the proposed scheme achieves a shaping gain improvement of 2.8% compared to previously reported solutions.

eess.SP

Optical identification using physical unclonable functions

In this work, the concept of optical identification (OI) based on physical unclonable functions is introduced for the first time, to our knowledge, in optical communication systems and networks. The OI assigns an optical fingerprint and the corresponding digital representation to each sub-system of the network and estimates its reliability in different measures. We highlight the large potential applications of OI as a physical layer approach for security, identification, authentication, and monitoring purposes. To identify most of the sub-systems of a network, we propose to use the Rayleigh backscattering pattern, which is an optical physical unclonable function and allows to achieve OI with a simple procedure and without additional devices. The applications of OI to fiber and path identification in a network and to the authentication of users in a quantum key distribution system are described.

eess.SP