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INCHNET works to design and validate new PHY transmission schemes, with a focus on coding for short packet communications, on ultra-reliable and low latency and massive machine-type communications, on multi-user communications, as well as on the interplay between the PHY and MAC layers.  The project aims to develop innovative and low-complexity transmission schemes for new use cases and services. Moreover INCHNET works to foster green IoT through very low power coding schemes and to explore AI-based solutions for code/decoding design.

INCHNET is part of Spoke 5 – Industrial and Digital Transition Networks

The activities so far completed include:
  • a state-of-the-art review of URLLC and mMTC transmission schemes;
  • the definition of a set of use cases of interest
  • the consolidation of requirements;
  • the identification of suitable channel models.
Technical activities have also started. The main ones carried out include:
  • the development of grant-free mMTC schemes from non-orthogonal multiple access ones, based on random codebook selection and codebook collision detection and resolution;
  • the development of a new framework to compare grant-free schemes, based on resource diversity and successive interference cancellation, in terms of energy versus spectral efficiency;
  • initial work on the design and analysis of low-complexity coding scheme: concatenation of CRC and convolutional codes, distance spectrum evaluation, coding gain estimation with respect to the convolutional code alone, estimation of the codeword error rate versus undetected error rate tradeoff.
The key outcomes thus far encompass grant-free MTC solutions for massive IoT and low-complexity coding schemes for low latency applications. simplified coding strategies. These findings are of great importance to stakeholders operating within the IoT and communications domain, spanning mission-critical, industrial, monitoring, and vehicle-to-infrastructures contexts. For example, suppose a smart manufacturing facility is deploying a massive number of IoT devices for monitoring various sensors and collecting real-time data on machinery performance. In such an environment, the grant-free mMTC schemes developed would allow for efficient communication and data transmission from thousands of sensors without the need for individual access requests or prior coordination. The streamlined communication with low latency encoding schemes ensures that critical data is collected and transmitted with minimal delay, enhancing the overall efficiency and reliability of the manufacturing process.
R. Schiavone, R. Garello and G. Liva "Performance Improvement of Space Missions Using Convolutional Codes by CRC-Aided List Viterbi Algorithms," in IEEE Access, vol. 11, pp. 55925-55937, 2023, doi: 10.1109/ACCESS.2023.3283473. This paper studies the convolutional and CRC codes for short packet communications. Comparisons with turbo codes and low-density parity check codes highlight the effectiveness of the proposed solution, due to the reduced encoder complexity and excellent error rate performance. V. Tralli, E. Paolini "IRSA-based Unsourced Random Access over Gaussian Channel," in Proc. 2023 International Symposium on Topics in Coding, Brest, France, Sep. 2023. (Invited paper.). This paper proposes a new framework for analysis of a class of grant-free access schemes in terms of their tradeoff between energy efficiency and spectral efficiency. M.U. Khan, E. Testi, E. Paolini, M. Chiani “Preamble Detection in Asynchronous Random Access using Deep Learning,” to appear in IEEE Wireless Communications Letters. This paper addresses the problem of detecting packets in asynchronous grant-free uplink systems, proposing an innovative and effective solution based on deep learning.
  1. Publications
    • Expected: 9 papers submitted to journals or international conferences through the whole project. In particular, 6 papers from a single partner and 3 papers in cooperation between partners.
    • Accomplished: Three papers accepted from single partners and 0 papers in cooperation between partners.
    • Readiness level: 3/(6*10/36)=1.8 and 0.0.
  2. Talks
    • Expected: At least 9 talks (either invited or contributed) given in the framework of conference technical sessions or special sessions, workshops, seminars, RESTART events, or other events.
    • Accomplished: 1 talk given at the Huawei JIC and RESTART Workshop, Sasso Marconi, March 6, 2023, and 1 invited talk given, on invitation, in a special session of the international conference ISTC 2023.
    • Readiness level: 0.8.
  3. Workshops
    • Expected: One international workshop proposal submitted to an IEEE conference, such as ICC, GLOBECOM, WCNC, VTC, etc., through the project.
    • Accomplished: 0 proposals submitted.
    • Readiness level: 0.0.
  4. Meetings
    • Expected: 30 project meetings.
    • Accomplished: 8 project meetings.
    • Readiness level: 8/(30*10/36)=0.96.
  5. Demo
    • Expected: The project aims at 1 software demo to demonstrate some of the developed transmission and reception schemes. There is a dedicated task for this, task T4.1, and a dedicated task has been foreseen in the cascade call.
    • Accomplished: Task T4.1 is not yet active, although some software (to be incorporated in the demo) has been already developed.
    • Readiness level: 0.0.

Collaboration proposals:
For any proposal of collaboration within the project please contact roberto.garello at