| Internet-Draft | ISAC-Utilization | October 2025 |
| Jadoon & Robitzsch | Expires 20 April 2026 | [Page] |
This document defines a YANG data model that reports a single total utilization score for Integrated Sensing and Communication (ISAC) systems. Optional elements provide a per-parameter breakdown and per-measurement reporting.¶
This Internet-Draft is submitted in full conformance with the provisions of BCP 78 and BCP 79.¶
Internet-Drafts are working documents of the Internet Engineering Task Force (IETF). Note that other groups may also distribute working documents as Internet-Drafts. The list of current Internet-Drafts is at https://datatracker.ietf.org/drafts/current/.¶
Internet-Drafts are draft documents valid for a maximum of six months and may be updated, replaced, or obsoleted by other documents at any time. It is inappropriate to use Internet-Drafts as reference material or to cite them other than as "work in progress."¶
This Internet-Draft will expire on 20 April 2026.¶
Copyright (c) 2025 IETF Trust and the persons identified as the document authors. All rights reserved.¶
This document is subject to BCP 78 and the IETF Trust's Legal Provisions Relating to IETF Documents (https://trustee.ietf.org/license-info) in effect on the date of publication of this document. Please review these documents carefully, as they describe your rights and restrictions with respect to this document. Code Components extracted from this document must include Revised BSD License text as described in Section 4.e of the Trust Legal Provisions and are provided without warranty as described in the Revised BSD License.¶
ISAC introduces a paradigm where network nodes perform both communication and sensing tasks. Several use cases and their requirements for ISAC have been defined in 3GPP [TR22.837] and ETSI [GR-ISC001]. A sensing task involves measurements of parameters such as Doppler, angle of arrival (AoA), radar cross section (RCS), micro-doppler, and range/delay [Jadoon2025], each consuming varying amounts of system resources such as memory, energy, and storage.¶
To enable energy-efficient orchestration, it is important to measure and report the utilization impact of sensing measurements for a sensing task. This draft proposes a YANG data model that allows ISAC-enabled devices to report a utilization score (US) per sensing task, computed from weighted metrics such as CPU usage, memory, energy draw, storage load, and latency.¶
The model is intended for systems that support ISAC and want to participate in energy-aware operations.¶
module: ietf-isac-utilization
+--ro sensing-utilization
+--ro total-utilization-score uint8
+--ro timestamp? yang:date-and-time
+--ro window? string
+--ro parameters? if-feature component-breakdown
| +--ro compute-score? decimal64
| +--ro memory-score? decimal64
| +--ro energy-score? decimal64
| +--ro storage-score? decimal64
| +--ro latency-score? decimal64
+--ro function-score* [function] if-feature per-measurement
+--ro function sensing-function
+--ro total-utilization-score? uint8
+--ro timestamp? yang:date-and-time
+--ro window? string
+--ro parameters? if-feature component-breakdown
+--ro compute-score? decimal64
+--ro memory-score? decimal64
+--ro energy-score? decimal64
+--ro storage-score? decimal64
+--ro latency-score? decimal64
¶
```yang module ietf-isac-utilization { yang-version 1.1; namespace "urn:ietf:params:xml:ns:yang:ietf-isac-utilization"; prefix isac-util;¶
import ietf-yang-types { prefix yang; reference "RFC 6991: Common YANG Data Types"; }¶
organization "InterDigital Europe"; contact "Muhammad Awais Jadoon muhammad.awaisjadoon@interdigital.com"; description "Reports a mandatory total utilization score for ISAC systems. Optionally exposes a per-parameter breakdown and per-measurement scores.";¶
revision "2025-10-17" { description "Making per-parameter breakdown and per-measurement reporting; add timestamp/window."; }¶
feature component-breakdown { description "Expose optional per-parameter components (compute, memory, energy, storage, latency) that contribute to the total score."; }¶
feature per-measurement { description "Expose optional per-measurement (e.g., delay, Doppler) scores."; }¶
typedef percent { type decimal64 { fraction-digits 2; } units "%"; description "Percentage 0..100 (not range-restricted here)."; }¶
typedef duration-string { type string; description "Human-readable or ISO-8601 duration (e.g., PT60S)."; }¶
container sensing-utilization { config false; description "Sensing utilization score.";¶
leaf total-utilization-score {
type uint8;
mandatory true;
description "Composite utilization score (0..100).";
}
leaf timestamp {
type yang:date-and-time;
description "Time when the utilization score was computed.";
}
leaf window {
type duration-string;
description "Aggregation window (e.g., PT60S).";
}
container parameters {
if-feature component-breakdown;
description "Optional per-parameter components.";
leaf compute-score { type percent; }
leaf memory-score { type percent; }
leaf energy-score { type percent; }
leaf storage-score { type percent; }
leaf latency-score { type percent; }
}
list function-score {
if-feature per-measurement;
key "function";
description "Optional per-measurement utilization scores.";
leaf function {
type enumeration {
enum delay;
enum doppler;
enum micro-doppler;
enum aoa;
enum rcs;
}
description "Type of sensing measurement.";
}
leaf total-utilization-score { type uint8; description "Per-measurement total (0..100)."; }
leaf timestamp { type yang:date-and-time; }
leaf window { type duration-string; }
container parameters {
if-feature component-breakdown;
leaf compute-score { type percent; }
leaf memory-score { type percent; }
leaf energy-score { type percent; }
leaf storage-score { type percent; }
leaf latency-score { type percent; }
}
} } } ```
¶
This work has received funding from the Smart Networks and Services Joint Undertaking (SNS JU) under the European Union's Horizon Europe research and innovation programme under Grant Agreement No 101192521 (MultiX). The following people have contributed to this draft: Sebastian Robitzsch¶