{
  "annotation_id": "bcfcb1da-ee64-4feb-8e77-add9a3b3f049",
  "date_created": "2026-02-17T05:53:15.098000Z",
  "date_modified": "2026-02-17T05:53:15.098000Z",
  "file_hash": "475732707de555a41a19f18be38992c70abce47a5a3de0fd41d09213724e136f",
  "private": false,
  "record": {
    "abstract": "This paper investigates the Pareto boundary performance of a joint communication and sensing (JCAS) system that addresses both sensing and communication functions at the same time. In this scenario, a multiple-antenna base station (BS) transmits information to multiple single-antenna communication users while concurrently estimating the parameters of a single sensing object using the echo signal. We present an integrated beamforming approach for JCAS in a multi-user multiple-input and multiple-output (MIMO) system. The performance measures for communication and sensing are Fisher information (FI) and mutual information (MI). Our research considers two scenarios: multiple communication users with a single sensing object and a single communication user with a single sensing object. We formulate a multi-objective optimization problem to maximize the weighted sum of MI and FI, subject to a total transmit power budget for both cases. As a particular case, we address the equivalent isotropic radiated power (EIRP) for the single communication user scenario. We use the uplink-downlink duality for the multi-user case to simplify the problem and apply Lagrangian optimization and line search methods with a block-coordinate ascending technique. We use projected gradient descent (PGD) to solve the optimization problem in the single-user case. Our numerical results demonstrate that joint beamforming is optimal for the multi-user JCAS system, as opposed to independent beamforming for each user and the sensing object. Furthermore, we reveal the Pareto boundary for the multi-user case, with variations in the number of communication users and the number of transmitting and receiving antennas. We provide the Pareto boundary depending on EIRP limitations for the single-user case.",
    "arxiv_id": "2601.08152",
    "authors": [
      "Thakshila Perera",
      "Amine Mezghani",
      "Ekram Hossain"
    ],
    "categories": [
      "cs.NI"
    ],
    "license": "http://creativecommons.org/publicdomain/zero/1.0/",
    "title": "Multi-Objective Optimization for Joint Communication and Sensing in Multi-user MIMO Systems: Characterizing the Pareto Boundary",
    "url": "https://arxiv.org/abs/2601.08152",
    "version": "v1"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "e49f719d-22f4-44e0-ad2d-0987a27489f7",
    "id": "arXiv Dataset",
    "type": "Model",
    "variant": "snapshot-2026-01-17",
    "version": "0.1.0"
  },
  "user_id": 1000002
}