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This paper proposes to leverage intelligent reflecting surface (IRS)backscatter to realize radio-frequency-chain-free uplink-transmissions(RFCF-UT). In this communication paradigm, IRS works as an information carrier,whose elements are capable of adjusting their amplitudes and phases tocollaboratively portray an electromagnetic image like a dynamic quick response(QR) code, rather than a familiar reflection device, while a full-duplex basestation (BS) is used as a scanner to collect and recognize the information onIRS. To elaborate it, an integrated sensing, communication and computationsystem as an example is presented, in which a dual-functionalradar-communication BS simultaneously detects the target and collects the datafrom user equipments each connected to an IRS. Based on the established model,partial and binary data offloading strategies are respectively considered. Bydefining a performance metric named weighted throughput capacity (WTC), twomaximization problems of WTC are formulated. According to the coupling degreeof optimization variables in the objective function and the constraints, eachoptimization problem is firstly decomposed into two subproblems. Then, themethods of linear programming, fractional programming, integer programming andalternative optimization are developed to solve the subproblems. The simulationresults demonstrate the achievable WTC of the considered system, therebyvalidating RFCF-UT.

An IRS Backscatter Enabled Integrated Sensing, Communication and Computation System