With the continuous growth of the Internet of Things (IoT),the trend of increasing connection to the Internet of billionsof new IoT devices will continue. To increase network capa-bility to support a large number of active devices accessing anetwork (i.e.,massive IoT connectivity), this work presentsIoT-ResQ, a warm-started quantum annealing-based multi-device detector via quantum reverse annealing (RA). Whilein typical quantum forward annealing (FA) protocol, nothingbetween the initial superposition and the final solution canbe controlled, IoT-ResQ’s RA starts its search operation on acontrollable candidate classical state, instead of a quantumsuperposition and thus allows refined local quantum searcharound the initial state. This procedure can provide an op-portunity of utilizing both conventional and quantum-baseddetectors together synergically. For this, IoT-ResQ consistsof classical Fixed-complexity Sphere Decoder (FSD) and RA.In our evaluation, IoT-ResQ achieves two to three orders ofmagnitude better BER (10−5) than other quantum and con-ventional detectors at SNR 9 dB to support 48 devices withQPSK modulation, sufficiently satisfying a IoT frame decod-ing time-slot in LTE-A. To support 36 devices with QPSKunder 48 receiver antennas at SNR 11 dB, over 2×packet suc-cess rate in IoT-ResQ is observed with packet size of 32-byte,compared to other quantum and conventional detectors.
Warm-Started Quantum Sphere Decoding via Reverse Annealing for Massive IoT Connectivity
Warm-Started Quantum Sphere Decoding via Reverse Annealing for Massive IoT Connectivity
Warm-Started Quantum Sphere Decoding via Reverse Annealing for Massive IoT Connectivity
Research Paper / Oct 2022
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