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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Botsinis, Panagiotis Ng, Soon Xin Hanzo, Lajos |
| Copyright Year | 1972 |
| Abstract | In a system supporting numerous users the complexity of the optimal Maximum Likelihood Multi-User Detector (ML MUD) becomes excessive. Based on the superimposed constellations of K users, the ML MUD outputs the specific multi-level K-user symbol that minimizes the Euclidean distance with respect to the faded and noise-contaminated received multi-level symbol. Explicitly, the Euclidean distance is considered as the Cost Function (CF). In a system supporting K users employing M-ary modulation, the ML MUD uses M^K CF evaluations (CFE) per time slot. In this contribution we propose an Early Stopping-aided Durr-H\o yer algorithm-based Quantum-assisted MUD (ES-DHA QMUD) based on two techniques for achieving optimal ML detection at a low complexity. Our solution is also capable of flexibly adjusting the QMUD's performance and complexity trade-off, depending on the computing power available at the base station. We conclude by proposing a general design methodology for the ES-DHA QMUD in the context of both CDMA and SDMA systems. |
| Starting Page | 990 |
| Ending Page | 1000 |
| Page Count | 11 |
| File Size | 910279 |
| File Format | |
| ISSN | 00906778 |
| Volume Number | 62 |
| Issue Number | 3 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-01-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Multiaccess communication Multiuser detection Detectors Complexity theory Quantum computing Modulation Databases spatial division multiple access Code division multiple access computational complexity Durr-H\o yer Algorithm Grover's Quantum Search Algorithm multiuser detection quantum computing |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering |
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