Optimality of Large MIMO Detection via Approximate Message Passing
Abstract
Optimal data detection in multiple-input multiple-output (MIMO) communication systems with a large number of antennas at both ends of the wireless link entails prohibitive computational complexity. In order to reduce the computational complexity, a variety of sub-optimal detection algorithms have been proposed in the literature. In this paper, we analyze the optimality of a novel data-detection method for large MIMO systems that relies on approximate message passing (AMP). We show that our algorithm, referred to as individually-optimal (IO) large-MIMO AMP (short IO-LAMA), is able to perform IO data detection given certain conditions on the MIMO system and the constellation set (e.g., QAM or PSK) are met.
- Publication:
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arXiv e-prints
- Pub Date:
- October 2015
- DOI:
- 10.48550/arXiv.1510.06095
- arXiv:
- arXiv:1510.06095
- Bibcode:
- 2015arXiv151006095J
- Keywords:
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- Computer Science - Information Theory
- E-Print:
- Presented at the 2015 IEEE International Symposium on Information Theory