Abstract
This paper proposes a new concept of multiple-input multiple-output (MIMO) detection, aiming at minimizing the average computational cost. The detection methods are adapted according to the estimated channel state information to deliver just-acceptable error rate (JAER) performance. Error rate models for two popular MIMO detection algorithms are derived given the channel matrix. From these models, a channel-adaptive-MIMO (CA-MIMO) receiver with detector-switching strategies is proposed. Simulation results demonstrate that the proposed CA-MIMO detector meets the JAER criterion efficiently. Compared with the sophisticated Sphere Search (SS) MIMO detector, the average saving at moderate signal-to-noise ratio (SNR) is around 58% to 72%, depending on different modulation alphabets. At high SNR, the CA-MIMO detector almost always switch to Zero-Forcing (ZF) detection, where the complexity is several orders lower than the SS detector.
Original language | English |
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Article number | 5608473 |
Pages (from-to) | 73-83 |
Number of pages | 11 |
Journal | IEEE Transactions on Wireless Communications |
Volume | 10 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2011 Jan |
Externally published | Yes |
Keywords
- MIMO detection
- OFDM
- error probability
- just-acceptable error rate (JAER)
- maximum likelihood
- sphere search
- zero-forcing
ASJC Scopus subject areas
- Computer Science Applications
- Electrical and Electronic Engineering
- Applied Mathematics