Channel-adaptive complex K-best MIMO detection using lattice reduction
- Resource Type
- Conference
- Authors
- Sheikh, Farhana; Szabo-Wexler, Elias; Rahman, Mehnaz; Wang, Wei; Alexandrov, Borislav; Yoon, Dongmin; Chun, Anthony; Alavi, Hossein
- Source
- 2014 IEEE Workshop on Signal Processing Systems (SiPS) Signal Processing Systems (SiPS), 2014 IEEE Workshop on. :1-6 Oct, 2014
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Signal Processing and Analysis
MIMO
Detectors
Lattices
Bit error rate
Computational complexity
Vectors
Complex K-best detectors
IEEE 802.11n
IEEE 802.11ac
LTE systems
multiple-input multiple-output (MIMO) detector
SE enumeration
lattice reduction
K-best algorithm
- Language
- ISSN
- 2162-3562
2162-3570
Lattice reduction (LR) aided detectors mitigate the exponentially increasing complexity of large multiple-input, multiple-output (MIMO) systems while achieving near-optimal performance with low computational complexity. In this paper, a channel-adaptive complex-domain LR-aided K-best MIMO detector is presented that reduces the gap between the K-best sphere decoding (SD) detector and the maximum likelihood (ML) optimal MIMO detector. While maintaining BER performance, computational complexity is reduced by 50% over a conventional complex domain K-best SD detector by implementing a new on-demand complex-domain candidate symbol selection algorithm. Two tunable variables in the candidate selection process are introduced to enable both coarse-grained and fine-grained adaptation of computational complexity to channel conditions.