In this paper, we propose a novel lattice reduction (LR) algorithm for the low-complexity multiple-input multiple-output (MIMO) detection with near-maximum-likelihood (ML) performance. The proposed LR algorithm is designed considering both the hardware complexity and the power consumption. First, a modified column traverse strategy is proposed to reduce the worst-case complexity (hardware complexity). Also, in order to reduce the average complexity (power consumption), we focus on the joint optimization by employing the early termination (ET) criterion in the context of MIMO detection, whereas the conventional approaches are based exclusively on channel characteristics. In order to make it possible for the LR-aided fixed-complexity sphere detector (FSD) to perform the partial detection, the LR process is thoroughly modified so that the ET criterion is able to be employed. Furthermore, we perform the joint optimization of these two approaches.
|Title of host publication||2017 40th International Conference on Telecommunications and Signal Processing, TSP 2017|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||5|
|Publication status||Published - 2017 Oct 19|
|Event||40th International Conference on Telecommunications and Signal Processing, TSP 2017 - Barcelona, Spain|
Duration: 2017 Jul 5 → 2017 Jul 7
|Name||2017 40th International Conference on Telecommunications and Signal Processing, TSP 2017|
|Conference||40th International Conference on Telecommunications and Signal Processing, TSP 2017|
|Period||17/7/5 → 17/7/7|
Bibliographical notePublisher Copyright:
© 2017 IEEE.
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Signal Processing