Cost-Efficient Frequency-Domain MIMO–OFDM Modem With an SIMD ALU-Based Architecture

Yeh, Shao-Ying; Liao, Yuan-Te; Lai, Wei-Chi; Hsu, Terng-Yin

doi:10.1109/tvlsi.2014.2377780

Cited by 2 publications

(5 citation statements)

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“…In VLSI implementations, computing power is proportional to the clock rate multiplied by the computing resource. Preferred to supply various specifications, the proposed algorithm is ported to a reconfigurable modem [54] which must be upgraded to ensure sufficient computing power for the proposed detection porting. Because speeding up the clock rate makes chips hard to configured and increasing the computing resources leads to complex interconnection and large chip area, the impact of layout, interconnection, and area are additional important design issues.…”

Section: System Assumptions and Problem Statement A System Descrmentioning

confidence: 99%

“…We revised the FD MIMO-OFDM reconfigurable modem [54] to provide enough computing power for the proposed AOC-based MIMO detection. The revised modem is implemented in HDL and synthesized using Synopsys's Design Compiler with TSMC's 45-nm technology.…”

Section: Multi-rate Architecturementioning

confidence: 99%

“…The main purpose of the single instruction multiple data (SIMD)-based ALU [54] is to maximize the utilization and efficiency of basic PEs such as adders and multipliers. Therefore, in the ALU we create advanced instructions as combinations of these basic operations.…”

Section: ) Clock Limitmentioning

confidence: 99%

“…In this work, to reduce hardware costs, QR decomposition and matrix inversion share a hardware resource: a QR-based matrix inverter. The dedicated accelerator proposed in [54] is also integrated in the multi-rate ALU. Furthermore, we support matrix multiplication, an advanced instruction.…”

Section: ) Pe Limitmentioning

confidence: 99%

“…A short training field (STF) is used to synchronize sample timing and frequency at the beginning of the received packet. A high-throughtput long training field (HT-LTF) is subsequently employed to estimate the channel frequency response and frequency-dependent I/Q imbalance (FDI) [54]. Once the former is estimated, the QR-based matrix inverter computes the Q, R, and H −1 for FDI estimation and further MIMO detection.…”

Section: Schedulingmentioning

confidence: 99%

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A Cost-Effective Adaptive Overlapped Cluster-Based MIMO Detector in a Frequency Domain Reconfigurable Modem

Liao

Hsu

2019

IEEE Access

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Not only to reduce the candidates but also to maintain detection performance in multiple-input multiple-output (MIMO) detection, an adaptive overlapped cluster (AOC) scheme to balance detection error and computing cost is built for 4 × 4 and 8 × 8 MIMO-OFDM systems with up to 256 quadrature amplitude modulation (QAM). The constellations are partitioned into several clusters. A cluster with size decided by channel status is chosen for signal decoding. Different partition schemes are combined to minimize the numbers of clusters required to cover a candidate symbol as the pre-estimated signal falls at cluster edges, namely overlapped clustering. The simulations of a 4 × 4 MIMO OFDM with 64 QAM and 8 × 8 MIMO OFDM with 256 QAM hint that the AOC-based detection requires an additional 0.57 dB and 1.02 dB compared to maximum likelihood (ML). Compared with K-best sphere decoding (SD), it is reduced the computing complexity to 24.50% ∼ 56.25% in 4 × 4 MIMO OFDM and, 35.00% ∼ 56.25% in 8 × 8 MIMO OFDM. In addition, the proposed scheme is ported to a reconfigurable frequency-domain (FD) modem, which is designed and implemented via TSMC 45-nm technology, with multi-rate clocking and processing elements (PEs) upgrading for supporting the proposed MIMIO detection. The results show that the throughput is 1077.8 Mbps with 4 × 4 64-QAM modulations. INDEX TERMS Low complexity, MIMO detection, multi-rate clock, cluster, reconfigurable modem.

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Section: System Assumptions and Problem Statement A System Descrmentioning

confidence: 99%

Section: Multi-rate Architecturementioning

confidence: 99%

Section: ) Clock Limitmentioning

confidence: 99%

Section: ) Pe Limitmentioning

confidence: 99%

Section: Schedulingmentioning

confidence: 99%

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