Implementations of Signal-Processing Algorithms for OFDM Systems
1National Cheng Kung University, Tainan, Taiwan
2National Chung Hsing University, Taichung, Taiwan
3Inha University, Incheon, Republic of Korea
4School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798
5Lehigh University, Bethlehem, PA 18015, USA
Implementations of Signal-Processing Algorithms for OFDM Systems
Description
Orthogonal frequency-division multiplexing (OFDM) techniques, coupled with multiple-input multiple-output (MIMO) processing, have been widely deployed in various wireless communication systems such as 802.11n, WiMAX, and 3GPP LTE. To enhance the system performance, novel signal-processing techniques are developed, which often require massive and complicated computations. For example, singular value decomposition (SVD), geometric mean decomposition (GMD), and uniform channel decomposition (UCD) are mainstream precoding schemes to reduce multiuser interference and increase the channel capacity. These schemes all involve intensive complex-valued matrix operations and pose major challenges to implementations. MIMO signal detection is another example where popular algorithms such as V-BLAST, QR-BLAST, and sphere decoding all require tremendous computation efforts. With the advances of VLSI technology, the employment of these sophisticated signal-processing algorithms now becomes feasible via dedicated mapping onto powerful digital signal processors or dedicated hardware modules. It is also expected that more and more signal-processing techniques will be devised to enhance the performance of OFDM systems in all aspects. Joint consideration of algorithm development and implementation issues would assure optimized solutions and stir up a lot of innovative research topics. The aim of this special issue is to bring together the state-of-the-art research contributions that address the digital signal-processing techniques tailored for OFDM systems, with the emphasis on algorithm innovations and implementation novelties using FPGAs, ASICs, or digital signal processors. Potential topics include, but are not limited to:
- Precoding and transmitter-side processing techniques
- MIMO detection algorithms
- Lattice reduction techniques
- Iterative receiver for MIMO systems
- Space-time coding and signal processing
- Modulation and coding for wireless channels
- Diversity and equalization techniques
- Joint estimation and detection methods
- Blind channel estimation for MIMO OFDM systems
- Software-defined radio
- Signal-processing algorithm architecture co-optimization
- FPGA, ASIC, or digital signal processor implementations
- OFDM system prototyping and experimental results
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