On high-rate full-diversity space-time-frequency code with partial interference cancelation group decoding for frequency-selective channels

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• 作者：Yun Mao (1)
  Jun Peng (1)
  Ying Guo (1)
  Dazu Huang (2)
  Moon Ho Lee (3)
  
  1. School of Information Science & Engineering ; Central South University ; Changsha ; 410083 ; China
  2. Department of Information Management ; Hunan University of Finance and Economics ; Changsha ; 410205 ; China
  3. Institution of Information & Communication Engineering ; Chonbuk National University ; Chonju ; 561-756 ; Korea
  
• 关键词：Maximum likelihood decoding ; Partial interference cancelation decoding ; Full ; diversity ; Frequency ; selective channels ; Wireless networks
• 刊名：Multimedia Tools and Applications
• 出版年：2015
• 出版时间：January 2015
• 年：2015
• 卷：74
• 期：1
• 页码：43-61
• 全文大小：310 KB
• 参考文献：1. Alamouti SM (1998) A simple transmit diversity technique for wireless communication. IEEE J Sel Areas Commun 16(10):1451鈥?458 CrossRef
  2. Gong Y, Letaief KB (2001) Space-frequency-time coded OFDM for broadband wireless communications. In: IEEE GLOBECOM. San Antonio, Texas, pp聽519鈥?23
  3. Guo X, Xia X-G (2009) On full diversity space-time block codes with partial interference cancellation group decoding. IEEE Trans Inf Theory 55:4366鈥?385 CrossRef
  4. Heath RW, Paulraj AJ (2002) Linear dispersion codes for MIMO systems based on frame theory. IEEE Trans Signal Process 50(10):2429鈥?441 CrossRef
  5. Jafarkhani H (2001) A quasi-orthogonal space-time block code. IEEE Trans Commun 49(1):1鈥? CrossRef
  6. Lu B, Wang X, Narayanan KR (2002) LDPC-based space-time coded OFDM systems over correlated fading channels: performance analysis and receiver design. IEEE Trans Commun 50(1):74鈥?8 CrossRef
  7. Shang Y, Xia X-G (2007) Overlapped Alamouti codes. In: IEEE GLOBECOM. Washington, DC, pp聽2927鈥?931
  8. Shang Y, Xia X-G (2008) Space-time block codes achieving full diversity with linear receivers. IEEE Trans Inf Theory 54(10):4528鈥?547 CrossRef
  9. Su W, Safar Z, Liu KJR (2005a) Full-rate full-diversity space-frequency codes with optimum coding advantage. IEEE Trans Inf Theory 51(1):229鈥?49 CrossRef
  10. Su W, Safar Z, Liu KJR (2005b) Towards maximum achievable diversity in space, time and frequency: performance analysis and code design. IEEE Trans Wirel Commun 4(4):1847鈥?857 CrossRef
  11. Zhang J-K, Liu J, Wong KM (2005) Linear Toeplitz space time block codes. In: IEEE int. symp. inf. theory. Adelaide, Australia, pp聽1942鈥?946
  12. Zhang W, Xia X-G, Ching PC (2007) High-rate full-diversity spacetime-frequency codes for broadband MIMO block-fading channels. IEEE Trans Commun 55(1):25鈥?4 CrossRef
  13. Zhang W, Xia X-G, Letaief KB (2007) Space-time/frequency coding for MIMO-OFDM in next generation broadband wireless systems. IEEE Wirel Commun 14(6):32鈥?3 CrossRef
  
• 刊物类别：Computer Science
• 刊物主题：Multimedia Information Systems
  Computer Communication Networks
  Data Structures, Cryptology and Information Theory
  Special Purpose and Application-Based Systems
  
• 出版者：Springer Netherlands
• ISSN：1573-7721

文摘

An explicit design of a linear dispersive space-time-frequency (STF) code is investigated with a design criterion achieving a high rate for frequency-selective channels when the partial interference cancelation (PIC) group decoding is implemented at receiver. With an appropriate grouping scheme, the proposed STF code is shown to obtain a similar diversity gain as that of the maximum likelihood (ML) decoding, namely the full-dimensional sphere decoding, but with a low complexity. It seems as an intermediate decoding approach between the ML decoding and the zero-forcing (ZF) decoding. The present grouping design criterion for the PIC group decoding that provides full diversity with orthogonal-frequency-division multiplexing (OFDM) is also an intermediate condition between the loosest ML full rank criterion of codewords and the strongest ZF linear independence of column vectors of the equivalent frequency-selective channel matrix. Simulation results show that the proposed PIC group decoding scheme can well address the rate-performance-complexity tradeoff of the multiple-input multiple-output orthogonal-frequency-division multiplexing (MIMO-OFDM) wireless communication system.