Comparison of Convolutional and Turbo Coding for Broadband FWA Systems

Chatzigeorgiou, Ioannis; Rodrigues, Mário; Wassell, I.J.; Carrasco, R.A.

doi:10.1109/tbc.2007.893387

Cited by 35 publications

(24 citation statements)

References 19 publications

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“…At the initial stage, we use the 3-path combining scheme (see (26)) to get a crude symbol estimate. At the following stages, the modified Alamouti algorithm with IC (see (27) and (28)) is employed to cancel ISI using decision feedback from the previous stage. Fig.…”

Section: Analytical Results and Performance Comparisonmentioning

confidence: 99%

“…The variance of ε 0 n , ε 1 n will be much smaller than that of 0 n 1 n in (26) and w 0 n w 1 n in (16), consequently, the BER performance will be greatly improved. From (27) and (28), we see that this scheme does not involve any matrix inversion, it only requires linear processing at the receiver.…”

Section: B Interference Cancellation (Ic)mentioning

confidence: 99%

“…Some optional coding schemes are also specified in the standard, such as a convolutional turbo code (CTC) and a block turbo code (BTC). Note that a comparative study on the performance of convolutional codes and turbo codes for BFWA systems has been conducted in [27]. Compared to the convolutional codes with the same decoder complexity, turbo codes have similar performance in SISO BFWA channel, and achieve better performance in MIMO BFWA channel as the number of antennas increases [27].…”

Section: Turbo Equalization Algorithmmentioning

confidence: 99%

“…Note that a comparative study on the performance of convolutional codes and turbo codes for BFWA systems has been conducted in [27]. Compared to the convolutional codes with the same decoder complexity, turbo codes have similar performance in SISO BFWA channel, and achieve better performance in MIMO BFWA channel as the number of antennas increases [27]. When the inner convolutional/turbo code is concatenated with an outer Reed-Solomon code, the system performance will improve at the cost of increased encoding and decoding complexity.…”

Section: Turbo Equalization Algorithmmentioning

confidence: 99%

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Theoretical performance analysis of single and multiple antenna BFWA systems

2007

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The systems under investigation are broadband fixed wireless access (BFWA) systems operating in multipath fading channels. Conventional detection methods, e.g., coherent detection for single-input, single-output (SISO) systems and the Alamouti algorithm for multiple-input, multiple-output (MIMO) systems are examined theoretically in this paper and shown to yield unsatisfactory performance. The theoretical analyses are validated by Monte-Carlo simulations and are demonstrated to be accurate. The asymptotic performance of the space-time block coded (STBC) system with the Alamouti transmission scheme is also evaluated. However, the results indicate that the performance lower bound cannot be obtained in an uncoded system due to the error propagation problem, which can be tackled by concatenating the STBC system with an outer channel code and applying the turbo processing principle. The theoretical performance analysis conducted in this paper give us an insight into the physical limitations imposed by the BFWA channels and suggest solutions to improve the capacity and performance of future BFWA systems.

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Section: Analytical Results and Performance Comparisonmentioning

confidence: 99%

Section: B Interference Cancellation (Ic)mentioning

confidence: 99%

Section: Turbo Equalization Algorithmmentioning

confidence: 99%

Section: Turbo Equalization Algorithmmentioning

confidence: 99%

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Theoretical performance analysis of single and multiple antenna BFWA systems

2007

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“…Another important aspect of code complexity relies on architectural issues introduced by code design. [29] studies the complexity of decoding algorithms that is measured in terms of computational operations such as multiplications, divisions and additions. In Table 3 is listed the number of operations (i.e.…”

Section: Comparison Complexitymentioning

confidence: 99%

On Cross-Layer Design of AMC Based on Rate Compatible Punctured Turbo Codes

Foukalas¹,

Zervas²

2010

IJCNS

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This paper extends the work on cross-layer design which combines adaptive modulation and coding at the physical layer and hybrid automatic repeat request protocol at the data link layer. By contrast with previous works on this topic, the present development and the performance analysis as well, is based on rate compatible punctured turbo codes. Rate compatibility provides incremental redundancy in transmission of parity bits for error correction at the data link layer. Turbo coding and iterative decoding gives lower packet error rate values in low signal-to-noise ratio regions of the adaptive modulation and coding (AMC) schemes. Thus, the applied cross-layer design results in AMC schemes can achieve better spectral efficiency than convolutional one while it retains the QoS requirements at the application layer. Numerical results in terms of spectral efficiency for both turbo and convolutional rate compatible punctured codes are presented. For a more comprehensive presentation, the performance of rate compatible LDPC is contrasted with turbo case as well as the performance complexity is discussed for each of the above codes.

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Bibliography

2008

Space‐Time Layered Information Processing for Wireless Communications

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Comparison of Convolutional and Turbo Coding for Broadband FWA Systems

Cited by 35 publications

References 19 publications

Theoretical performance analysis of single and multiple antenna BFWA systems

Theoretical performance analysis of single and multiple antenna BFWA systems

On Cross-Layer Design of AMC Based on Rate Compatible Punctured Turbo Codes

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