Method and system for providing low density parity check (LDPC) coding for scrambled coded multiple access (SCMA)

Abstract

A multiple access scheme is described. One or more encoders are configured to encode a plurality of bit streams using Low Density Parity Check (LDPC) coding. The bit streams correspond to a respective plurality of terminals. The plurality of bit streams are converted to provide a multiple access scheme for the terminals.

Description

RELATED APPLICATIONS[0001]This application is a continuation in part of U.S. patent application (Ser. No. 12 / 056,144) filed Mar. 26, 2008, entitled “Method and System for Providing Scrambled Coded Multiple Access (SCMA),” the entirety of which is incorporated herein by reference, which is related to, and claims the benefit of the earlier filing date under 35 U.S.C. §119(e) of, U.S. Provisional Patent Application (Ser. No. 60 / 908,340) filed Mar. 27, 2007 (Attorney Docket: 115426-1147), entitled “Efficient VSAT Transmission Using Low-Rate Turbo Codes and Scrambled Coded Multiple Access (SCMA) Techniques”; the entirety of which is incorporated herein by reference.BACKGROUND INFORMATION[0002]Multiple access schemes are employed by modern radio systems to allow multiple users to share a limited amount of bandwidth, while maintaining acceptable system performance. Common multiple access schemes include Frequency Division Multiple Access (FDMA), Time Division Multiple Access (TDMA), and Co...

AI Technical Summary

Problems solved by technology

Although long constraint length convolutional codes can also approach the Shannon limit, decoder design complexity prevents practical, wide spread adoption.

Traditionally, LDPC codes have not been widely deployed because of a number of drawbacks.

One drawback is that the LDPC encoding technique is highly complex.

Additionally, LDPC codes require large blocks to be effective; consequently, even though parity check matrices of LDPC codes are sparse, storing these matrices is problematic.

Also, a key challenge in LDPC code implementation has been how to achieve the connection network between several processing engines (nodes) in the decoder.

Further, the computational load in the decoding process, specifically the check node ope

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