TY - GEN
T1 - Achieving the gains promised by integer-forcing equalization with binary codes
AU - Ordentlich, Or
AU - Erez, Uri
PY - 2010
Y1 - 2010
N2 - We address the problem of constructing practical coding schemes for Integer-Forcing (IF) equalization. Previously proposed IF schemes suggested the use of nested lattice codes or linear block codes over double-struck Z q. While such codes have good properties from a theoretic point of view, their implementation complexity may become significant when q is large. In this work we show that at high transmission rates, linear codes suitable for IF equalization may be constructed using binary codes, incurring only moderate losses compared to optimal capacity achieving nested lattice codes. The technique is based on Ungerboeck's method of mapping by set partitioning.
AB - We address the problem of constructing practical coding schemes for Integer-Forcing (IF) equalization. Previously proposed IF schemes suggested the use of nested lattice codes or linear block codes over double-struck Z q. While such codes have good properties from a theoretic point of view, their implementation complexity may become significant when q is large. In this work we show that at high transmission rates, linear codes suitable for IF equalization may be constructed using binary codes, incurring only moderate losses compared to optimal capacity achieving nested lattice codes. The technique is based on Ungerboeck's method of mapping by set partitioning.
UR - http://www.scopus.com/inward/record.url?scp=78651259273&partnerID=8YFLogxK
U2 - 10.1109/EEEI.2010.5662120
DO - 10.1109/EEEI.2010.5662120
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AN - SCOPUS:78651259273
SN - 9781424486809
T3 - 2010 IEEE 26th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2010
SP - 703
EP - 707
BT - 2010 IEEE 26th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2010
T2 - 2010 IEEE 26th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2010
Y2 - 17 November 2010 through 20 November 2010
ER -