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Application
2380.2.01
US-20150012794-A1
US-20150205664-A1
US-20100023800-A1
US-8737141-A1
US-10157004-B2
US10007433A1
US-9159419-B2
US-10114589-A1
US-10134728-A1
US-20200065270-A1
US-10637533-B2
US-9927986-A1
US-8380915-A1
US-9159419-A1
US-9208071-A1
US-20200098728-A1
US-10643676-A1
US-10468073-B2
US-10283200-A1
US-10461965-B1
US-20130279232-A1
US-8892980-B2
US9632727A1
US10558561A1
US20100023800A1
US7230213A1
OPT-9
FLO-2
FLO-5PROV
ONSO3175(B) - Onsemi378
ONSO3305US - Onsemi346
GTS-3DES
FLO-4
US8762658B2
US8533406B2
US9632727B2
KMN-1PROV
PAT-2
PER-8 PROV
PER-9 PROV
INS-4PROV
HAR-1
CES-16
NXT-5PROV NXT-5, 6, 7, 8
IPP-0051-US14 cross roads
FLO-7PROV
IMI-5PROV
IPP-0050-US35 nextremity
VIL-12
OPT-13
TOY-1
US10998041B1
FSP1845
US6559866B2
Placeholder App
PER-10
KBR-1 1400.2.623
PER-13PROV
PAT-3
US20030023453
RMS-1DES
SMG-1DES
FLO-5
US10318495
US10133662B2
PER-11
US20140066758
VIL-17
PER-17
JBR-1
PER-12
US11056880
US11302645
US20210407565
US11081191
PON-1PROV, 2PROV, 3PROV
PER-33
RMT-1PROV
PER-32
PER-34
MCC-1
FLO-10
PER-14
PER-19
PER-22
PER-18
PER-24
TMC-PAT-1
DAR-2
PER-23
TMC-PAT-4
PER-16
PER-4 DIV1
PER-20
PER-21
BRT-PAT-1
TMC-PAT-5
TMC-PAT-6PROV
BRT-PAT-2-PROV
71212.157.USU1
FPR-PAT-1-PROV
71212.158.USP1
RMT-1
DAR-1PROV
DAR-2PROV
PON-1PROV
PON-2PROV
PON-3PROV
PER-18PROV
TMC-1PROV
TMC-2PROV
PER-13PCT
PER-13
PER-16PROV
PER-14PROV
PER-34PROV
TMC-4PROV
TMC-3
PAS-1PROV
VEH-1
PER-29DES
TEST.001
E2E-TEST.001
TEST-001
TEST-002
TEST-003
TEST-004
ZED006
FSP1011
GAV-PAT-1-PROV
Matter Number
Paragraph Number
188
Application Number
13189402
Reference Case 1
Reference Case 2
Content
In one embodiment, the data set may be sized relative to a biasing scheme that the bias module 318 employs to bias packets. For example, in one embodiment, the data set may be sized based on the period of a deterministic sequence, such as a pseudorandom binary sequence that the bias module 318 uses to bias packets. The closer the size of the data set is to an integer multiple of the period of the pseudorandom binary sequence, the more likely it is that the bias of the resulting data set will match the known bias. In a further embodiment, the bias module 318 may guarantee that a data set of a predefined size has a bias that does not deviate from the known bias by more than a threshold amount. The threshold amount may range from zero to a given integer value or percentage value.
Notes
Added by DJM 3 2021
Raw Data
<w:p><w:pPr><w:pStyle w:val="TPSBody100"/></w:pPr><w:r><w:t xml:space="preserve">In one embodiment, the data set may be sized relative to a biasing scheme that the bias module </w:t></w:r><w:r><w:t>318</w:t></w:r><w:r><w:t xml:space="preserve"> employs to bias packets. For example, in one embodiment, the data set may be sized based on the period of a deterministic sequence, such as a pseudorandom binary sequence that the bias module </w:t></w:r><w:r><w:t>318</w:t></w:r><w:r><w:t xml:space="preserve"> uses to bias packets. The closer the size of the data set is to an integer multiple of the period of the pseudorandom binary sequence, the more likely it is that the bias of the resulting data set will match the known bias. In a further embodiment, the bias module </w:t></w:r><w:r><w:t>318</w:t></w:r><w:r><w:t xml:space="preserve"> may guarantee that a data set of a predefined size has a bias that does not deviate from the known bias by more than a threshold amount. The threshold amount may range from zero to a given integer value or percentage value.</w:t></w:r></w:p>
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