2008
DOI: 10.1109/t-wc.2008.070664
|View full text |Cite
|
Sign up to set email alerts
|

The Effects of Ordering Criteria in Linear Successive Interference Cancellation in CDMA Systems

Abstract: It is well-known that multiuser detection techniques such as successive interference cancellation (SIC) can obtain significant performance improvement over traditional matched filter receivers in code division multiple access (CDMA) systems. Due to its simplicity and usefulness, the SIC structure has received significant attention for several years. In this letter, we make three contributions to the understanding of this receiver structure. First, we derive a closed form expression for received power profile o… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
9
0
5

Year Published

2010
2010
2020
2020

Publication Types

Select...
4
2

Relationship

0
6

Authors

Journals

citations
Cited by 12 publications
(14 citation statements)
references
References 11 publications
0
9
0
5
Order By: Relevance
“…Note that although a real SIC implementation always proceeds in decreasing order of received powers [8], this constraint is obviated understanding that the solution profile E s (t) will be non-increasing in 0  t  t 0 . This is validated a posteriori in Section IV.…”
Section: Energy Allocation Designmentioning
confidence: 99%
See 1 more Smart Citation
“…Note that although a real SIC implementation always proceeds in decreasing order of received powers [8], this constraint is obviated understanding that the solution profile E s (t) will be non-increasing in 0  t  t 0 . This is validated a posteriori in Section IV.…”
Section: Energy Allocation Designmentioning
confidence: 99%
“…In that respect, system performance strongly depends on the decoder's packet error rate (PER) characteristic. Soft feedback SIC, where the correlator's output is used to perform cancellation, is employed in [8], [9]. This is sometimes inaccurate since estimation errors are propagated along SIC stages.…”
Section: Introductionmentioning
confidence: 99%
“…The problem of adjusting decoding orders to minimize the total transmission power of users has been considered in [14][15][16][17][18]. In [14,15], the authors suggest decoding users in descending order of channel gains to minimize the total transmission power of users.…”
Section: Introductionmentioning
confidence: 99%
“…In [16], Berggren et al consider the case of imperfect SIC and suggest decoding users in descending order of channel gains to minimize the total transmission power of users under the single rate system. In [17,18], the authors focus on the multi-rate system with imperfect SIC and find that the optimal decoding order of minimizing the total transmission power is a function of users' signal-to-interference-plus-noise ratio (SINR) requirements and channel gains. But they have not explicitly derived the optimal decoding order.…”
Section: Introductionmentioning
confidence: 99%
“…It was shown in [4] that, although the proposed equalizers can lower the error floor caused by MUI, a performance degradation compared to an ideal synchronous system still exists, even when error correcting codes are applied. Successive interference cancellation (SIC) is an effective MUI mitigation technique that has received considerable attention in conventional multiple access systems such as direct sequence code division multiple access (DS-CDMA) systems [5][6][7][8][9][10][11][12][13][14]. However, a BS-CDMA system is different from a DS-CDMA system in the sense that while 2 EURASIP Journal on Advances in Signal Processing a DS-CDMA system spreads each symbol from a particular user by using a user-specific spreading code, a BS-CDMA system spreads a block of precoded symbols with such a spreading code.…”
Section: Introductionmentioning
confidence: 99%