Capacity regions and optimal power allocation for groupwise multiuser detection

Cristina Comaniciu; H. Vincent Poor

doi:10.1109/TWC.2004.843021

Capacity regions and optimal power allocation for groupwise multiuser detection

Cristina Comaniciu, H. Vincent Poor

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

In this letter, optimal power allocation and capacity regions are derived for groupwise successive interference cancellation (GSIC) systems operating in multipath fading channels, under imperfect channel estimation conditions. It is shown that the impact of channel estimation errors on the system capacity is twofold: It affects the receiver performance within a group of users, as well as the cancellation performance (through cancellation errors). An iterative power allocation algorithm is derived, based on which it can be shown that that the total required received power is minimized when the groups are ordered according to their cancellation errors, and the first detected group has the smallest cancellation error. Performace/complexity tradeoff issues are also discussed by directly comparing the system capacity for different implementations: GSIC with linear minimum-mean-square error (LMMSE) receivers within the detection groups; GSIC with matched filter (MF) receivers; multicode LMMSE systems; and simple all MF receivers systems.

Original language	English (US)
Pages (from-to)	349-352
Number of pages	4
Journal	IEEE Transactions on Wireless Communications
Volume	4
Issue number	2
DOIs	https://doi.org/10.1109/TWC.2004.843021
State	Published - Mar 2005

All Science Journal Classification (ASJC) codes

Computer Science Applications
Electrical and Electronic Engineering
Applied Mathematics

Keywords

Cancellation error
Capacity
Groupwise multiuser detection
Power control

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10.1109/TWC.2004.843021

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title = "Capacity regions and optimal power allocation for groupwise multiuser detection",

abstract = "In this letter, optimal power allocation and capacity regions are derived for groupwise successive interference cancellation (GSIC) systems operating in multipath fading channels, under imperfect channel estimation conditions. It is shown that the impact of channel estimation errors on the system capacity is twofold: It affects the receiver performance within a group of users, as well as the cancellation performance (through cancellation errors). An iterative power allocation algorithm is derived, based on which it can be shown that that the total required received power is minimized when the groups are ordered according to their cancellation errors, and the first detected group has the smallest cancellation error. Performace/complexity tradeoff issues are also discussed by directly comparing the system capacity for different implementations: GSIC with linear minimum-mean-square error (LMMSE) receivers within the detection groups; GSIC with matched filter (MF) receivers; multicode LMMSE systems; and simple all MF receivers systems.",

keywords = "Cancellation error, Capacity, Groupwise multiuser detection, Power control",

author = "Cristina Comaniciu and Poor, {H. Vincent}",

note = "Funding Information: Manuscript received January 21, 2003; revised December 12, 2003; accepted February 23, 2004. The editor coordinating the review of this paper and approving it for publication is Z. Tian. This work was supported in part by the National Science Foundation under Grant ANI-03-38807 and by the New Jersey Center for Pervasive Information Technology. This work was presented in part at the 2003 Conference on Information Sciences and Systems, The Johns Hopkins University, Baltimore, MD, March 2003.",

year = "2005",

month = mar,

doi = "10.1109/TWC.2004.843021",

language = "English (US)",

volume = "4",

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AU - Comaniciu, Cristina

AU - Poor, H. Vincent

N1 - Funding Information: Manuscript received January 21, 2003; revised December 12, 2003; accepted February 23, 2004. The editor coordinating the review of this paper and approving it for publication is Z. Tian. This work was supported in part by the National Science Foundation under Grant ANI-03-38807 and by the New Jersey Center for Pervasive Information Technology. This work was presented in part at the 2003 Conference on Information Sciences and Systems, The Johns Hopkins University, Baltimore, MD, March 2003.

PY - 2005/3

Y1 - 2005/3

N2 - In this letter, optimal power allocation and capacity regions are derived for groupwise successive interference cancellation (GSIC) systems operating in multipath fading channels, under imperfect channel estimation conditions. It is shown that the impact of channel estimation errors on the system capacity is twofold: It affects the receiver performance within a group of users, as well as the cancellation performance (through cancellation errors). An iterative power allocation algorithm is derived, based on which it can be shown that that the total required received power is minimized when the groups are ordered according to their cancellation errors, and the first detected group has the smallest cancellation error. Performace/complexity tradeoff issues are also discussed by directly comparing the system capacity for different implementations: GSIC with linear minimum-mean-square error (LMMSE) receivers within the detection groups; GSIC with matched filter (MF) receivers; multicode LMMSE systems; and simple all MF receivers systems.

AB - In this letter, optimal power allocation and capacity regions are derived for groupwise successive interference cancellation (GSIC) systems operating in multipath fading channels, under imperfect channel estimation conditions. It is shown that the impact of channel estimation errors on the system capacity is twofold: It affects the receiver performance within a group of users, as well as the cancellation performance (through cancellation errors). An iterative power allocation algorithm is derived, based on which it can be shown that that the total required received power is minimized when the groups are ordered according to their cancellation errors, and the first detected group has the smallest cancellation error. Performace/complexity tradeoff issues are also discussed by directly comparing the system capacity for different implementations: GSIC with linear minimum-mean-square error (LMMSE) receivers within the detection groups; GSIC with matched filter (MF) receivers; multicode LMMSE systems; and simple all MF receivers systems.

KW - Cancellation error

KW - Capacity

KW - Groupwise multiuser detection

KW - Power control

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Capacity regions and optimal power allocation for groupwise multiuser detection

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All Science Journal Classification (ASJC) codes

Keywords

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