arrow
Return

Power allocation and control for multicarrier systems with soft decoding

delete1999-01-01
delete13
PRE
AI
H
Hsuan-Jung Su *
E
E. Geraniotis
DOI:10.1109/49.793311delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
We consider the application of multicarrier modulation in a wireless cellular network in order to enable high-data rate communication and alleviate the multipath induced intersymbol interference (ISI). In this scenario, power control becomes crucial in enhancing the spectral and power efficiency. A conventional approach of maintaining the same link quality for all the subchannels, in other words, disregarding any possible postdemodulation processing, is considered first. This approach appears to have increasing power consumption as the number of subchannels increases. It also deteriorates the power control stability and convergence properties in a multicell network. We attribute this phenomenon to lack of frequency diversity exploitation, and thus, we propose to use channel coding and soft decoding as vehicles to profit from the (frequency) diversity advantage in addition to the coding advantage. Based on the soft decoding performance bound, a power allocation and control algorithm is proposed. It is shown through simulations that the proposed algorithm improves the power efficiency as the number of subchannels increases. It also provides a better convergence property and is able to detect and eliminate ill-conditioned subchannels. The advantages of using multicarrier modulation are thus reassured. Besides these enhancements, the proposed algorithm is simple and feasible in that it consists of only the traditional closed-loop power control algorithm and a target signal-to-interference ratio (SIR) reassignment at the receiver. Detailed channel information feedback from receiver to transmitter is not required.
Keywords:
multicarrier modulation
power control
soft decoding
wireless communications
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

IEEE Journal on Selected Areas in Communications cover
IEEE Journal on Selected Areas in Communications
IF:
17.2
Papers:
6.4K
Citations:
3.1W

Organization

No organization information available
Cited Papers

Cited Papers

Gene expression correlates of clinical prostate cancer behavior
err2002-03-01
err0
errOAAI
errDinesh Singh; Phillip G. Febbo; Kenneth Ross; Donald G. Jackson; Judith Manola; Christine Ladd; Pablo Tamayo; Andrew A. Renshaw; Anthony V. D'Amico; Jerome P. Richie; Eric S. Lander; Massimo Loda; Philip W. Kantoff; Todd R. Golub; William R. Sellers
errShare
errSave
errShare
errSave
Synthesis and properties of pendant fluorene moiety-tethered aliphatic polycarbonates
err2015-03-11
err0
errOAAI
errKazuko Nakazono; Chika Yamashita; Takahiro Ogawa; Hiroyuki Iguchi; Toshikazu Takata
errShare
errSave
Gut intraepithelial T lymphocytes
err1993-01-01
err0
PREAI
errDelphine Guy-Grand; Pierre Vassalli
errShare
errSave
Mobile power management for wireless communication networks
err1997-01-01
err53
PREAI
errRulnick, John M.; Bambos, Nicholas
errShare
errSave
researcher View more