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## A Framework for Uplink Power Control in Cellular Radio Systems (1996)

Venue: | IEEE Journal on Selected Areas in Communications |

Citations: | 631 - 18 self |

### Citations

941 |
Parallel and Distributed Computation, Numerical Methods
- Bertsekas, Tsitsiklis
- 1989
(Show Context)
Citation Context ...nterference ratio (SIR) requirements share certain simple properties. These properties imply that an iterative power control algorithm converges not only synchronously but also totally asynchronously =-=[1]-=- when users perform power adjustments with outdated or incorrect interference measurements. This emphasis on meeting SIR constraints would appear to be particularly appropriate for the uplink of a CDM... |

468 | Z.: A simple distributed autonomous power control algorithm and its convergence
- Foschini, Miljanic
- 1993
(Show Context)
Citation Context ...ork, the desired common SIR fl is embedded in the interference function I FA (p). For a fixed SIR target and fixed base station assignment, Grandhi et al. [19], Zander [20], and Foschini and Miljanic =-=[12]-=- use p(t + 1) = I FA (p(t)) to solve the subproblem of finding a feasible power vector p. In [21], Mitra proves geometric convergence for an asynchronous implementation of Foschini's algorithm. These ... |

364 |
Performance of optimum transmitter power control in cellular radio systems
- Zander
- 1992
(Show Context)
Citation Context ...h time varying radio channels. Power control has been shown to increase the call carrying capacity of cellular systems for channelized systems [2--4] as well as single channel CDMA systems [5--7]. In =-=[4, 5, 8--12]-=-, analytical approaches to attaining a common signal to interference ratio (SIR) or maximizing the minimum SIR are considered. In these works, the assignment of users to base stations is fixed or spec... |

284 | On the Capacity of a Cellular CDMA System - Gilhousen - 1991 |

187 |
Centralized power control in cellular radio systems
- SA, Vijayan, et al.
- 1993
(Show Context)
Citation Context ... pilot tone signals. The SIR requirement of user j at its assigned base a j can be written p j �� a j j (p)sfl j . That is, we can write p jsI FA j (p) = fl j �� a j j (p) (4) Under fixed assi=-=gnment, [5, 8, 11]-=- have considered the maxmin SIR problem in which fl j = fl for all j and the objective is to maximize fl subject to psI FA (p). In this work, the desired common SIR fl is embedded in the interference ... |

156 |
An algorithm for combined cell-site selection and power control to maximize cellular spread spectrum capacity
- Hanly
- 1995
(Show Context)
Citation Context ...ach step of this iterative procedure, user j is assigned to the base station at which its SIR is maximized. The convergence of the MPA iteration has been analyzed by Yates and Huang [14,15] and Hanly =-=[13]-=- for continuous power adjustments, and by Stolyar [16] for discrete power adjustments. MPA can also be considered a generalization of soft handoff; see [22]. The SIR constraint of user j is max k p j ... |

146 | Erlang capacity of a power controlled CDMA system - Viterbi, Viterbi - 1993 |

134 | Integrated power control and base station assignment
- Yates, Huang
- 1995
(Show Context)
Citation Context ...ignment (MPA) At each step of this iterative procedure, user j is assigned to the base station at which its SIR is maximized. The convergence of the MPA iteration has been analyzed by Yates and Huang =-=[14,15]-=- and Hanly [13] for continuous power adjustments, and by Stolyar [16] for discrete power adjustments. MPA can also be considered a generalization of soft handoff; see [22]. The SIR constraint of user ... |

110 |
An Asynchronous Distributed Algorithm for Power Control in Celular Radio Systems
- Mitra
- 1993
(Show Context)
Citation Context ... target and fixed base station assignment, Grandhi et al. [19], Zander [20], and Foschini and Miljanic [12] use p(t + 1) = I FA (p(t)) to solve the subproblem of finding a feasible power vector p. In =-=[21]-=-, Mitra proves geometric convergence for an asynchronous implementation of Foschini's algorithm. These methods find the unique power vector p = I FA (p). ffl Minimum Power Assignment (MPA) At each ste... |

96 | Radio Link Admission Algorithms for Wireless Networks with Power Control and Active Link Quality Protection
- Bambos, Chen, et al.
- 1995
(Show Context)
Citation Context ...ermits a number of extensions. In particular, we will show how to incorporate maximum and minimum power constraints, hybrid interference functions, and a general form of the active link protection in =-=[18]-=-. 2 General Interference Constraints We assume N users, M base stations and a common radio channel. The transmitted power of user j is p j . Let h kj denote the gain of user j to base k. At base k, th... |

92 |
Soft handoff extends CDMA cell coverage and increases reverse link capacity
- Viterbi, Viterbi, et al.
- 1994
(Show Context)
Citation Context ...alyzed by Yates and Huang [14,15] and Hanly [13] for continuous power adjustments, and by Stolyar [16] for discrete power adjustments. MPA can also be considered a generalization of soft handoff; see =-=[22]. The SI-=-R constraint of user j is max k p j �� kj (p)sfl j , which can be written p jsI MPA j (p) = min k fl j �� kj (p) (5) An example of the MPA interference constraints are depicted in Figure 1. In... |

84 |
Power balancing in systems employing frequency reuse
- Aein
- 1973
(Show Context)
Citation Context ... pilot tone signals. The SIR requirement of user j at its assigned base a j can be written p j �� a j j (p)sfl j . That is, we can write p jsI FA j (p) = fl j �� a j j (p) (4) Under fixed assi=-=gnment, [5, 8, 11]-=- have considered the maxmin SIR problem in which fl j = fl for all j and the objective is to maximize fl subject to psI FA (p). In this work, the desired common SIR fl is embedded in the interference ... |

75 |
Power Control for a Spread Spectrum Cellular Mobile Radio System
- Nettleton, Alavi
- 1983
(Show Context)
Citation Context ...h time varying radio channels. Power control has been shown to increase the call carrying capacity of cellular systems for channelized systems [2--4] as well as single channel CDMA systems [5--7]. In =-=[4, 5, 8--12]-=-, analytical approaches to attaining a common signal to interference ratio (SIR) or maximizing the minimum SIR are considered. In these works, the assignment of users to base stations is fixed or spec... |

42 |
Information capacity of radio networks
- Hanly
- 1993
(Show Context)
Citation Context ... means. In [13--16], an integrated approach to power control and base station assignment is analyzed. Power control under the assumption that all users are received by all base stations is studied in =-=[17]-=-. For the most part, analytical methods have derived convergence results for iterative power control algorithms that meet an SIR requirement for each user. In this work, we will see that for a broad c... |

32 | Transmitter Power Control for Co-channel Interference Management
- Zander
- 1993
(Show Context)
Citation Context ...subject to psI FA (p). In this work, the desired common SIR fl is embedded in the interference function I FA (p). For a fixed SIR target and fixed base station assignment, Grandhi et al. [19], Zander =-=[20]-=-, and Foschini and Miljanic [12] use p(t + 1) = I FA (p(t)) to solve the subproblem of finding a feasible power vector p. In [21], Mitra proves geometric convergence for an asynchronous implementation... |

27 | Method for Computing the Optimum Power Balancing in Multibeam Satellites - Meyerhoff - 1974 |

17 |
On distributed power control for radio networks
- Chen, Bambos, et al.
- 1994
(Show Context)
Citation Context ...en we consider maximum power constraints in section 5, we shall see that that feasibility of I(p) is not a significant restriction. Moreover, when I(p) is infeasible, we have a call admission problem =-=[18, 23, 24]-=- in finding a subset of users that can obtain acceptable connections. In addition, the feasibility of I(p) is highly dependent on the underlying wireless system implementation while this work emphasiz... |

17 |
Power control based admission policies in cellular radio networks”, GLOBECOM ’92 [4
- Bambos, Pottie
- 2000
(Show Context)
Citation Context ...en we consider maximum power constraints in section 5, we shall see that that feasibility of I(p) is not a significant restriction. Moreover, when I(p) is infeasible, we have a call admission problem =-=[18, 23, 24]-=- in finding a subset of users that can obtain acceptable connections. In addition, the feasibility of I(p) is highly dependent on the underlying wireless system implementation while this work emphasiz... |

11 | Reduction of Cochannel Interference in Cellular Systems by Intra-Zone Channel Reassignment and Adaptive Power Control - Fuji, Sakamoto - 1988 |

7 | Effect of Transmission Power Control on the co-channel interference - Tschirks - 1989 |

7 |
Distributed Dynamic Resource Allocation
- Grandhi, Vijayan, et al.
- 1993
(Show Context)
Citation Context ... maximize fl subject to psI FA (p). In this work, the desired common SIR fl is embedded in the interference function I FA (p). For a fixed SIR target and fixed base station assignment, Grandhi et al. =-=[19]-=-, Zander [20], and Foschini and Miljanic [12] use p(t + 1) = I FA (p(t)) to solve the subproblem of finding a feasible power vector p. In [21], Mitra proves geometric convergence for an asynchronous i... |

6 | Transmitter power control for cellular land mobile radio - Nagatsu, Tsuruhara, et al. - 1985 |

4 |
Constrained Power Control and Base Station Assignment in Cellular Radio Systems
- Yates, Huang
- 1995
(Show Context)
Citation Context ...ignment (MPA) At each step of this iterative procedure, user j is assigned to the base station at which its SIR is maximized. The convergence of the MPA iteration has been analyzed by Yates and Huang =-=[14,15]-=- and Hanly [13] for continuous power adjustments, and by Stolyar [16] for discrete power adjustments. MPA can also be considered a generalization of soft handoff; see [22]. The SIR constraint of user ... |

1 |
Convergence properties of the CDMA reverse link power control algorithm
- Fleming, Stolyar
- 1994
(Show Context)
Citation Context ...ed to the base station at which its SIR is maximized. The convergence of the MPA iteration has been analyzed by Yates and Huang [14,15] and Hanly [13] for continuous power adjustments, and by Stolyar =-=[16] for-=- discrete power adjustments. MPA can also be considered a generalization of soft handoff; see [22]. The SIR constraint of user j is max k p j �� kj (p)sfl j , which can be written p jsI MPA j (p) ... |