skip to main content
research-article

A framework for uplink power control in cellular radio systems

Published: 01 September 2006 Publication History

Abstract

In cellular wireless communication systems, transmitted power is regulated to provide each user an acceptable connection by limiting the interference caused by other users. Several models have been considered including: (1) fixed base station assignment where the assignment of users to base stations is fixed, (2) minimum power assignment where a user is iteratively assigned to the base station at which its signal to interference ratio is highest, and (3) diversity reception where a user's signal is combined from several or perhaps all base stations. For the above models, the uplink power control problem can be reduced to finding a vector p of users' transmitter powers satisfying p⩾I(p) where the jth constraint pj⩾Ij(p) describes the interference that user j must overcome to achieve an acceptable connection. This work unifies results found for these systems by identifying common properties of the interference constraints. It is also shown that systems in which transmitter powers are subject to maximum power limitations share these common properties. These properties permit a general proof of the synchronous and totally asynchronous convergence of the iteration p(t+1)=I(p(t)) to a unique fixed point at which total transmitted power is minimized

Cited By

View all
  • (2024)Positive concave deep equilibrium modelsProceedings of the 41st International Conference on Machine Learning10.5555/3692070.3692644(14365-14381)Online publication date: 21-Jul-2024
  • (2024)A Profit-Maximizing Data Marketplace with Differentially Private Federated Learning under Price CompetitionProceedings of the ACM on Management of Data10.1145/36771272:4(1-27)Online publication date: 30-Sep-2024
  • (2024)Neural Sum Rate Maximization for AI-Native Wireless Networks: Alternating Direction Method of Multipliers Framework and Algorithm UnrollingProceedings of the 2nd International Workshop on Networked AI Systems10.1145/3662004.3663552(13-18)Online publication date: 3-Jun-2024
  • Show More Cited By
  1. A framework for uplink power control in cellular radio systems

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image IEEE Journal on Selected Areas in Communications
    IEEE Journal on Selected Areas in Communications  Volume 13, Issue 7
    September 2006
    222 pages

    Publisher

    IEEE Press

    Publication History

    Published: 01 September 2006

    Qualifiers

    • Research-article

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)0
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 05 Jan 2025

    Other Metrics

    Citations

    Cited By

    View all
    • (2024)Positive concave deep equilibrium modelsProceedings of the 41st International Conference on Machine Learning10.5555/3692070.3692644(14365-14381)Online publication date: 21-Jul-2024
    • (2024)A Profit-Maximizing Data Marketplace with Differentially Private Federated Learning under Price CompetitionProceedings of the ACM on Management of Data10.1145/36771272:4(1-27)Online publication date: 30-Sep-2024
    • (2024)Neural Sum Rate Maximization for AI-Native Wireless Networks: Alternating Direction Method of Multipliers Framework and Algorithm UnrollingProceedings of the 2nd International Workshop on Networked AI Systems10.1145/3662004.3663552(13-18)Online publication date: 3-Jun-2024
    • (2024)Joint Power Allocation and 3D Deployment for UAV-BSs: A Game Theory Based Deep Reinforcement Learning ApproachIEEE Transactions on Wireless Communications10.1109/TWC.2023.328181223:1(736-748)Online publication date: 1-Jan-2024
    • (2024)Multiple-Time-Slot Multiple Access Binary Computation Offloading in the $K$-User CaseIEEE Transactions on Signal Processing10.1109/TSP.2024.344419472(3927-3944)Online publication date: 1-Jan-2024
    • (2024)UL-DL Duality for Cell-Free Massive MIMO With Per-AP Power and Information ConstraintsIEEE Transactions on Signal Processing10.1109/TSP.2024.337680972(1750-1765)Online publication date: 13-Mar-2024
    • (2024)Energy and Delay Aware General Task Dependent Offloading in UAV-Aided Smart FarmsIEEE Transactions on Network and Service Management10.1109/TNSM.2024.339166421:5(5033-5048)Online publication date: 1-Oct-2024
    • (2023)Interference Exploitation in IRS-Aided Heterogeneous Networks: Joint Symbol Level Precoding and Reflecting DesignIEEE Transactions on Wireless Communications10.1109/TWC.2023.333176823:6(6467-6481)Online publication date: 17-Nov-2023
    • (2023)The Extremal GDoF Gain of Optimal Versus Binary Power Control in K User Interference Networks is Θ (√K)IEEE Transactions on Wireless Communications10.1109/TWC.2023.324916522:11(7214-7226)Online publication date: 1-Nov-2023
    • (2022)IRS-aided MIMO Systems over Double-scattering Channels: Impact of Channel Rank Deficiency2022 IEEE Wireless Communications and Networking Conference (WCNC)10.1109/WCNC51071.2022.9771563(2076-2081)Online publication date: 10-Apr-2022
    • Show More Cited By

    View Options

    View options

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media