Fractional Power Control for Decentralized Wireless Networks

被引:76
作者
Jindal, Nihar [1 ]
Weber, Steven [2 ,3 ]
Andrews, Jeffrey G. [3 ]
机构
[1] Univ Minnesota, ECE Dept, Minneapolis, MN 55455 USA
[2] Drexel Univ, ECE Dept, Philadelphia, PA 19104 USA
[3] Univ Texas Austin, ECE Dept, Austin, TX 78712 USA
基金
美国国家科学基金会;
关键词
Ad hoc networks; fading; transmission capacity (TC); power control;
D O I
10.1109/T-WC.2008.071439
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We consider a new approach to power control in decentralized wireless networks, termed fractional power control (FPC). Transmission power is chosen as the current channel quality raised to an exponent -s, where s is a constant between 0 and 1. The choices s = 1 and s = 0 correspond to the familiar cases of channel inversion and constant power transmission, respectively. Choosing s is an element of (0, 1) allows all intermediate policies between these two extremes to be evaluated, and we see that usually neither extreme is ideal. We derive closed-form approximations for the outage probability relative to a target SINR in a decentralized (ad hoc or unlicensed) network as well as for the resulting transmission capacity, which is the number of users/m(2) that can achieve this SINR on average. Using these approximations, which are quite accurate over typical system parameter values, we prove that using an exponent of s* = 1/2 minimizes the outage probability, meaning that the inverse square root of the channel strength is a sensible transmit power scaling for networks with a relatively low density of interferers. We also show numerically that this choice of s is robust to a wide range of variations in the network parameters. Intuitively, s* = 1 balances between helping disadvantaged users while making sure they do not flood the network with interference.
引用
收藏
页码:5482 / 5492
页数:11
相关论文
共 20 条
[1]  
AGARWAL S, 2001, P IEEE PIMRC 01, P59
[2]   An Aloha protocol for multihop mobile wireless networks [J].
Baccelli, F ;
Blaszczyszyn, B ;
Mühlethaler, P .
IEEE TRANSACTIONS ON INFORMATION THEORY, 2006, 52 (02) :421-436
[3]  
BAMBOS ND, 1995, IEEE INFOCOM SER, P97, DOI 10.1109/INFCOM.1995.515865
[4]   Decentralized dynamic power, control for cellular CDMA systems [J].
Chamberland, JF ;
Veeravalli, VV .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2003, 2 (03) :549-559
[5]   Balancing transport and physical layers in wireless multihop networks: Jointly optimal congestion control and power control [J].
Chiang, M .
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2005, 23 (01) :104-116
[6]  
CHIANG M, 2008, POWER CONTROL CELLUL
[7]  
Cruz RL, 2003, IEEE INFOCOM SER, P702
[8]  
Elbatt T, 2002, IEEE INFOCOM SER, P976, DOI 10.1109/INFCOM.2002.1019345
[9]   A SIMPLE DISTRIBUTED AUTONOMOUS POWER-CONTROL ALGORITHM AND ITS CONVERGENCE [J].
FOSCHINI, GJ ;
MILJANIC, Z .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 1993, 42 (04) :641-646
[10]   Capacity of fading channels with channel side information [J].
Goldsmith, AJ ;
Varaiya, PP .
IEEE TRANSACTIONS ON INFORMATION THEORY, 1997, 43 (06) :1986-1992