Distributed Power Control
The
performance of all wireless communications systems is a function of the
signal-to-interference-plus-noise-ratio (SINR).
While readily apparent at the physical layer, it is also generally
true at the higher layers. Optimal
network performance is typically achieved only at a unique power vector [ref
- Mike]. In a static network, it
would be trivial to assign transmit powers to each node in the network to
achieve this power vector. However,
wireless systems are generally mobile, or at least operate in a dynamic
environment, so that any initial power vector assignment will not maintain
its optimality.
For instance, consider a pedestrian in an urban cellular environment
who rounds a corner and creates a line-of-sight (LOS) path to his base
station. This results in a
significant increase in the power received at his base station,
significantly improving his performance, but potentially jamming the other
users in the network. Clearly
this new environment has a different ideal power vector than the original.
In an attempt to maintain the optimum power vector, most modern
communications schemes include some form of power control.
Power control is a set of real-time algorithms implemented on a
network in order to maximize a performance metric.
Some common applications of power control include:
·
Ensuring proper operation in multi-user direct-sequence spread
spectrum (DS-SS) systems
·
Trading off system capacity for quality of service
·
Trading off battery life versus quality of service
Every
power control scheme is designed for a particular target application and
anticipated devices. These
assumptions permit the network planner to maximize QoS while minimizing the
use of system resources.
In
a centralized power control algorithm, all power level decisions are made by
a recognized authority in the network. Some
network topologies are well suited for centralized decision making, and thus
are typically implemented as such. For
instance, the conceptual star topology that exists in a unicellular wireless
system is a star topology with the base station (BS) forming the hub and the
remaining nodes being the mobiles (MS).
In this particular situation, the BS has complete knowledge of the
situation - can all mobiles.
Although
some progress has been made analyzing distributed power control algorithms,
no standardized approach has been formalized. As such, many authors
use radically different approaches that are difficult to generalize.
The work presented on this site adopts a game theoretic approach to
analyzing distributed power control.
On this Website
This website includes links to papers on distributed power control,
literature surveys, conference
presentations, and tutorials related to game theory and distributed power
control.
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