Abstract: The capacity of conventional cellular networks has
reached its upper bound and it can be well handled by introducing
femtocells with low-cost and easy-to-deploy. Spectrum interference
issue becomes more critical in peace with the value-added multimedia
services growing up increasingly in two-tier cellular networks.
Spectrum allocation is one of effective methods in interference
mitigation technology. This paper proposes a game-theory-based on
OFDMA downlink spectrum allocation aiming at reducing co-channel
interference in two-tier femtocell networks. The framework is
formulated as a non-cooperative game, wherein the femto base
stations are players and frequency channels available are strategies.
The scheme takes full account of competitive behavior and
fairness among stations. In addition, the utility function reflects
the interference from the standpoint of channels essentially. This
work focuses on co-channel interference and puts forward a negative
logarithm interference function on distance weight ratio aiming
at suppressing co-channel interference in the same layer network.
This scenario is more suitable for actual network deployment and
the system possesses high robustness. According to the proposed
mechanism, interference exists only when players employ the same
channel for data communication. This paper focuses on implementing
spectrum allocation in a distributed fashion. Numerical results show
that signal to interference and noise ratio can be obviously improved
through the spectrum allocation scheme and the users quality of
service in downlink can be satisfied. Besides, the average spectrum
efficiency in cellular network can be significantly promoted as
simulations results shown.
Abstract: The efficient use of available licensed spectrum is
becoming more and more critical with increasing demand and usage
of the radio spectrum. This paper shows how the use of spectrum as
well as dynamic spectrum management can be effectively managed
and spectrum allocation schemes in the wireless communication
systems be implemented and used, in future. This paper would be an
attempt towards better utilization of the spectrum. This research will
focus on the decision-making process mainly, with an
assumption that the radio environment has already been sensed and
the QoS requirements for the application have been specified either
by the sensed radio environment or by the secondary user itself. We
identify and study the characteristic parameters of Cognitive Radio
and use Genetic Algorithm for spectrum allocation. Performance
evaluation is done using MATLAB toolboxes.