Farah Moety, Marc Ibrahim, Samer Lahoud, and Kinda Khawam (2012)
Distributed Heuristic Algorithms for RAT Selection in Wireless Heterogeneous Networks
In: 2012 IEEE Wireless Communications and Networking Conference: Mobile and Wireless Networks (IEEE WCNC 2012 Track 3 Mobile & Wireless), Paris, France.
In wireless heterogeneous networks, one of the most
challenging problems is Radio Access Technology (RAT)
selection that must be designed to avoid resource wastage.
In this paper we adopt a hybrid model for RAT selection
where the system allocates the downlink traffic between two
different technologies in order to enhance global
performance. We study the case of an integrated hybrid
Wireless Local Area Network environment where the challenge
we face is the high computational complexity necessary to
obtain the global optimal solution. Therefore, we propose
four distributed heuristic algorithms for RAT selection,
where two of them are based on the distance between the
user and the access points (APs), namely, distance based
and probabilistic distance based algorithms. While the two
others schemes are based on the peak rate that each user
receives from these APs (peak rate based and probabilistic
peak rate based algorithms). Results show that the proposed
algorithms give efficient results compared to the optimal
one depending on the spatial users distribution. Moreover
these algorithms have a low computational complexity which
makes them more advantageous compared to the optimal scheme
in presence of a large number of users.