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American Journal of Computer Science and Information Technology
ISSN: 2349-3917
E u r o s c i c o n C o n f e r e n c e o n
3D Printing and Wireless
Technology
S e p t e m b e r 1 7 - 1 8 , 2 0 1 8
L i s b o n , P o r t u g a l
Wireless and Printing Technology 2018
Optimizing energy efficiency in two-operator
heterogeneous networks
Zaid Mujaiyid Putra Bin Ahmad Baidowi and Xiaoli Chu
The University of Sheffield, UK
Zaid Mujaiyid Putra Bin Ahmad Baidowi et al., Am J Compt Sci Inform Technol 2018 Volume: 6
DOI: 10.21767/2349-3917-C2-006
Biography
Zaid Mujaiyid Putra Bin Ahmad Baidowi is currently pursuing
his PhD in Wireless Communications, Electronic and Electrical
Department at The University of Sheffield, United Kingdom. He
has completed his Master of Science in Information Security
from Universiti Teknologi Malaysia and BSc (Hons) in Data
Communication and Networking from Universiti Teknologi
MARA, Malaysia, respectively. He was an Academician in
Universiti Teknologi MARA, Malaysia before he joined as a PhD
student in the year 2016, under the Malaysian Government’s
scholarship.
We propose a scheme to optimize the energy efficiency (EE) of two-
operator heterogeneous networks where each operator owns a two-tier
network (containing macro cells and small cells). We consider the joint cell
association and resource blocks (RBs) allocation problem where multiple
small base stations (SBSs) of the two operators are distributed in the coverage
area of each macro base station (MBS). A typical mobile user (MU) is served by
an MBS of a certain network operator. The MU will be associated with any SBS
that offers an optimal EE for better performance of the network operator. The
EE of each MU that is communication between the MU and the nearby SBSs are
calculated. Then, one of the SBSs will be selected as a serving SBS to the MU.
We consider two cases for selecting the serving SBS (i) the SBSs that belong to
the same operator of the current serving MBS and (ii) the SBSs that belong to
the different operator of the current serving MBS. The formulated optimization
problem is a mixed integer non-linear programming problem which is hard
to solve. Therefore, we relax the integer variable to obtain an upper bound.
Then, we transformed the fractional structure of the objective function into a
subtractive structure which is a non-convex problem. Lastly, we transformed
it into a convex problem by applying the successive convex approximation
(SCA) method. The convex problem is solved by Lagrangian dual method to
find an optimal RB allocation and using the subgradient method to find a dual
optimal point. Since this study is still in progress, no result is presented here.
The expected result is that our proposed scheme could achieve a flexible user
association with optimal RBs allocation. Consequently, the overall network
operators’ performance will improve.