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Due to the dense deployment of a small base station
(SBS), wired backhauling is not always available, nor it is efficient. Therefore mmWaves are introduced to serve as backhauling
links that offer high backhauling throughput and low CAPEX.
However, mmWaves suffer from a high attenuation rate as the
distance between SBSs and a macro base station (MBS) increases,
which can severely degrade the system performance. Therefore,
it is more efficient to use some SBSs to aggregate from different
SBSs to MBS. On the other hand, densely deployed SBSs with
wireless backhauling can cause high energy consumption in the
system. In this work, we present a new network model in which
SBSs are able to harvest energy from a renewable source and
utilize it for backhauling and their associate UEs. A mathematical
Optimization problem is formulated to solve UEs association, dynamic sleeping, backhauling, and transmission power. Moreover,
due to the complexity of the formulated problem, a heuristic
algorithm is introduced. Namely, a heuristic backhauling and
dynamic sleeping (HBDS) algorithm is introduced to decomposes
the formulated problem into two parts and solve it iteratively.
Finally, computer simulation results that demonstrate the model’s
performance are presented for comparison between optimal solution and HBDS, which shows that HBDS has better computation
efficiency with minimum performance difference.
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