Abstract:
With the ever-increasing number of diverse user-equipments (UEs) and their require-
ment of high data rate several modi cations have been done on previous wireless
technologies leading to the evolution of 5G device to device (D2D) communication.
The use of millimeter wave (mmWave) channels is gaining popularity for short-range
D2D communication due to its high available bandwidth. But due to the excessive
penetration loss su ered by mmWave, it is necessary to facilitate D2D communica-
tion along the line of sight (LOS) path. In the D2D communication, UEs also acts
as relays to forward the data packet transmitted by the source to receiver. In the
presence of dynamic Obstacles as well as due to the motion of UEs, blockage of LOS is
highly probable which makes relay selection quite challenging. We are proposing the
unique strategies based on the geometric approach to nd the priority of the relays
for a given D2D pair. In case of blockage of LOS by dynamic or static obstacles, the
respective D2D pair might switch to the other high priority relay. We are modeling
the entire problem as a game-theoretic auction framework with the goal of increasing
the overall throughput of the system as well as prevention of starvation of any D2D
pair. We perform centralized relay selection using the global information but found
that this might not be su cient to reduce packet loss adequately. Motivated by this,
we develop an online relay switching (ORS) algorithm, where we perform pre-emptive
distributed switching using the local information of the UEs to reduce any further
packet loss due to the blockages. Through simulation we show that in the presence
of large number of dynamic obstacles, ORS not only gives a signi cant improvement
in the average throughput and packet loss but also the lower starvation of D2D pairs
than the traditional approaches which does not take into account the pre-emptive
switching of the relays in case of blockage.
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