Exact(2)
However, it would cause a greater average delay of users with worse path loss compared to users with better path loss.
In this paper, we study the effect of buffering at relays on the end-to-end delay of users' data, from the time they arrive at the source until delivery to the destination.
Similar(58)
w k [n] represents the HOL delay of user k measured in TTI n.
This error floor worsens as |ρ k | decreases, i.e., as the channel estimation error or CSI delay of user k increases.
Finally, in (4), δ i is the maximum probability for HOL packet delay of user i to exceed its delay threshold (in this case, δ i and τ max are shared by all RT users).
The authors in [4] investigate the user association and resource allocation problem in HetNets and propose an optimal user association and resource allocation algorithm which minimizes the average packet delay of user traffic across the network.
In (1), W i (t) is the Head-Of-Line (HOL) packet delay of user i at time t, (aoverline {W t)}) represents the average delay of RT users, a i is related to delay constraints and P F factor is the fairness factor.
The HOL delay of user m at the beginning of time slot t (or equivalently, the end of time slot (t - 1)) can be written as W H O L, m ( t ) = t T s - τ m ( A ) ( t ), where τ m ( A ) ( t ) denotes the arrival time of the HOL packet in the queue of user m.
THoweveruency domain codes are again determined by considering the time domain codes as the root codes and they would be and for calls A and B, respectively.
The average delay of the users is inversely proportional to the scheduling probability and the scheduling threshold is used to control the delay.
It can be observed how the QoS scheduling algorithm is able to keep the filtered packet delay of all users of QCI4 below their PDB.
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