To model the bandwidth constraints, we suppose that the available bandwidth of each BS i is W i. Let w ij represent the bandwidth BS i allocated to MU j.
The weight of an edge could, for instance, represent the bandwidth of a wired connection in a network, or it could represent the cost — in money, computational resources or something else — in moving from one step to the next in some process.
respectively, where W and N0 represent system bandwidth and the noise density, respectively.
where γ n,k represents the SINR on the link between small cell n and user k, and ζ b >0 and ζ s >0, respectively, represent the bandwidth efficiency and the SINR efficiency [37].
We use f(X) to represent the bandwidth consumption of this solution as shown in Eq. 6. sumlimits_{(u,v) in {L_{v}}}^ {sumlimits_{ i,j) in {L_{p}}} {f_{ij}^{uv}}} {times text{BW}}({l_{uv}}), (6).
For an uplink BRU C m,x,y, R m, x, y t p and R m, x, y t r represent the bandwidth requirement of its PDUs in tp and tr statuses, respectively.
For the RRC filters, a roll-off factor β is a measure of the excess bandwidth of the filter, which represents the bandwidth occupied beyond the Nyquist bandwidth of 1/2T.
Let and represent the total bandwidth and coherence bandwidth, respectively.
Here, (gamma _{n^{1}_{i_{k}}}) represents the bandwidth share of ith node belonging to kth cluster of level-1.
Figure 11 presents the evolution of ACPR versus the cutoff frequency, where this cutoff frequency represents the bandwidth of instrument.
