The simulation results show that the most efficient bandwidth saving and optical resource allocation can be achieved with INLP, while the proposed adaptive GA nearly has the same performance with low computational complexity and fast convergence, which is more applicable for the large-scale fronthaul network.
The narrowband model can be applied here due to the fact that the bandwidth of a single resource block (RB) allocation can be relatively small (in LTE, a single RB takes 180 kHz).
(III) With the optimal bandwidth and time allocation, the optimal power allocation can be obtained by equivalently solving the following problem {alpha}^{ast }=arg underset{0le alpha le 1}{max }{R}_{mathrm{S}}left alpha, {b}^{ast}left alpha right),{t}^{ast}left alpha right)right) (35).
If we assume the bandwidth allocated in the zone is N*BW, the satisfaction rate S for the allocation can be calculated as follows.
Furthermore, we demonstrate that a hard NIC assignment and bandwidth allocation problem can be decomposed and formulated into a well-defined single or multiple-phase problem.
However, due to bandwidth and backhaul limit, the bandwidth allocation can not increase any more.
Consequently, end-to-end bounded-delay and fair allocation of bandwidth can be achieved.
However, In [28, 30–33], only additionl bandwinth allocation problem is addressed without addressing code allocation and signaling overhead during dynamic bandwidth allocation.
The smaller the difference, MCU-based allocation performs better because the remaining bandwidth can be efficiently utilized without subjecting to an excessive amount of demand.
