Numerical Analysis Sample Clauses

Numerical Analysis. In this section, a set of numerical investigations is detailed in order to shed light on the performance of the MOCA framework to provide reliable D2D cell association. To realize this, D2D links and CUEs are uniformly distributed in a seven-hexagonal cell scenario to provide an indication of the performance in multi-cell network ecosystems. A key premise is that one RB will be allocated to each D2D and cellular link. The basic simulation parameters, similar to EU FP7 METIS project [69], are listed in Table 3.2. All results derive from Monte Carlo simulations in MATLAB. For the performance evaluation of the proposed optimization framework a cost-based heuristic (CbH) cell association method for D2D UEs is devised. This technique greedily associates each D2D pair to the BS that averagely provides the best channel conditions to the two linked DUEs (Algorithm 2). Even though this method optimizes the coupling of the distributed D2D links according to path-loss based equation (3.3), it does not consider the BSs’ limited resource availability which might lead to imbalanced cell association issues (thus, cases of over-loaded cells) in the long run. Basically, this algorithm runs in a centralized, sorted manner by sequentially associating each D2D link with the ideal BS to serve it. To avoid any over-utilization of the BSs, if all the available resources of a BS get occupied, the transmission of the respective DUEs is regulated from a competing BS that is less utilized. Algorithm 2: Cost-based Heuristic (CbH ) + + Data: DUEs’ location coordinates, cost matrix C ∈ R|L∗|x|B|, capacity l = 1; vector K ∈ Z1x|B|. ≤ |L| while l do • { } Find D2D link with minimum cost (min C = ci,j, where i is the row (D2D link id) and j is the column (BS id)). if (ci,j ≤ cth & Kj ! = 0) then • Associate link i with BS j. • Kj = Kj − 1; • ci,(1:|B|) = Inf; → all i-th row values cannot be picked... else if (ci,j ≤ cth & Kj == 0) then • →
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