Paper #3

Small Cell Integration into Urban Furniture for Smart City Development

Mohammed Sh. Ali, Mohammed Othman Hasan, Rana H. A. Zubo and Raed A. Abd-Alhameed

Abstract: Fifth-generation networks in mid-band spectrum need dense small-cell infrastructure. The binding constraint is site cost, not radio performance. Urban furniture removes part of it: street lighting columns, bus shelters and traffic signals already offer mounting height, mains power and, increasingly, fibre. This paper asks which of those assets an operator with a fixed capital budget should equip. We formulate a budget-aware greedy site-selection algorithm over a discretised service area and evaluate it against seven alternatives: random selection, a snapped lattice, k-means clustering, cost-unaware greedy maximum coverage, simulated annealing, a genetic algorithm and binary particle swarm optimisation. The coverage objective is interference-aware over a constrained, heterogeneously priced candidate set, a combination the surveyed studies do not make. Every selected cell that does not serve a test point interferes there, and propagation follows the Third Generation Partnership Project Urban Micro street-canyon model with line-of-sight and non-line-of-sight states and per-link shadow fading. Demonstrated empirically rather than assumed, the objective is then neither monotone nor submodular, so the classical constant-factor guarantee does not apply and the method is a heuristic. Across fifty paired Monte-Carlo realisations under matched expenditure it exceeds all six remaining baselines at every threshold, by margins whose confidence intervals exclude zero after correction, and it matches simulated annealing at the tightest threshold on about one thirteenth of the computation while trailing it by 0.54 and 0.32 percentage points at the looser two. Under a common budget it comes within 1.2 percentage points of the best baseline on a third to just over a half of the capital. On real urban-furniture inventories extracted from OpenStreetMap for three Swiss city centres, that matched-spend ordering holds and the advantage over cost-unaware selection is largest on the densest inventory, but under a common budget cost-unaware selection is ahead in all three cities. Runs at 28 and 39 GHz show the interference-driven stopping point disappearing as cells shrink, and a probabilistic reading of coverage matches the threshold metric within one percentage point while showing the reliably covered area to be far smaller. We release the simulator and the extracted inventories.

Keywords: Budget-constrained optimisation; Interference modelling; Network densification; Small cell deployment; Street furniture; Submodular maximisation; Urban infrastructure planning.