Despite　the　apparent　advantages　and　strong　economic　efforts　for　cellular-connected　drones,　several　critical　challenges　must　be　tackled　for　their　successful　implementation.　Like　any　radio　communication　system　interference　is　considered　as　the　biggest　challenge　as　it　significantly　decreases　the　efficiency　and　reliability　of　the　drone.　The　Monte-Carlo　simulation　(MCS)　strategy　is　based　on　the　principle　of　taking　samples　of　random　variables　from　a　given　distribution.　These　samples　are　then　used　to　assess　interference　in　terms　of　the　interference　received　signal　strength　compared　to　the　desired　received　signal　strength　commonly　known　as　C/I　or　SNR.　The　results　then　are　derived　using　SEAMCAT　software　as　probability　of　interference　where　1　means　that　this　system　is　always　interfered　and　0　means　it’s　never　interfered.　The　study　has　been　conducted　for　separation　distances　of　2,3,4,　and　6　km　between　the　victim　receiver　and　the　interfering　transmitter　where　a　lower　interference　probability　was　achieved　as　far　as　they　were　separated.　A　frequency　allocation　approach　was　also　used　during　this　study　where　we　achieved　lower　interference　probability　when　the　systems　were　operating　at　a　higher　frequency.　©　The　2025　International　Conference　on　Artificial　Life　and　Robotics　(ICAROB2025).