• Mano Vignesh
• Dr. D. Lakshmi

Recent years have seen a sharp increase in the demand for data rates from mobile customers, and efforts to lower the energy usage of cellular networks have focused on the idea of shutting down base stations during off-peak hours. Heterogeneous Cellular Networks (HCNs) in the 5G wireless communication system provide an anticipatory strategy to satisfy the increasing demand for cumulative data rates. However, the most significant utilization of the available radio resources at closely deployed small cells still needs to be solved. The new small base station has been turned into a sleep mode for time-varying traffic loads to reduce power consumption. The sleeping mode control in HCN is described in this work to reduce power consumption while adjusting to the time-varying traffic load. The user association of low loads into sleep is solved using a typical 0/1 knapsack Branch and Bound (BnB) approach to find the answer to the sleep mode control issue. The suggested algorithm selectively turns off certain micro base stations that use the fewest associated users. Comparing the suggested method with the dynamic programming methodology, the simulation results demonstrate that the latter can't successfully lower the system's power usage during low traffic periods.

Heterogeneous Cellular Network, Branch and Bound (BnB) method, Power Consumption

"Power Optimisation in Heterogeneous Cellular Networks Using Branch and Bound Reduction Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.j517-j524, April-2024, Available :http://www.jetir.org/papers/JETIR2404968.pdf

"Power Optimisation in Heterogeneous Cellular Networks Using Branch and Bound Reduction Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppj517-j524, April-2024, Available at : http://www.jetir.org/papers/JETIR2404968.pdf