TY - JOUR

T1 - POWER ALLOCATION IN WIRELESS CELLULAR NETWORKS: STOCHASTIC ALGORITHM BASED APPROACH

AU - Sun, Q

AU - Zhao, C.

AU - Petrosian, O.

AU - Li, Y.

N1 - Conference code: LIII

PY - 2022

Y1 - 2022

N2 - The issue of optimal power allocation in wireless cellular networks with interfering multiple-access channels (IMAC) attracted a lot of attention in recent decades. Although several model-based algorithms have been investigated in this problem, most of them require analytically tractable mathematical models and have high computational complexity. In this context, we compared different model-free stochastic algorithms and proposed a genetic algorithm-based method to minimize signal interference and maximize spectral efficiency. The simulation result shows the superiority of GA-based algorithms against the conventional baseline algorithms.

AB - The issue of optimal power allocation in wireless cellular networks with interfering multiple-access channels (IMAC) attracted a lot of attention in recent decades. Although several model-based algorithms have been investigated in this problem, most of them require analytically tractable mathematical models and have high computational complexity. In this context, we compared different model-free stochastic algorithms and proposed a genetic algorithm-based method to minimize signal interference and maximize spectral efficiency. The simulation result shows the superiority of GA-based algorithms against the conventional baseline algorithms.

KW - INTERFERING-MULTIPLE-ACCESS-CHANNEL

KW - power allocation

KW - genetic algorithm

UR - https://www.elibrary.ru/item.asp?id=48867628

UR - https://dspace.spbu.ru/handle/11701/37048

M3 - Conference article

VL - 9(25)

SP - 357

EP - 362

JO - Процессы управления и устойчивость

JF - Процессы управления и устойчивость

SN - 2313-7304

IS - 1

T2 - Control Processes and Stability

Y2 - 4 April 2022 through 8 April 2022

ER -