Downlink Scheduling via Genetic Algorithms for Multiuser Single-Carrier and Multicarrier MIMO Systems With Dirty Paper Coding

Near-Optimal Resource Allocation in Cooperative Cellular Networks Using Genetic Algorithms

“…Computation of the GA relates to the population size and the generation number. "Averaged generation number" means the generation number in average in the simulation, and the computation of the GA can be calculated approximately by "Averaged generation number" times the population size [16].…”

“…The exhaustive search is a common method of finding the optimal results [5], [16]. The basic idea of this algorithm is to try all the possible values within the whole variable fields and to generate all the possible objective results.…”

“…The exhaustive search technique is commonly used for getting the optimal solution [5], [9]. However, it requires high computational effort to obtain the optimal results as it needs to search all the possible combinations or cases [1], [16]. The genetic algorithm is also a search method for solving nonconvex problems, and it is widely used in the fields such as cloud design, computing, sub-carrier allocation and even project management [11,12,13,14,15,16].…”

“…However, it requires high computational effort to obtain the optimal results as it needs to search all the possible combinations or cases [1], [16]. The genetic algorithm is also a search method for solving nonconvex problems, and it is widely used in the fields such as cloud design, computing, sub-carrier allocation and even project management [11,12,13,14,15,16]. But it is rarely used in resource block scheduling to get as much bandwidth efficiency as possible for a downlink transmission in a multi-cell scenario.…”

Stochastic Optimization Assisted Joint Channel Estimation and Multi-User Detection for OFDM/SDMA

“…The most popular algorithms 1 include Genetic Algorithms (GA) [12], Repeated Weighted Boosting Search (RWBS) [13], Particle Swarm Optimization (PSO) [14] and Differential Evolution (DE) [15]. More specifically, significant advances have been made in the development of these stochastic optimization algorithms, including single-user joint channel and data estimation [13,16], CE and/or MUD in the multi-user Code Division Multiple Access (CDMA) UpLink (UL) [17][18][19][20], in the SDMA aided OFDM UL [1,7,9], in MUD assisted Space-Time Block Coding (STBC) [21,22], in CE for Multiple Input Multiple Output (MIMO) systems [23], in the MultiUser Transmission (MUT) aided DownLink (DL) [24,25], in channel allocation [26,27] as well as in a diverse range of other applications.…”