A Joint Local Short Scheduling Mechanism for a Successful MIMO–OFDM Communication System

Hybrid optimisation for priority‐based scheduling in multi‐user STBC‐MIMO‐OFDM

“…The effectiveness of the proposed DRO is revealed through the comparative analysis and the competing methods employed are Genetic Algorithm (GA) [3], Joint Local Shortest Scheduling (JLSS) [19], and QoS guaranteed [2]. Additionally, the proposed method is analysed using three modulation schemes, such as BPSK, QPSK, and QAM.…”

“…The drawback of the method was regarding the higher throughput, whereas there was no reduction in the feedback overhead. A scheduling technique based on the multi-channel bacterial foraging optimisation algorithm was developed by Senthilkumar and Chandrasekaran [19]. The algorithm offered minimal bit error rate (BER) and higher outage capacity, but the method failed to consider the uplink and downlink transmission.…”

“…• The MIMO-OFDM is the most commonly employed communication system that schedules the appropriate user equipment with the resource, which is the major challenge [19]. • In MIMO-OFDM, the selection of a scheme for determining the proper optimal antenna based on the targeted QOS, better capacity, and the requirements of the transmission reliability, is a major challenge [24].…”

“…The maximal throughput at every time instance of scheduling is given as in (19), which is the sum of the throughput of the individual users available. (19) where R j refers to the throughput of the individual user j.…”

“…The maximal throughput at every time instance of scheduling is given as in (19), which is the sum of the throughput of the individual users available. (19) where R j refers to the throughput of the individual user j. The throughput should be maximal that enhances the system capacity and the order of the user that assures the user rates is selected as the best solution (best order of user to utilise the antenna).…”