A joint antenna and user selection scheme for multiuser MIMO system

A computationally efficient genetic algorithm for MIMO broadcast scheduling

“…We have presented system sum-rate comparison for GA with and without elitism and AM to emphasize the advantages obtained by these methods. For performance comparison, we have chosen four real time scenarios used in [21] as (M, N, K, P, N g ) = (6,2,20,20,25), (7,2,25,25,25), (8,2,26,26,25), and (10,2,30,30,25). Figs.…”

“…We calculated the percentage deviation from optimal (PDFO) for random search, full feedback suboptimal algorithm of [23], BGA with and without elitism and AM as discussed in Ref. [21]. The percentage deviation from optimal is defined as follows:…”

“…For ESA (DPC), the number of possible unique user sequences is given as (7). Hence, To accomplish these CMA, dedicated multi-core DSP processors are used by modern day packet data communications and signal processing systems as discussed in [21]. The ability of implementation and feasibility of ESA (DPC) and proposed BGA for practical systems is analysed in Table 2.…”

“…Further, the total number of complex multiplications and additions (CMA) performed by different algorithms are considered as a measure of computational complexity as discussed in [21]. It can be observed from (4) that 2M number of complex multiplications and additions are required for calculating a SINR value.…”

“…[19] considered precoding matrices, Zero Forcing Beamforming (ZFB) and water-filling algorithm for optimum power allocation. Joint antenna and user selection scheme is implemented with different evolutionary algorithms for MU MIMO uplink system [20,21]. These works motivate us to consider the use of BGA for combined user and antenna scheduling (CUAS) for MU MIMO BC systems.…”