Turkish Journal of Electrical Engineering and Computer Sciences
DOI
10.55730/1300-0632.3851
Abstract
In this article, a multiuser (MU) multiinput multioutput (MIMO) system is considered, which is essential to support a huge number of subscribers without consuming extra bandwidth or power. Dirty paper coding (DPC) for MU MIMO channel achieves the peak sum-rate for the MU multiple antenna system at the cost of high computational complexity. Both user and antenna scheduling with a population based meta-heuristic algorithm, i.e. binary flower pollination algorithm (binary FPA) has been demonstrated in this article to achieve system sum-rate comparable to DPC with very less computational complexity and time complexity. Moreover, binary FPA shows a significant improvement in system throughput/sum-rate performance as compared to other population based meta-heuristic algorithms like binary bat algorithm (binary BA) and binary genetic algorithm (binary GA). Furthermore, the proposed binary FPA algorithm successfully achieves higher system sum-rate as compared to random search scheme and different existing suboptimal scheduling algorithms from literature as well. The binary FPA has also better convergence rate and searching ability than both binary BA and binary GA techniques. The percentage deviation achieved by the proposed binary FPA algorithm is quite less than that of binary BA, binary GA, random search method, and existing suboptimal scheduling algorithms from the literature. The efficiency of binary FPA in all these fronts is verified using exhaustive simulation studies.
Keywords
Binary flower pollination algorithm, multiuser MIMO, antenna/user scheduling, dirty paper coding, computation complexity, time complexity
First Page
1317
Last Page
1336
Recommended Citation
MOHANTY, JYOTI; PATTANAYAK, PRABINA; NANDI, ARNAB; BAISHNAB, KRISHNA LAL; and TALUKDAR, FAZAL AHMED
(2022)
"Binary flower pollination algorithm based user scheduling for multiuser MIMO systems,"
Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 30:
No.
4, Article 11.
https://doi.org/10.55730/1300-0632.3851
Available at:
https://journals.tubitak.gov.tr/elektrik/vol30/iss4/11
Included in
Computer Engineering Commons, Computer Sciences Commons, Electrical and Computer Engineering Commons