MIMO antenna selection using biogeography‐based optimization with nonlinear migration models

Fountoukidis, Konstantinos C.; Kalialakis, Christos; Psannis, Kostas E.; Siakavara, Katherine; Goudos, Sotirios K.; Sarigiannidis, Panagiotis; Obaidat, Mohammad S.

doi:10.1002/dac.3813

Cited by 6 publications

(3 citation statements)

References 47 publications

(143 reference statements)

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“…The biogeography-based optimization (BBO) method is utilized for antenna selection on both the transmitter and receiver sides with the restriction of increasing the channel sum rate. 35 The significant observation is that compared with the optimal technique, the near-optimal throughput may be achieved with far less computational complexity. In Mohanty et al, 36 a MU-MIMO system, the spider monkey optimization (SMO) is utilized for the joint user and antenna scheduling purpose.…”

Section: Literature Reviewmentioning

confidence: 99%

Meta‐heuristic optimization techniques for scheduling in multiple‐input multiple‐output multiple‐access channel system

Kumar Mishra,

Mahapatro,

Pattanayak

2024

Int J Communication

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SummaryIn a highly dense multiple‐input multiple‐output (MIMO) communication system, proper resource allocation is exceedingly challenging. The simultaneous selection of antennas at the base‐station (BS) and scheduling of users in an uplink multiple access channel (MAC) system add up to the signal processing load in the MIMO wireless system. The method chosen for combining the user scheduling and antenna selection must have a very low computational complexity. However, the exhaustive search algorithm (ESA), which achieves the best sum‐rate capacity in a MIMO‐MAC system, has a very high level of complexity. In this paper, we use a metaheuristic‐based optimization algorithms to optimize the sum‐rate capacity in a MAC system with significantly less computational complexity. First, we use the beluga whale optimization (BWO) metaheuristic method to solve the optimization problem. The BWO is a swarm‐based algorithm that draws inspiration from beluga whale behavior. An improved BWO (iBWO) is also presented and is utilized for the same optimization challenge. The proposed iBWO scheme improves the search capability of the algorithm and thereby ensures better exploration and exploitation capabilities of the beluga whales. We compare the performance of these algorithms with a standard differential evolution (DE) algorithm. The simulation results demonstrate that the proposed iBWO is a very competitive meta‐heuristic algorithm for solving optimization problems. The proposed iBWO algorithm achieves near optimal throughput in a MIMO‐MAC system. Also, the computational complexity related to the suggested optimization technique in a MIMO‐MAC system is found to be very less compared with the complexity related to ESA.

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Section: Literature Reviewmentioning

confidence: 99%

Meta‐heuristic optimization techniques for scheduling in multiple‐input multiple‐output multiple‐access channel system

Kumar Mishra,

Mahapatro,

Pattanayak

2024

Int J Communication

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“…The advantages of code gain can be gained with upgrading BER by joining the TAS system in external code. From some existing work, integrated STBC and FEC codes gives greater code benefit with improved BER for MIMO systems [13][14][15]. The Low Density Parity Check (LDPC) codes incorporate with STBC improves the code gain by 9dB and the turbo code gives very high coding gain along with some other channel coding techniques [16].…”

Section: Introductionmentioning

confidence: 99%

Performance of Transmit Antenna Selection in Multiple Input Multiple Output-Orthogonal Space Time Block Code (MIMO-OSTBC) System Joint with Bose-Chaudhuri-Hocquenghem (BCH)-Turbo Code (TC) in Rayleigh Fading Channel

Deotale

2021

IJIE

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The Transmit antenna selection (TAS) technique is essential to increase the efficiency of spatial modulation (SM) systems. This TAS is an effective technique for reducing the Multiple Input Multiple Output (MIMO) systems, which can increase the computational difficulty and Bit error rate (BER) by various TAS algorithms. But these selection methods cannot provide code gain, so it is essential to join the external code in TAS to obtain code gain advantages in BER. In some existing work, the improved BER has been perceived by joining Forward Error Correction Code (FEC) and Space Time Block Code (STBC) for MIMO systems provided greater code gain. A multiple TAS-OSTBC technique with new integration of Bose–Chaudhuri–Hocquenghem (BCH)-Turbo code (TC) is proposed in this paper. The TAS-OSTBC system connects with the external BCH code in sequence of internal Turbo code. This combination can provide increasing code gain and the effective advantages of the TAS-OSTBC system. To perform the system analysis Rayleigh channel is utilized. In the case with multiple TAS-OSTBC systems, better performance can provide by this new combination of the BCH-Turbo compared to the conventional Turbo code for the Rayleigh fading.

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“…The advantages of code gain can obtain along with improving in BER by joining TAS system along an external code. From some existing work, integrated STBC and FEC codes gives greater code benefit with improved BER for MIMO systems (Fountoukidis et al , 2018; Shu, et al , 2018; Payami et al , 2018). The low density parity check (LDPC) codes incorporate with STBC improves coding gain by 9 dB and the turbo code gives very high coding gain in combination with some other channel coding techniques (Sarker et al , 2018).…”

Section: Introductionmentioning

confidence: 99%

MIMO-Orthogonal space time block code system joint with BCH-TC in Rayleigh fading channel for performance of transmit antenna selection

Deotale

2021

JEDT

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Purpose To enhance the performance transmit antenna selection (TAS) of spatial modulation (SM), systems technique needs to be essential. This TAS is an effective technique for reducing the multiple input multiple output (MIMO) systems computational difficulty, and bit error rate (BER) can increase remarkably by various TAS algorithms. But these selection methods cannot provide code gain, so it is essential to join the TAS with external code to obtain cy -ode gain advantages in BER. Design/methodology/approach In this paper, Bose–Chaudhuri–Hocquenghem (BCH)-Turbo code TC is combined with the orthogonal space time block code system. Findings In some existing work, the improved BER has been perceived by joining forward error correction code and space time block code (STBC) for MIMO systems provided greater code gain. The proposed work can provide increasing code gain and the effective advantages of the TAS-OSTBC system. Originality/value To perform the system analysis, Rayleigh channel is used. In the case with multiple TAS-OSTBC systems, better performance can provide by this new joint of the BCH-Turbo compared to the conventional Turbo code for the Rayleigh fading.

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MIMO antenna selection using biogeography‐based optimization with nonlinear migration models

Cited by 6 publications

References 47 publications

Meta‐heuristic optimization techniques for scheduling in multiple‐input multiple‐output multiple‐access channel system

Meta‐heuristic optimization techniques for scheduling in multiple‐input multiple‐output multiple‐access channel system

Performance of Transmit Antenna Selection in Multiple Input Multiple Output-Orthogonal Space Time Block Code (MIMO-OSTBC) System Joint with Bose-Chaudhuri-Hocquenghem (BCH)-Turbo Code (TC) in Rayleigh Fading Channel

MIMO-Orthogonal space time block code system joint with BCH-TC in Rayleigh fading channel for performance of transmit antenna selection

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