Genetic algorithm based pilot allocation scheme for massive MIMO system

Zhang, N.; Bai, Zhiquan; Zhang, Boming; Su, Yong; Han, Tongzhou; Kwak, Kyungsup

doi:10.1109/iccs.2016.7833582

Cited by 6 publications

(4 citation statements)

References 11 publications

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“…However, in mMIMO system, the PC is a big issue that caused by reusing similar pilot sequence at cells, which also restrict the performance of network and cannot be reduced through maximizing the NoA [1]. Pilot or channel allocation is the effective process to minimize the PC [18][19][20]. In paper [21], proposed a pilot sequence based allocation approach in order to mitigate the consequence of PC in massive MIMO system; firstly derived the sum rate of uplink system when the BS antennas tend to infinity.…”

Section: Literature Surveymentioning

confidence: 99%

Network efficiency enhancement by reactive channel state based allocation scheme

Umesh

Swamy

2020

IJECE

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Now a day the large MIMO has considered as the efficient approach to improve the spectral and energy efficiency at WMN. However, the PC is a big issue that caused by reusing similar pilot sequence at cells, which also restrict the performance of massive MIMO network. Here, we give the alternative answer, where each of UEs required allotting a channel sequences before passing the payload data, so as to avoid the channel collision of inter-cell. Our proposed protocol will ready to determine the channel collisions in distributed and scalable process, however giving unique properties of the large MIMO channels. Here we have proposed a RCSA (Reactive channel state based allocation) scheme, which will very productively work with the RAP blockers at large network of MIMO. The position of time-frequency of RAP blocks is modified in the middle of the adjacent cells, because of this design decision the RAP defend from the hardest types of interference at inter-cell. Further, to validate the performance of our proposed scheme it will be compared with other existing technique.

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Section: Literature Surveymentioning

confidence: 99%

Network efficiency enhancement by reactive channel state based allocation scheme

Umesh

Swamy

2020

IJECE

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“…To maximize the sum rate of orthogonal frequency division multiplexing-based CWSNs, a GA was proposed by Lai et al [ 29 ] to solve the subcarrier pairing, PA, and RS problems of the system. A GA-based pilot allocation scheme for a massive MIMO system was studied by Zhang et al [ 30 ] in which the sum rate is maximized under the proposed scheme. In CCRNs, a GA for MRS and PA for two-way relaying was studied by Ahmad et al [ 31 ] in which the sum rate of the networks is maximized by satisfying the transmission power and interference requirements of the networks.…”

Section: Related Workmentioning

confidence: 99%

“…To solve the optimization problem in Equation ( 20 ), in the paper we adopt a general GA which includes the initialization of the population, evaluation of fitness function, and some genetic operations, such as the selection, crossover, and mutation [ 27 , 28 , 29 ]. The GA also requires a repeated iteration process until a near-optimal solution is obtained by the algorithm [ 30 , 31 ]. A pseudo-code of the GA can be given as in Algorithm 1 [ 31 ].…”

Section: The Proposed Ga-based Mrs and Pa Scheme For Ccrnsmentioning

confidence: 99%

Joint Relay Selection and Power Allocation through a Genetic Algorithm for Secure Cooperative Cognitive Radio Networks

Rahman

Lee

Koo

2018

Sensors

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In cooperative cognitive radio networks (CCRNs), there has been growing demand of transmitting secondary user (SU) source information secretly to the corresponding SU destination with the aid of cooperative SU relays. Efficient power allocation (PA) among SU relays and multi-relay selection (MRS) are a critical problem for operating such networks whereas the interference to the primary user receiver is being kept below a tolerable level and the transmission power requirements of the secondary users are being satisfied. Subsequently, in the paper, we develop the problem to solve the optimal solution for PA and MRS in a collaborative amplify-and-forward-based CCRNs, in terms of maximizing the secrecy rate (SR) of the networks. It is found that the problem is a mixed integer programming problem and difficult to be solved. To cope with this difficulty, we propose a meta-heuristic genetic algorithm-based MRS and PA scheme to maximize the SR of the networks while satisfying transmission power and the interference requirements of the networks. Our simulation results reveal that the proposed scheme achieves near-optimal SR performance, compared to the exhaustive search scheme, and provides a significant SR improvement when compared with some conventional relay selection schemes with equal power allocation.

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“…A one-dimensional genetic algorithm was used as a pilot assignment method in massive MIMO systems as in [13] and showed improvement in performance compared with random pilot assignment, greedy pilot assignment, and TS pilot assignment methods. However, it requires many number of iterations to converge to the ideal optimal solution.…”

Section: Introductionmentioning

confidence: 99%

A new pilot assignment scheme for mitigating pilot contamination in uplink massive MIMO systems

Gidena,

Weldemichael

2023

Preprint

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Pilot contamination is a serious issue in massive multi-input-multi-output (MIMO) systems which significantly degrades system performance. In this paper, we investigate a new pilot assignment scheme by integrating two-dimensional genetic algorithm (2D-GA) with Tabu-Search algorithm (TS) to mitigate the pilot contamination problem. Firstly, we design a two-dimensional genetic algorithm equipped with elitism strategy as a principal algorithm for solving the pilot assignment problem; then, aiming to enhance the convergence speed of the genetic algorithm to the ideal optimal solution, we integrate TS with the genetic algorithm. This integrated pilot assignment scheme, henceforth designated as GATS-PA, is found to be powerful in mitigating the pilot contamination problem. Numerical simulation results verify that the proposed pilot assignment scheme is very close to the ideal optimal solution with only few number of iterations and outperforms existing methods in terms of enhancing the uplink sum-rate and average rate over a wide range of simulation parameters.

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Genetic algorithm based pilot allocation scheme for massive MIMO system

Cited by 6 publications

References 11 publications

Network efficiency enhancement by reactive channel state based allocation scheme

Network efficiency enhancement by reactive channel state based allocation scheme

Joint Relay Selection and Power Allocation through a Genetic Algorithm for Secure Cooperative Cognitive Radio Networks

A new pilot assignment scheme for mitigating pilot contamination in uplink massive MIMO systems

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