• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2019년도 춘계학술대회
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• pp.286-287
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• 2019

In this paper, we consider an amplify-and-forward (AF) full duplex (FD) massive-antenna relay (or base station) aiding communication between K single-antenna source and destination pairs whose transmissions are overheard by one single-antenna eavesdropper. Maximum ratio combining (MRC) and maximum ratio transmission (MRT) processing is employed at the relay. The secrecy performance of the system is then derived with both relay and destination being equipped with low resolution analog-to-digital converters (ADCs). The results show the detrimental effect of the eavesdropper's presence on the sum rate of the system.

• Journal of Information Processing Systems
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• 제17권6호
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• pp.1083-1096
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• 2021

Compressed sensing-based matching pursuit algorithms can estimate the sparse channel of massive multiple input multiple-output systems with short pilot sequences. Although they have the advantages of low computational complexity and low pilot overhead, their accuracy remains insufficient. Simply multiplying the weight value and the estimated channel obtained in different iterations can only improve the accuracy of channel estimation under conditions of low signal-to-noise ratio (SNR), whereas it degrades accuracy under conditions of high SNR. To address this issue, an improved weighted matching pursuit algorithm is proposed, which obtains a suitable weight value u_op by training the channel data. The step of the weight value increasing with successive iterations is calculated according to the sparsity of the channel and u_op. Adjusting the weight value adaptively over the iterations can further improve the accuracy of estimation. The results of simulations conducted to evaluate the proposed algorithm show that it exhibits improved performance in terms of accuracy compared to previous methods under conditions of both high and low SNR.

• ETRI Journal
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• 제41권5호
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• pp.637-647
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• 2019

Separating highly correlated users can reduce the loss caused by spatial correlation (SC) in multiuser multiple-input multiple-output (MU-MIMO) systems. However, few accurate analyses of the loss caused by SC have been conducted. In this study, we define signal-to-interference-plus-noise ratio (SINR) loss to characterize it in multiuser multiple-input single-output (MU-MISO) systems, and use coefficient of correlation (CoC) to describe the SC between users. A formula is deduced to show the accurate relation between SINR loss and CoC. Based on this relation, we propose a user selection method that utilizes CoC to minimize the average SINR loss of users in massive MU-MISO systems. Simulation results verify the correctness of the relation and show that the proposed user selection method is very effective at reducing the loss caused by SC in massive MU-MISO systems.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권3호
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• pp.794-815
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• 2023

The rapid development of mobile communication not only has made the industry gradually diversified, but also has enhanced the service quality requirements of users. In this regard, it is imperative to consider jointly network slicing and mobile edge computing. The former mainly ensures the requirements of varied vertical services preferably, and the latter solves the conflict between the user's own energy and harsh latency. At present, the integration of the two faces many challenges and need to carry out at different levels. The main target of the paper is to minimize the energy consumption of the system, and introduce a multi-slice joint task offloading and resource allocation scheme for massive multiple input multiple output enabled heterogeneous networks. The problem is formulated by collaborative optimizing offloading ratios, user association, transmission power and resource slicing, while being limited by the dissimilar latency and rate of multi-slice. To solve it, assign the optimal problem to two sub-problems of offloading decision and resource allocation, then solve them separately by exploiting the alternative optimization technique and Karush-Kuhn-Tucker conditions. Finally, a novel slices task offloading and resource allocation algorithm is proposed to get the offloading and resource allocation strategies. Numerous simulation results manifest that the proposed scheme has certain feasibility and effectiveness, and its performance is better than the other baseline scheme.

• 전기전자학회논문지
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• 제25권3호
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• pp.420-424
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• 2021

5G통신의 핵심 기술인 거대다중안테나 시스템은 송신단에서 많은 양의 채널정보가 필요하기 때문에 제한된 채널 피드백을 사용하는 주파수 분할 이중 시스템에서 구현이 어려운 문제점이 있었다. 이러한 문제점을 해결하기 위해 장시간 변하지 않는 채널 상관도 정보를 이용하여 단말 그룹 간 간섭을 제거함으로써 채널정보 요구량을 비약적으로 감소시키는 Joint Spatial Division and Multiplexing(JSDM)기법이 제안되었고, 최근에는 그룹 간 잔여 간섭을 허용함으로써 성능을 더욱 향상시키는 정규화된 JSDM기법이 제안된 바 있다. 하지만 기존 JSDM관련 연구들은 주로 그룹 간 간섭제거에 초점을 두고 설계되었기 때문에, 그룹내 간섭 제거 단계에서 제한적인 피드백을 가정한 보다 실제적인 환경에서 성능분석이 이루어지지 못하였다. 본 논문에서는 JSDM기법과 정규화된 JSDM기법을 제한된 피드백 환경에서 그룹 수와 그룹 내 사용자 수에 따른 성능을 분석하고 시뮬레이션 결과를 통해 정규화된 JSDM기법이 제한된 피드백 환경에서 기존 JSDM대비 더욱 두드러지는 이득을 보임을 입증한다.

• 전자공학회논문지
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• 제51권7호
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• pp.3-8
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• 2014

본 논문에서는 다중 안테나 밀리미터파 시스템에서 하이브리드 빔포밍의 동작 원리를 이해하고, 피드백 에너지를 줄이기 위한 채널 추정 방식 및 하이브리드 빔포밍 방식에 대한 연구를 진행하였다. 밀리미터파 채널에서 각 경로의 에너지는 경로 이득에 의하여 결정된다는 점을 이용하여, 이를 기준으로 제한된 경로의 수를 기반으로 한 채널 피드백 방식을 제안하였다. 또한, 제한된 피드백 시스템에 적합한 하이브리드 빔포밍 방식에 대한 연구도 진행하였다. 모의실험 결과를 통하여 제안한 기법이 기존의 빔포밍 방식에 비하여 데이터 전송율 측면에서 비슷한 성능을 보이면서도 피드백 에너지를 크게 절감시키는 효과를 확인하였다.

• ETRI Journal
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• 제45권6호
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• pp.952-962
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• 2023

In this study, a space-time transmission scheme is proposed to tackle the limitations of channel estimation with orthogonal pilot information in colocated multiple-input multiple-output systems with several transmitting and receiving antennas. Channel information is obtained using orthogonal pilots. Channel estimation introduces pilot heads required to estimate a channel. This leads to bandwidth insufficiency. As a result, trade-offs exist between the number of pilots required to estimate a channel versus spectral efficiency. The detection of data symbols is performed using the maximum likelihood decoding method as it provides a consistent approach to parameter estimation problems. The moment-generating function of the instantaneous signal-to-noise ratio is used to drive an approximate expression of the symbol error rate for the proposed scheme. Furthermore, the order of diversity is less by one than the number of receiver antennas used in the proposed scheme. The effect of the length of a pilot sequence on the proposed scheme's performance is also investigated.

• 전자공학회논문지
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• 제52권8호
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• pp.3-9
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• 2015

본 논문에서는 사용 가능한 최대 송신 전력과 만족해야 하는 최소 전송률에 대한 제한 조건 아래에서, maximal ratio transmission (MRT) 기법 사용 시 다중 사용자 다중 안테나 하향링크 시스템의 에너지 효율을 최대화하는 최적의 안테나 수와 송신 전력을 찾는 알고리즘을 제시한다. 순시 채널에 대한 최적화 문제는 직접 풀기 어려우므로 단말 간 채널의 독립성, 평균 채널 이득, 평균 path loss를 이용하여 근사한다. 근사된 에너지 효율에 대한 최적화 문제는 두 개의 변수를 동시에 고려해야 하는 2차원 최적화 문제가 된다. 우리는 이러한 2차원 최적화 문제를 라그랑지 승수법과 제안하는 알고리즘을 통하여 최적의 안테나 수와 송신 전력을 구한다. 실험을 통해, 제안하는 알고리즘으로 구한 최적의 송신 안테나 수와 송신 전력이 exhaustive search로 찾은 값과 근사함을 확인한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권3호
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• pp.1047-1062
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• 2018

In this paper the problem of massive multiple input multiple output (MIMO) channel estimation with sparsity aware adaptive algorithms for $5^{th}$ generation mobile systems is investigated. These channels are shown to be non-stationary along with being sparse. Non-stationarity is a feature that implies channel taps change with time. Up until now most of the adaptive algorithms that have been presented for channel estimation, have only considered sparsity and very few of them have been tested in non-stationary conditions. Therefore we investigate the performance of several newly proposed sparsity aware algorithms in these conditions and finally propose an enhanced version of RZA-LMS/F algorithm with variable threshold namely VT-RZA-LMS/F. The results show that this algorithm has better performance than all other algorithms for the next generation channel estimation problems, especially when the non-stationarity gets high. Overall, in this paper for the first time, we estimate a non-stationary Rayleigh fading channel with sparsity aware algorithms and show that by increasing non-stationarity, the estimation performance declines.