• 제목/요약/키워드: Signal-to-Interference and Noise Ratio

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LTE-Advanced에서 프리코딩에 의한 효율적인 상향링크 적응 방식 (Efficient Link Adaptation Scheme using Precoding for LTE-Advanced Uplink MIMO)

  • 박옥선;안재민
    • 한국통신학회논문지
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    • 제36권2B호
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    • pp.159-167
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    • 2011
  • LTE-Advanced 시스템은 최대 15bps/Hz의 주파수 효율을 달성하기 위해 상향링크 다중 안테나 전송을 지원해야 한다 본 논문은 LTE-Advanced 상향링크 MIMO 시스템 구조를 제안하고 프리코딩에 의한 링크 적응방식을 고려하여 단말당 오류율을 줄이고 시스템 용량을 향상시키는데 기여할 수 있다 특히, $2{\times}4$ MIMO 시스템에서 최적의 프리코딩 행렬을 선택하여 랭크를 결정하는 방식을 제안하고 MMSE(minimum mean squared error) 수신기에 대한 SINR(signal-to-interference and noise ratio)을 유도한다. 제안 방식의 성능 검증을 위해 실질적인 MIMO 채널 모델에서 BLER(BLock Error Rate) 시뮬레이션을 수행한다. 제안 방식이 full-rank로 고정해서 보내는 경우 보다 더 좋은 성능을 발휘하며 MCS가 낮거나 고속 이동시에 더 큰 이득을 얻을 수 있다.

Deep reinforcement learning for base station switching scheme with federated LSTM-based traffic predictions

  • Hyebin Park;Seung Hyun Yoon
    • ETRI Journal
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    • 제46권3호
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    • pp.379-391
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    • 2024
  • To meet increasing traffic requirements in mobile networks, small base stations (SBSs) are densely deployed, overlapping existing network architecture and increasing system capacity. However, densely deployed SBSs increase energy consumption and interference. Although these problems already exist because of densely deployed SBSs, even more SBSs are needed to meet increasing traffic demands. Hence, base station (BS) switching operations have been used to minimize energy consumption while guaranteeing quality-of-service (QoS) for users. In this study, to optimize energy efficiency, we propose the use of deep reinforcement learning (DRL) to create a BS switching operation strategy with a traffic prediction model. First, a federated long short-term memory (LSTM) model is introduced to predict user traffic demands from user trajectory information. Next, the DRL-based BS switching operation scheme determines the switching operations for the SBSs using the predicted traffic demand. Experimental results confirm that the proposed scheme outperforms existing approaches in terms of energy efficiency, signal-to-interference noise ratio, handover metrics, and prediction performance.

Transceiver Optimization for the Multi-Antenna Downlink in MIMO Cognitive System

  • Zhu, Wentao;Yang, Jingbo;Jia, Tingting;Liu, Xu
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제9권12호
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    • pp.5015-5027
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    • 2015
  • Transceiver optimization in multiple input multiple output (MIMO) cognitive systems is studied in this paper. The joint transceiver beamformer design is introduced to minimize the transmit power at secondary base station (SBS) while simultaneously controlling the interference to primary users (PUs) and satisfying the secondary users (SUs) signal-to-interference-plus-noise ratio (SINR) based on the convex optimization method. Due to the limited cooperation between SBS and PUs, the channel state information (CSI) usually cannot be obtained perfectly at the SBS in cognitive system. In this study, both perfect and imperfect CSI scenarios are considered in the beamformer design, and the proposed method is robust to CSI error. Numerical results validate the effectiveness of the proposed algorithm.

A game theory approach for efficient power control and interference management in two-tier femtocell networks based on local gain

  • Al-Gumaei, Y. A.;Noordin, K. A.;Reza, A. W.;Dimyati, K.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제9권7호
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    • pp.2530-2547
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    • 2015
  • In the recent years, femtocell technology has received a considerable attention due to the ability to provide an efficient indoor wireless coverage as well as enhanced capacity. However, under the spectrum sharing between femtocell user equipment (FUEs) and the owner of spectrum macrocell user equipment (MUEs), both may experience higher uplink interference to each other. This paper proposes a novel distributed power control algorithm for the interference management in two-tier femtocell networks. Due to the assignment of licensed radio frequency to the outdoor macrocell users, the access priority of MUEs should be higher than FUEs. In addition, the quality of service (QoS) of MUEs that is expressed in the target signal-to-interference-plus-noise ratio (SINR) must always be achieved. On the other hand, we consider an efficient QoS provisioning cost function for the low-tier FUEs. The proposed algorithm requires only local information and converges even in cases where the frontiers of available power serve the target SINRs impossible. The advantage of the algorithm is the ability to implement in a distributed manner. Simulation results show that the proposed algorithm based on our cost function provides effective resource allocation and substantial power saving as compared to the traditional algorithms.

Interference-Aware Channel Assignment Algorithm in D2D overlaying Cellular Networks

  • Zhao, Liqun;Wang, Hongpeng;Zhong, Xiaoxiong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권4호
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    • pp.1884-1903
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    • 2019
  • Device-to-Device (D2D) communications can provide proximity based services in the future 5G cellular networks. It allows short range communication in a limited area with the advantages of power saving, high data rate and traffic offloading. However, D2D communications may reuse the licensed channels with cellular communications and potentially result in critical interferences to nearby devices. To control the interference and improve network throughput in overlaid D2D cellular networks, a novel channel assignment approach is proposed in this paper. First, we characterize the performance of devices by using Poisson point process model. Then, we convert the throughput maximization problem into an optimal spectrum allocation problem with signal to interference plus noise ratio constraints and solve it, i.e., assigning appropriate fractions of channels to cellular communications and D2D communications. In order to mitigate the interferences between D2D devices, a cluster-based multi-channel assignment algorithm is proposed. The algorithm first cluster D2D communications into clusters to reduce the problem scale. After that, a multi-channel assignment algorithm is proposed to mitigate critical interferences among nearby devices for each D2D cluster individually. The simulation analysis conforms that the proposed algorithm can greatly increase system throughput.

A Comparative Study on Interference-Limited Two-Way Transmission Protocols

  • Xia, Xiaochen;Zhang, Dongmei;Xu, Kui;Xu, Youyun
    • Journal of Communications and Networks
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    • 제18권3호
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    • pp.351-363
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    • 2016
  • This paper investigates the performance of interference-limited two-way transmission protocols in the Rayleigh fading channels. New lower bound of outage probability and approximate expression of bit error rate (BER) for three-phase two-way relaying (3P-TWR) protocol are derived in closed-form. These expressions are valid for arbitrary signal-to-noise ratio values, numbers of co-channel interferers and amajority of modulation formats employed in the practical system. Then a comparative study is developed for the performance of three two-way transmission protocols, i.e., direct transmission (DT) protocol, two-phase two-way relaying (2P-TWR) protocol and 3P-TWR protocol based on the asymptotic expressions of outage probability and BER. On the basis of the theoretical results, the thresholds on the strength (variance) of direct channel and target rate for the relative performance of different protocols are obtained and the effect of interferences at the terminal and relay on the relative performance is analyzed. The results present key insights on how to choose proper two-way transmission protocol with the knowledge of fading channels, required date rate and modulation format to optimize the system performance in the practical interference-limited scenarios. Simulation results are presented to validate the theoretical analysis.

Sequential Optimization for Subcarrier Pairing and Power Allocation in CP-SC Cognitive Relay Systems

  • Liu, Hongwu;Jung, Jaijin;Kwak, Kyung Sup
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제8권5호
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    • pp.1638-1653
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    • 2014
  • A sequential optimization algorithm (SOA) for resource allocation in a cyclic-prefixed single-carrier cognitive relay system is proposed in this study. Both subcarrier pairing (SP) and power allocation are performed subject to a primary user interference constraint to minimize the mean squared error of frequency-domain equalization at the secondary destination receiver. Under uniform power allocation at the secondary source and optimal power allocation at the secondary relay, the ordered SP is proven to be asymptotically optimal in maximizing the matched filter bound on the signal-to-interference-plus-noise ratio. SOA implements the ordered SP before power allocation optimization by decoupling the ordered SP from the power allocation. Simulation results show that SOA can optimize resource allocation efficiently by significantly reducing complexity.

Exact Performance Analysis of AF Based Hybrid Satellite-Terrestrial Relay Network with Co-Channel Interference

  • Javed, Umer;He, Di;Liu, Peilin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제9권9호
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    • pp.3412-3431
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    • 2015
  • This paper considers the effect of co-channel interference on hybrid satellite-terrestrial relay network. In particular, we investigate the problem of amplify-and-forward (AF) relaying in hybrid satellite-terrestrial link, where the relay is interfered by multiple co-channel interferers. The direct link between satellite and terrestrial destination is not available due to masking by surroundings. The destination node can only receive signals from satellite with the assistance of a relay node situated at ground. The satellite-relay link is assumed to follow the shadowed Rice fading, while the channels of interferer-relay and relay-destination links experience Nakagami-m fading. For the considered AF relaying scheme, we first derive the analytical expression for the moment generating function (MGF) of the output signal-to-interference-plus-noise ratio (SINR). Then, we use the obtained MGF to derive the average symbol error rate (SER) of the considered scenario for M-ary phase shift keying (M-PSK) constellation under these generalized fading channels.

D2D 통신에서 사이드링크를 위한 DFT 기반 채널 추정 기법 (DFT-based Channel Estimation Scheme for Sidelink in D2D Communication)

  • 문상미;추명훈;김한종;김대진;김철성;황인태
    • 전자공학회논문지
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    • 제52권12호
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    • pp.22-31
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    • 2015
  • 최근, 3GPP (3rd Generation Partnership Project) 에서는 폭발적으로 증가하고 있는 모바일 데이터 트래픽을 수용하기 위하여 기기 간 직접(Device-to-Device, D2D) 통신을 개발하고 이에 대한 연구가 활발히 진행되고 있다. D2D 통신을 위해 이용되는 링크를 사이드링크라 하며, 사이드링크는 낮은 PAPR (Peak to Average Power Ratio)을 위해 SC-FDMA (Single Carrier-Frequency Division Multiple Access)를 기반으로 한다. 또한, DMRS (DeModulation Reference Signal)를 사용함으로써 MIMO (Multiple Input Multiple Output) 전송이 가능하게 한다. 본 논문에서는 D2D 통신에서 사이드링크를 위한 DFT 기반 채널 추정 기법을 제안한다. 제안 기법은 빠른 속도로 움직이는 사용자의 채널 추정이 가능하도록 2-D MMSE (2-Dimensional Minimum Mean Square Error) 보간 기법을 사용한다. 시스템 레벨 시뮬레이션은 3GPP LTE-Advanced 시스템의 20MHz 대역을 기반으로 이루어 졌으며, 시뮬레이션 결과 제안한 채널 추정 기법을 통해 기존 기법보다 SINR(Signal-to-Interference-plus-Noise Ratio), 전송률 및 스펙트럼 효율 측면에서 성능 향상을 가져다주는 것을 확인하였다.

LTE-A 하향링크 시스템을 위한 새로운 FFT 기반 채널 추정 기법 (FFT-based Channel Estimation Scheme in LTE-A Downlink System)

  • 문상미;추명훈;김한종;김대진;황인태
    • 전자공학회논문지
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    • 제53권3호
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    • pp.11-20
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    • 2016
  • 본 논문에서는 LTE-A (Long Term Evolution-Advanced) 하향링크 시스템을 위한 채널 추정 기법을 제안한다. 제안 기법은 빠른 속도로 움직이는 사용자의 채널 추정이 가능하도록 FFT (Fast Fourier Transform) 보간 기법을 사용한다. FFT 보간 기법은 LS (Least Square) 또는 MMSE (Minimum Mean Square Error) 채널 추정으로부터 얻은 채널 주파수 응답을 IFFT (Inverse FFT)를 거쳐 시간 영역 채널 임펄스 응답으로 변환한다. 시간 영역의 채널 응답을 윈도잉을 한 후, FFT를 하여 채널 주파수 응답을 구할 수 있다. 시스템 레벨 시뮬레이션은 3GPP LTE-A 하향링크 시스템의 20MHz 대역을 기반으로 이루어졌으며, 모의실험 결과 제안한 채널 추정 기법을 통해 기존 시스템보다 SINR (Signal-to-Noise-plus-Interference Ratio), 전송률 및 스펙트럼 효율 측면에서 성능 향상을 가져다주는 것을 확인하였다.