As the number of sensing nodes increases, cooperative spectrum sensing increases the detection probability of primary users at the cost of increased bandwidth of feedback channels. However, the excess feedback overhead of reporting sensing results may degrade the channel utilization of cognitive radio networks. This letter proposes cooperative spectrum sensing with a fixed number of feedback channels, where each sensing node opportunistically reports its sensing result to a fusion center via shared feedback channels only if its sensing result is greater than a threshold. The simulation results show that the proposed cooperative spectrum sensing increases the channel utilization with limited feedback overhead compared with the conventional cooperative spectrum sensing.
해양 산업과 IT기술의 융합으로 해양 네트워크 시스템에 적용하기 위한 여러 가지 무선통신 기술들이 논의됨에 따라, 본 논문에서는 선박 간의 안정적인 통신을 위한 HARQ-ARQ interaction 기법을 제안하고, 모의실험을 통해 성능을 평가하였다. HARQ-ARQ interaction 기법에서 선박은 HARQ 피드백으로 ARQ 피드백을 대체함으로써, ARQ 블록의 재전송 시간을 단축시킨다. 그러나 HARQ 피드백 오류로 인하여 HARQ-ARQ interaction 기법에서 성능 열화가 발생할 수 있다. 따라서 본 논문은 HARQ-ARQ interaction 기법을 사용할 때 HARQ 피드백 메시지의 오류가 미치는 영향을 고려한다. 모의실험을 통하여 해양 네트워크 시스템에서 HARQ-ARQ interaction 기법을 사용함으로써 지연 성능을 향상시키는 것을 확인하였다. As the wireless communication technologies are being studied for application to marine communication networks in a fusion of marine industries and IT technology, this paper proposes a HARQ-ARQ interaction scheme for reliable communication between the smart ships. Moreover, this paper evaluates the performance of the HARQ-ARQ interaction schemes through the computer simulation. In the HARQ-ARQ interaction scheme for marine network systems, as a HARQ acknowledgement is implicitly utilized as an ARQ acknowledgement. Hence, the HARQ-ARQ interaction scheme can reduce the packet delay. However, the HARQ-ARQ interaction scheme has problems caused by the error of HARQ feedback messages. Hence, this paper considers the effect of error of HARQ feedback messages on the performance of the HARQ-ARQ interaction scheme, in marine network systems. The simulation results show that the HARQ-ARQ interaction scheme can improve the delay performance of the ships in the marine network systems.
Spectrum sensing is a key component of cognitive radio.The prediction of the primary user status in a low signal-to-noise ratio is an important factor in spectrum sensing.However, because of noise uncertainty, secondary users have difficulty distinguishing between the primary signal and an unauthorized signal when an unauthorized user exists in a cognitive radio network.To resolve the sensitivity to the noise uncertainty problem, we propose an entropy-based spectrum sensing scheme to detect the primary signal accurately in the presence of an unauthorized signal.The proposed spectrum sensing uses the conditional entropy between the primary signal and the unauthorized signal.The ability to detect the primary signal is thus robust against noise uncertainty, which leads to superior sensing performance in a low signal-to-noise ratio.Simulation results show that the proposed spectrum sensing scheme outperforms the conventional entropy-based spectrum sensing schemes in terms of the primary user detection probability.
In this paper, we propose a direct-sequence spread spectrum multiple access (DS/SSMA) unslotted ALOHA system with two user classes and analyze the throughput of the proposed system. Mobile stations (MSs) are divided into two classes according to priority or traffic characteristics such as delay-intolerant and delay-tolerant. Different permission probabilities are assigned to each class so that the appropriate quality of service can be provided. We assume that the generation of class 1 and 2 messages are Poisson distributed and the message is divided into several packets before transmission. The system is modeled as a two-dimensional Markov chain under the assumption that the number of packets transmitted immediately by both user classes is geometrically distributed and the packet length is constant. We calculate the packet success probability and the throughput as a function of the signal-to-noise ratio (SNR) during packet transmission, considering the number of overlapped class 1 and 2 messages and the amount of their time overlap. Moreover, we show that the proposed system differentiates user messages according to class and maintains a high throughput even under heavy traffic conditions using access control based on the channel load.
As the number of Internet of things (IoT) devices increases exponentially, scheduling and managing the radio resources for IoT devices has become more important. To efficiently allocate radio resources, the base station (BS) needs the channel state information (CSI) of devices every time. Hence, each device needs to periodically (or aperiodically) report its channel quality indicator (CQI) to the BS. The BS determines the modulation and coding scheme (MCS) based on the CQI reported by the IoT device. However, the more a device reports its CQI, the more the feedback overhead increases. In this paper, we propose a long short-term memory (LSTM)-based CQI feedback scheme, where the IoT device aperiodically reports its CQI relying on an LSTM-based channel prediction. Additionally, because the memory capacity of IoT devices is generally small, the complexity of the machine learning model must be reduced. Hence, we propose a lightweight LSTM model to reduce the complexity. The simulation results show that the proposed lightweight LSTM-based CSI scheme dramatically reduces the feedback overhead compared with that of the existing periodic feedback scheme. Moreover, the proposed lightweight LSTM model significantly reduces the complexity without sacrificing performance.
조선 산업과 IT의 융합으로 인해 선박에서의 데이터 사용량이 계속적으로 증가할 것으로 예상됨에 따라, 많은 양의 데이터를 처리하기 위한 여러 무선통신 기술들이 논의되고 있다. 특히 다중 안테나 시스템은 높은 수율을 제공할 것으로 기대되는 기술 중 하나이다. 본 논문에서는 공간 다중화 해양 통신 시스템에서 채널 특성과 기지국의 빔 전송 각도를 고려하여 기지국이 서비스 할 선박을 선택하는 알고리듬을 제안한다. 무선 채널의 클러스터링 특성을 이용하여 선박이 수신 받는 신호를 최대화하는 방식으로 시스템의 수율을 증가시켰다. 또한 빔 간섭이 큰 선박을 제외하고 선택하는 방식으로 선박 선택에 걸리는 시간을 단축시켰다. 제안하는 알고리듬의 성능 분석을 위해 모의실험 한 결과, 제안하는 알고리듬의 수율은 전수조사 알고리듬과 근사하지만 연산의 복잡성은 크게 줄어드는 것을 확인할 수 있다. As the data traffic between ships and a land station continuously increase through the shipbuilding-IT convergence, several wireless communication technologies are being studied to process large amounts of data traffic. In particular, the multi-antenna system is one of the most expected technologies to provide high throughput. This paper proposes an algorithm for the base station to select the ship in consideration of channel characteristics and the transmission angle for a beam of the land station in spatial multiplexing marine communication systems. We increase the system capacity by maximizing the received signal strength of the ship using clustering characteristic of the radio channel. Also, we reduce the time to select the ship by excluding the ship with the large interference between the beams. On our computer simulation, the proposed scheme dramatically reduces the computational complexity with a little sacrifice of the throughput.
In this paper, we propose an optimal cooperative sensing technique for cognitive radio to maximize sensing performance based on energy detection. In most spectrum sensing research, many cooperation methods have been proposed to overcome the sensitivity of energy detection so that both primary and secondary users are better off in terms of spectral efficiency. However, without assigning a proper sensing threshold to each sensing node, cooperation may not be effective unless the received average primary user signal-to-noise ratio (SNR) is identical. We show that equal threshold energy detection severely degrades sensing performance when cooperative sensing nodes experience diverse average SNRs, and it is not unusual for even single-node sensing to be better than cooperative sensing. To this end, based on the Neyman-Pearson criterion we formulate an optimization problem to maximize sensing performance by using optimized thresholds. Since this is a non-convex optimization problem, we provide a condition that convexifies the problem and thus serves as a sufficient optimality condition. We find that, perhaps surprisingly, in all practical cases one may consider this condition satisfied, and thus optimal sensing performance can be obtained. Through extensive simulations, we demonstrate that the proposed technique achieves a globally optimal solution, i.e., it maximizes the probability of detection under practical operating parameters such as the target probability of false alarm, different SNRs, and the number of cooperative sensing nodes.
해양 산업과 IT 기술의 융합으로 해상 통신에 대한 여러 무선통신 기술들이 논의됨에 따라 채널 선택에 따른 간섭 제어, 시간영역에서 간섭 제어 등 다양한 간섭 제어 방법이 시도되고 있다. 이를 위해 본 논문에서는 다양한 해양 통신 환경에서 시스템의 성능을 측정하고 검증 및 평가할 수 있도록 하향링크 시스템 레벨 시뮬레이터를 구현하였다. 제안하는 시뮬레이터는 기존의 이동통신 시뮬레이터와 달리 해상에서 선박 간 신호간섭을 조정할 수 있도록 3GPP Release 10의 주요 기술 enhanced inter-cell interference coordination(eICIC)을 적용하였다. 또한 개발한 시스템 레벨 시뮬레이터를 사용하여 eICIC의 주요 기술인 almost blank subframes(ABS)와 cell range expansion(CRE) 변화에 따른 소형 셀의 수율 분포를 도출하였다. As the wireless communication technologies are being studied for application to maritime communication networks in a fusion of marine industries and IT technology, interference coordination techniques have been studied in the maritime heterogeneous networks. In this paper, we develop a simulator for measuring, verifying and evaluating performance of a maritime heterogeneous network. Unlike other previous simulators, the developed simulator applies enhanced inter-cell interference coordination (eICIC) that are being introduced in the 3GPP Release 10 for mitigating the cross-tier interference between ships. Furthermore, we investigate the effects of almost blank subframes (ABS) and cell range expansion (CRE) on the throughput of small cells in maritime heterogeneous networks by using the developed simulator.
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