Coexistence between radar and LTE-U systems: Survey on the 5 GHz band

Labib, Mina; Reed, Jeffrey H.; Martone, Anothony F.; Zaghloul, Amir I.

doi:10.1109/usnc-ursi-nrsm.2016.7436255

Cited by 26 publications

(18 citation statements)

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“…The empirical estimate of Γ(βi, fj) is formed deterministically using WSMO (Section II-A) and randomly using NSGA-II (Section II-B). The first goal of the SS-MO technique is to adjust βi and fj in order to maximize (2). The receive power is defined as…”

Section: Spectrum Sensing For Radarmentioning

confidence: 99%

“…This auction is just the beginning. Other frequency bands are being considered for auction, including the 5 GHz band (5.15-5.925 GHz), and will have a tremendous impact on government radar systems [2]. Government radar systems that currently operate in an auctioned band are given the choice to relocate or share the band with the commercial wireless devices.…”

Section: Introductionmentioning

confidence: 99%

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Genetic algorithm for adaptable radar bandwidth

Martone

Ranney

Sherbondy

2016

2016 IEEE Radar Conference (RadarConf)

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Abstract-The spectrum sensing, multi-optimization (SS-MO) technique was recently investigated to enhance radar performance when the radar operates in the presence of radio frequency interference (RFI). The SS-MO technique passively monitors the operating band of the radar using spectrum sensing to identify a frequency sub-band with minimal RFI, thus allowing the radar to maintain a high signal to inference plus noise ratio (SINR). Prior results have indicated significant improvement of SINR and PSLR (peak to average sidelobe level ratio) at the cost of a high computational complexity. In this paper, the non-dominated sorting genetic algorithm II (NSGA-II) is used to lower the computational complexity while maintaining performance.

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Section: Spectrum Sensing For Radarmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Genetic algorithm for adaptable radar bandwidth

Martone

Ranney

Sherbondy

2016

2016 IEEE Radar Conference (RadarConf)

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“…It is shown that RFI significantly deteriorates the performance for radar and communication applications. Recently, the design of a coexisting radar-communications (CRC) system is becoming a key mechanism to cope with this challenge, which has been widely used in several scenarios, such as the spectral coexistence of airborne early warning radar systems and time division duplexing long term evolution (TDD-LTE) systems [ 1 ], spectrum sharing between air traffic radars and commercial cellular networks or wireless local area networks (WLAN) [ 2 ], and internet of vehicles [ 3 ]. It is shown that the CRC techniques can enable radar and communication systems to share the same bandwidth by mitigating mutual interference through some common protocols and strategies.…”

Section: Introductionmentioning

confidence: 99%

Novel Cooperative Scheme Based on Joint Band Assignment and Power Allocation for a Coexisting Radar-Communications System

Chen

Liao

Yang

et al. 2021

Sensors

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In this paper, we present a novel cooperative scheme of joint optimal resource allocation, such that the overall performance of the coexisting radar-communications (CRC) system can be improved. In our proposed scheme, target detection and multiuser communication are performed by radar and communication subsystems at the same time, as well as a control center, which is responsible for joint resource management. We aim to minimize the ISLR for target detection and maximize the sum-rate for communications simultaneously by jointly optimizing the band assignment and transmit power allocation. Since the resulting optimization problem involving two performance metrics and a binary constraint is a multiobjective nonconvex problem, a two-tier iterative decomposition (TT-ID) approach is devised to obtain the globally optimal solution. However, compared with the conventional radar signals, the autocorrelation function of the devised radar signal may still have relatively high sidelobes. In particular, when the data transmission becomes the primary purpose of the CRC system, the sidelobe performance gets worse. As a consequence, some weak targets are most likely overshadowed by the adjacent strong targets through the matched filtering at the radar receiver. To address this, a spectral estimation algorithm based on the Bayes Cauchy–Gaussian (Bayes–CG) model is employed to further reduce the range sidelobes of the matched filter output at the radar receiver according to the prior distribution of the desired autocorrelation. Finally, several numerical results are provided to show the merits of the proposed method.

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“…However, most of the available licensed spectrum in lower than 6 GHz bands has already been allocated. The co-existence of multiple access technologies in the 2.4 GHz unlicensed spectrum termed as the industrial, scientific and medical (ISM) band makes it unsuitable for operation of LTE [2]. Therefore, based on the availability across the globe, the 5 GHz unlicensed national information infrastructure (U-NII) band can be used for the operation of LTE based cellular networks with suitable modifications.…”

Section: Introductionmentioning

confidence: 99%

A Survey of Resource Allocation Techniques for Cellular Network’s Operation in the Unlicensed Band

et al. 2020

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With an ever increasing demand for data, better and efficient spectrum operation has become crucial in cellular networks. In this paper, we present a detailed survey of various resource allocation schemes that have been considered for the cellular network’s operation in the unlicensed spectrum. The key channel access mechanisms for cellular network’s operation in the unlicensed bands are discussed. The various channel selection techniques are explored and their operation explained. The prime issue of fairness between cellular and Wi-Fi networks is discussed, along with suitable resource allocation techniques that help in achieving this fairness. We analyze the coverage, capacity, and impact of coordination in LTE-U systems. Furthermore, we study and discuss the impact and discussed the impact of various traffic type, environments, latency, handover, and scenarios on LTE-U’s performance. The new upcoming 5G New Radio and MulteFire is briefly described along with some of the critical aspects of LTE-U which require further research.

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Coexistence between radar and LTE-U systems: Survey on the 5 GHz band

Cited by 26 publications

References 0 publications

Genetic algorithm for adaptable radar bandwidth

Genetic algorithm for adaptable radar bandwidth

Novel Cooperative Scheme Based on Joint Band Assignment and Power Allocation for a Coexisting Radar-Communications System

A Survey of Resource Allocation Techniques for Cellular Network’s Operation in the Unlicensed Band

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