Spectrum sharing between S-band radar and LTE cellular system: A spatial approach

Khawar, Awais; Abdelhadi, Ahmed; Clancy, T. Charles

doi:10.1109/dyspan.2014.6817773

Cited by 118 publications

(85 citation statements)

References 14 publications

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“…Since (10) also holds, (12) implies that the SO equilibrium strategy is to believe independent on the SU's request. Then, the SU equilibrium strategy is always to request two bands.…”

Section: Signaling Game: Whether It Is Worth Believing the Potentiallmentioning

confidence: 99%

“…Based on these probabilities, we then formulate a signaling game that allows one to determine whether to believe the second agent or not, and then how to engage in spectrum inspection. Since this type of problem can arise in many different scenarios involving spectrum sharing, such as the sharing of spectrum in cognitive radio networks or the sharing of unlicensed bands between two wireless carriers/technologies or the sharing between radar and communication systems [10][11][12], we formulate the problem abstractly as one involving two agents and a set of spectrum bands.…”

Section: Introductionmentioning

confidence: 99%

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Competitive Sharing of Spectrum: Reservation Obfuscation and Verification Strategies

Garnaev

Trappe

2017

Entropy

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Sharing of radio spectrum between different types of wireless systems (e.g., different service providers) is the foundation for making more efficient usage of spectrum. Cognitive radio technologies have spurred the design of spectrum servers that coordinate the sharing of spectrum between different wireless systems. These servers receive information regarding the needs of each system, and then provide instructions back to each system regarding the spectrum bands they may use. This sharing of information is complicated by the fact that these systems are often in competition with each other: each system desires to use as much of the spectrum as possible to support its users, and each system could learn and harm the bands of the other system. Three problems arise in such a spectrum-sharing problem: (1) how to maintain reliable performance for each system-shared resource (licensed spectrum); (2) whether to believe the resource requests announced by each agent; and (3) if they do not believe, how much effort should be devoted to inspecting spectrum so as to prevent possible malicious activity. Since this problem can arise for a variety of wireless systems, we present an abstract formulation in which the agents or spectrum server introduces obfuscation in the resource assignment to maintain reliability. We derive a closed form expression for the expected damage that can arise from possible malicious activity, and using this formula we find a tradeoff between the amount of extra decoys that must be used in order to support higher communication fidelity against potential interference, and the cost of maintaining this reliability. Then, we examine a scenario where a smart adversary may also use obfuscation itself, and formulate the scenario as a signaling game, which can be solved by applying a classical iterative forward-induction algorithm. For an important particular case, the game is solved in a closed form, which gives conditions for deciding whether an agent can be trusted, or whether its request should be inspected and how intensely it should be inspected.

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“…Since (10) also holds, (12) implies that the SO equilibrium strategy is to believe independent on the SU's request. Then, the SU equilibrium strategy is always to request two bands.…”

Section: Signaling Game: Whether It Is Worth Believing the Potentiallmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Competitive Sharing of Spectrum: Reservation Obfuscation and Verification Strategies

Garnaev

Trappe

2017

Entropy

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“…In communication systems usually the channel state information is confined to transmitter by feedback through the receiver mainly in frequency division duplex [2]. Until the feedback will have a reasonable coherence time for the radio frequency channel is greater than two way wireless communication system time, sharing spectrum between wireless communication system and radars can be classified in two domains [3].…”

Section: A Co-operative Rf Environmentmentioning

confidence: 99%

Optimization of Target Detection in Spectrum Sharing Scenario Assuming Distance as Specification Criteria

Somanadh¹

2017

IJRASET

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The demand for spectrum usage is increased which requires new spectrum allotments. For the coexistence of wireless system with the radar systems a dynamic allocation of spectrum method is proposed along with the noise power the communication system power is considered as interference power to the radar system. The communication power effect on radar system as a function of distance is analysed .A multiple input multiple output radar system and MIMO wireless communication system with K base stations are considered. The communication system transmit covariance matrix is designed based on the radar sampling scheme to reduce the effective interference power (EIP) for radar receiver by certain average capacity and transmit power maintained for communication system

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“…또한 최근에는 5GHz Wi-Fi 대역에서 LTE 서비스를 제공하기 위해 LTE 시스 템의 일부 서브프레임을 선택적으로 사용하지 않는 방법 이 제안되었다 [5]. 그리고 다중안테나를 이용하여 간섭채 널 정보에 기반하여 공간적으로 간섭을 제거하는 기술이 레이더와 LTE 시스템간의 주파수 공유를 위해 제안되었 다 [6]. 이러한 …”

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On Frequency Separation among Radio Access Technologies in Heterogeneous Networks

Lee¹,

Jo²

2015

Journal of Internet Computing and Services

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In this paper, we study the coexistence of typical radio access technologies (WiMAX, CDMA, WLAN) in heterogeneous networks. Although the radio accesses employ different frequency band, they can interfere with each other due to out-of-band emission. We compute the minimum adjacent channel interference ratio (ACIR) to satisfy the allowable level of interference, and the resulting minimum frequency separation (guard band) between interfering and victim system. We observe that WiMAX-WLAN coexistence and WiMAX-CDMA coexistence are feasible with at least 20 MHz and 15 MHz guard bands, respectively.

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Spectrum sharing between S-band radar and LTE cellular system: A spatial approach

Cited by 118 publications

References 14 publications

Competitive Sharing of Spectrum: Reservation Obfuscation and Verification Strategies

Competitive Sharing of Spectrum: Reservation Obfuscation and Verification Strategies

Optimization of Target Detection in Spectrum Sharing Scenario Assuming Distance as Specification Criteria

On Frequency Separation among Radio Access Technologies in Heterogeneous Networks

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