Enhancing link quality in a multi-hop relay in LTE-A employing directional antenna

Aldhaibani, Jaafar A.; Yahya, Abid; Ahmad, Robiah; Ali, Zaid G.; Fayadh, Rashid A.

doi:10.1109/rfm.2013.6757227

Cited by 7 publications

(2 citation statements)

References 5 publications

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“…However, this kind of solution will increase the infrastructure cost of the system. The multi‐hop relaying system has less complexity and lower installation costs when compared with increasing the number of BSs, to enhance the quality of a wireless system [3–5, 15, 16]. In a multi‐hop relaying system, low‐quality long‐distance links are broken into two or more high‐quality links.…”

Section: Introductionmentioning

confidence: 99%

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Performance enhancement of multi‐hop relay‐based wireless systems based on outage probability

Baroudi

Shayan

2016

IET Communications

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Section: Introductionmentioning

confidence: 99%

“…In [15], the authors propose a new approach for enhancing the quality of the link between the relay node and the BS. In [3], the authors find the optimum placement of the relay to extend the coverage area.…”

Section: Introductionmentioning

confidence: 99%

Performance enhancement of multi‐hop relay‐based wireless systems based on outage probability

Baroudi

Shayan

2016

IET Communications

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Path selection with Nash Q‐learning for remote state estimation over multihop relay network

Zhang

Gan

Shao

et al. 2020

Intl J Robust & Nonlinear

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SummaryIn this article, the security issue of remote state estimation is investigated for multihop relay networks interrupted by an attacker launching denial‐of‐service attacks. Since the presence of the relay enriches the communication topology, there might exist several paths connecting the sensor and the estimator, consisting of the corresponding channels. Thus, it is reasonable for the sensor to select the path with a lower dropout rate to enhance the system performance measured by the estimation error, due to the dropout rate changing with the channel. However, as an adversary, the objective of the jammer is to deteriorate the corresponding performance through launching attack on the communication path selectively. For addressing the problem on the behalf of both of the sensor and the jammer, we first formulate this problem as a two‐player zero‐sum stochastic game model, and then present a Nash Q‐learning algorithm to explore the equilibrium point for both players, under the assumption that both of them are rational players. Furthermore, the existence of equilibrium point for this problem is proved analytically. Moreover, a more general case of the channel attack, under which the jammer can attack any channels among this network, is considered. Finally, numerical results are presented to verify the effectiveness of the algorithm proposed and the theorem results.

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Spectrally Efficient Frequency Reuse With Higher Order Sectorisation and Directional Relays in a Two-Hop Relay Network

Ishrat,

Martin,

Woodward

et al. 2024

IEEE Access

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Enhancing link quality in a multi-hop relay in LTE-A employing directional antenna

Cited by 7 publications

References 5 publications

Performance enhancement of multi‐hop relay‐based wireless systems based on outage probability

Performance enhancement of multi‐hop relay‐based wireless systems based on outage probability

Path selection with Nash Q‐learning for remote state estimation over multihop relay network

Spectrally Efficient Frequency Reuse With Higher Order Sectorisation and Directional Relays in a Two-Hop Relay Network

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