Performance Analysis of Layer 1 Relays

Zheng, Jie; Sartori, P.; Wei, Bing

doi:10.1109/iccw.2009.5208021

Cited by 5 publications

(1 citation statement)

References 4 publications

(3 reference statements)

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“…Zheng et al perform a performance analysis of L1 relays in [55]. Nagata et al investigate the performance of L1 relay and compare it with the performance of L3 relays in [56].…”

Section: Relaysmentioning

confidence: 99%

Qos and security provisioning in 4G/5G LTE-advanced networks

Wahla.¹

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Quality of service (QoS) mechanisms deal with ensuring the high quality services offered by network. Reliability, accessibility and security are some of the main features of any service offered by a network. Support for diverse QoS requirements is one of the key areas of interest in the Long Term Evolution (LTE) and LTE-Advanced based networks. Carrier Aggregation (CA), in which the bandwidth is aggregated across different bands to achieve a higher bandwidth, is one of the most significant among them. Dual Connectivity (DC), Coordinated Multipoint Transmission (CoMP), Device-to-Device Communications (D2D), and Self-Organizing Networks (SON) are some of the other leading technologies introduced in LTE-Advanced. Because of the introduction of these new technologies, existing QoS and security mechanisms in LTE cannot be mapped directly to LTE-Advanced, so there is a need to investigate and develop new mechanisms for LTE-Advanced. The aim of this research is to develop QoS and security provisioning mechanisms for LTE-Advanced based 4G/5G networks The CA technology has introduced new challenges for LTE-Advanced resource matching. Radio Resources Management (RRM) is one of the key elements for QoS provisioning. We have developed a new RRM technique utilizing game theory. Matching Markets are known to solve different resource-matching problems, such as kidney exchange, child adoption, matching doctors, and college admission. We model the problem of resource allocation as a matching game and propose a solution utilizing game theory, which takes into consideration the QoS demand of the users. The allocation is done based on channel conditions, QoS profiles, and carrier selection. The proposed Matching Game (MG) algorithm finds a stable Pareto efficient matching of resource blocks to users. Theoretical i I would like to thank my supervisor, Dr. Maode Ma for his invaluable advice and guidance during this research. His encouragement has helped me to overcome many difficulties during the research. I am also thankful to my family. It would not have been possible without their support. To my parents who have always encouraged and supported me in my pursuits. To my beloved wife Ainee for her unwavering support.

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“…Zheng et al perform a performance analysis of L1 relays in [55]. Nagata et al investigate the performance of L1 relay and compare it with the performance of L3 relays in [56].…”

Section: Relaysmentioning

confidence: 99%