QoE Power-Efficient Multimedia Delivery Method for LTE-A

Mellouk, Abdelhamid; Augustin, Brice; Fowler, Scott

doi:10.1109/jsyst.2015.2435994

Cited by 20 publications

(4 citation statements)

References 23 publications

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“…Nguyen et al [15] further showed several benefits of TCP congestion protocol algorithms in controlling congested traffic. Moreover, TCP CUBIC was described as the next generation of algorithms with good behavior in controlling congestion towards providing better throughput results; while TCP YeAh was illustrated as the congestion control algorithm with an ability to adjust itself in two kinds of conditions: long and short round-trip time (RTT) [16]- [18]. It acts as TCP New Reno in long RTT by prioritizing network connection stability through a reduction in the delay, which also decreases the throughput as a form of tradeoff.…”

Section: Related Workmentioning

confidence: 99%

Evaluation of HMIPv6 Algorithm in 5G Mmwave Single and Dual Connectivity Handover Network

Perdana

Paranaditha

Sulistyowati

et al. 2022

IEEE Systems Journal

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In this article, we analyzed a Handover Mobile IPv6 (HMIPv6) algorithm under conditions of 5G millimeter wave (mmWave) single and dual connectivity. A single connectivity enables handover between 5G base stations. Meanwhile, a dual connectivity is a handover occurred from a 4G base station to a 5G base station. In sending data, TCP has a congestion control algorithm that allows TCP to handle any congestion problems on the network. In this article, we analyzed the HMIPv6 performance using TCP YeAH and TCP CUBIC with various user equipment (UE) speeds. It showed that each TCP had a fairly stable delay and throughput under the condition of the single connectivity handover with an average delay of 192.8196 ms and average throughput of 52.8812 Mb/s. Whereas, in the dual connectivity handover condition, each TCP had a fluctuating delay and throughput directly proportional to the increasing UE speed. Therefore, TCP YeAH dominated the stability in dual connectivity with an average delay of 221.4226 ms and average throughput of 44.4004 Mb/s. Overall, this article found that TCP YeAH performed better than TCP CUBIC in both the single connectivity and dual connectivity handovers.

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Section: Related Workmentioning

confidence: 99%

Evaluation of HMIPv6 Algorithm in 5G Mmwave Single and Dual Connectivity Handover Network

Perdana

Paranaditha

Sulistyowati

et al. 2022

IEEE Systems Journal

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“…QoE is highly applicationand user-specific with an adequate level of reliability. It is required in 5G to provide end users with better experience and satisfaction in a wireless network [41], [68], [69].…”

Section: B Performance Requirements Of 5g Wireless Networkmentioning

confidence: 99%

Combination of Ultra-Dense Networks and Other 5G Enabling Technologies: A Survey

2020

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Recently, to address the astonishing capacity requirement of 5G, researchers are investigating the possibility of combining different technologies with ultra-dense networks (UDNs). However, the ultradense deployment of small cells in the coverage area of conventional macrocells known as UDNs introduces new technical challenges such as severe interference, unfairness in radio resource sharing, unnecessary handover, a significant increase in energy consumption, and degraded quality-of-service (QoS). To overcome these challenges and achieve the performance requirements in 5G, there is a need to combine UDNs with other 5G enabling technologies and then, design intelligent management techniques for better performance of the overall networks. Hence, in this paper, we present a comprehensive survey on different generations of wireless networks, 5G new radio (NR) standards, 5G enabling technologies and the importance of combining UDNs with other 5G technologies. Also, we present an extensive overview of the recent advances and research challenges in intelligent management techniques and backhaul solutions in the last five years for the combination of UDNs and other enabling technologies that offers the visions of 5G. We summarise the mathematical tools widely exploited in solving these problems and the performance metrics used to evaluate the intelligent management algorithms. Moreover, we classify various intelligent management algorithms according to the adopted enabling technologies, benefits, challenges addressed, mathematical tools and performance metrics used. Finally, we summarise the open research challenges, provide design guidelines and potential research directions for the development of intelligent management techniques and backhaul solutions for the combination of UDNs and other 5G technologies. INDEX TERMS Macrocells, small cells, ultra-dense networks, QoS.

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“…To address (23) through ALM, the Lagrangian function can be given by ( 24) on top of the next page. By updating the Lagrangian multipliers following [16] after some iterations, the duality gap will be zero, Karush-Kuhn-Tucker (KKT) conditions hold which yields a sub-optimal solution [17].…”

Section: (20)mentioning

confidence: 99%

“…Fig. 2(c) shows the convergence behavior of proposed algorithm for two values of the number of subcarriers with related rating factor [23] in each case is calculated. In Fig.…”

Section: ) Web Service Assessmentmentioning

confidence: 99%

Joint Transmission in QoE-Driven Backhaul-Aware MC-NOMA Cognitive Radio Network

Zarini

Khalili

Tabassum

et al. 2020

GLOBECOM 2020 - 2020 IEEE Global Communications Conference

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In this paper, we develop a resource allocation framework to optimize the downlink transmission of a backhaulaware multi-cell cognitive radio network (CRN) which is enabled with multi-carrier non-orthogonal multiple access (MC-NOMA). The considered CRN is composed of a single macro base station (MBS) and multiple small BSs (SBSs) that are referred to as the primary and secondary tiers, respectively. For the primary tier, we consider orthogonal frequency division multiple access (OFDMA) scheme and also Quality of Service (QoS) to evaluate the user satisfaction. On the other hand in secondary tier, MC-NOMA is employed and the user satisfaction for web, video and audio as popular multimedia services is evaluated by Quality-of-Experience (QoE). Furthermore, each user in secondary tier can be served simultaneously by multiple SBSs over a subcarrier via Joint Transmission (JT). In particular, we formulate a joint optimization problem of power control and scheduling (i.e., user association and subcarrier allocation) in secondary tier to maximize total achievable QoE for the secondary users. An efficient resource allocation mechanism has been developed to handle the non-linear form interference and to overcome the non-convexity of QoE serving functions. The scheduling and power control policy leverage on Augmented Lagrangian Method (ALM). Simulation results reveal that proposed solution approach can control the interference and JT-NOMA improves total perceived QoE compared to the existing schemes.

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QoE Power-Efficient Multimedia Delivery Method for LTE-A

Cited by 20 publications

References 23 publications

Evaluation of HMIPv6 Algorithm in 5G Mmwave Single and Dual Connectivity Handover Network

Evaluation of HMIPv6 Algorithm in 5G Mmwave Single and Dual Connectivity Handover Network

Combination of Ultra-Dense Networks and Other 5G Enabling Technologies: A Survey

Joint Transmission in QoE-Driven Backhaul-Aware MC-NOMA Cognitive Radio Network

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