Multiuser Successive Maximum Ratio Transmission (MS-MRT) for Video Quality Maximization in Unicast and Broadcast MIMO OFDMA-Based 4G Wireless Networks

We consider the problem of optimal H.264 scalable video scheduling, with an objective of maximizing the end-user video quality while ensuring fairness in 3G/4G broadband wireless networks and video sensor networks. We propose a novel framework to characterize the video quality-based utility of the H.264 temporal and quality scalable video layers. Subsequently, we formulate the scalable video scheduling framework as a Markov decision process (MDP) for long-term average video utility maximization and derive the optimal index based-scalable video scheduling policies ISVP and ISVPF towards video quality maximization. Further, we extend this framework to multiuser and multisubchannel scenario of 4G wireless networks. In this context, we propose two novel schemes for long-term streaming video quality performance optimization based on maximum weight bipartite and greedy matching paradigms. Simulation results demonstrate that the proposed algorithms achieve superior end-user video experience compared to competing scheduling policies such as Proportional Fairness (PF), Linear Index Policy (LIP), Rate Starvation Age policy (RSA), and Quality Proportional Fair Policy (QPF).

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Layered Broadcast/Multicast mechanism for Spectral-efficient 4G wireless networks

2011 6th International ICST Conference on Communications and Networking in China (CHINACOM) ◽

10.1109/chinacom.2011.6158192 ◽

2011 ◽

Cited By ~ 1

Author(s):

Jingqing Mei ◽

Hong Ji ◽

Yi Li

Keyword(s):

Wireless Networks ◽

4G Wireless

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Modeling Intelligent Inter-Layer Interaction in 4G Wireless Networks

2011 First International Conference on Informatics and Computational Intelligence ◽

10.1109/ici.2011.67 ◽

2011 ◽

Author(s):

Paolo Pileggi ◽

Pieter Kritzinger

Keyword(s):

Wireless Networks ◽

Layer Interaction ◽

4G Wireless

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Training-based and semiblind channel estimation for MIMO systems with maximum ratio transmission

IEEE Transactions on Signal Processing ◽

10.1109/tsp.2006.874780 ◽

2006 ◽

Vol 54 (7) ◽

pp. 2546-2558 ◽

Cited By ~ 14

Author(s):

C.R. Murthy ◽

A.K. Jagannatham ◽

B.D. Rao

Keyword(s):

Channel Estimation ◽

Mimo Systems ◽

Semiblind Channel Estimation ◽

Ratio Transmission ◽

Maximum Ratio Transmission

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Machine Learning-Based Subjective Quality Estimation for Video Streaming Over Wireless Networks

Advances in Wireless Technologies and Telecommunication - Next-Generation Wireless Networks Meet Advanced Machine Learning Applications ◽

10.4018/978-1-5225-7458-3.ch010 ◽

2019 ◽

pp. 235-254

Author(s):

Monalisa Ghosh ◽

Chetna Singhal

Keyword(s):

Machine Learning ◽

Wireless Networks ◽

Video Streaming ◽

Video Transmission ◽

Video Quality ◽

Subjective Quality ◽

Perceptual Quality ◽

Support Vector ◽

Machine Learning Model

Video streaming services top the internet traffic surging forward a competitive environment to impart best quality of experience (QoE) to the users. The standard codecs utilized in video transmission systems eliminate the spatiotemporal redundancies in order to decrease the bandwidth requirement. This may adversely affect the perceptual quality of videos. To rate a video quality both subjective and objective parameters can be used. So, it is essential to construct frameworks which will measure integrity of video just like humans. This chapter focuses on application of machine learning to evaluate the QoE without requiring human efforts with higher accuracy of 86% and 91% employing the linear and support vector regression respectively. Machine learning model is developed to forecast the subjective quality of H.264 videos obtained after streaming through wireless networks from the subjective scores.

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Quantifying QoS in Heterogeneous Networks

Advances in Wireless Technologies and Telecommunication - Multimedia Services and Applications in Mission Critical Communication Systems ◽

10.4018/978-1-5225-2113-6.ch010 ◽

2017 ◽

pp. 223-251

Author(s):

Farnaz Farid ◽

Seyed Shahrestani ◽

Chun Ruan

Keyword(s):

Wireless Networks ◽

Heterogeneous Networks ◽

Heterogeneous Network ◽

The Other ◽

Simulation Studies ◽

Network Resources ◽

Access Technology ◽

Vast Number ◽

Simulation Results ◽

4G Wireless

The heterogeneous-based 4G wireless networks will offer noticeable advantages for both users and network operators. The users will benefit from the vibrant coverage and capacity. A vast number of available resources will allow them to connect seamlessly to the best available access technology. The network operators, on the other hand, will be benefited from the lower cost and the efficient usage of the network resources. However, managing QoS for video or voice applications over these networks is still a challenging task. In this chapter, a generalized metric-based approach is described for QoS quantification in Heterogeneous networks. To investigate the efficiency of the designed approach, a range of simulation studies based on different models of service over the heterogeneous networks are carried out. The simulation results indicate that the proposed approach facilitates better management and monitoring of heterogeneous network configurations and applications utilizing them.

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QoS-Aware Scheme for Mobility Management and Adaptive Resource Reservation in 4G Wireless Networks

Next Generation Data Communication Technologies ◽

10.4018/978-1-61350-477-2.ch004 ◽

2012 ◽

pp. 65-94

Author(s):

Sihem Trabelsi ◽

Noureddine Boudriga

Keyword(s):

Wireless Networks ◽

Mobility Management ◽

Packet Loss ◽

Resource Reservation ◽

Bandwidth Utilization ◽

Handoff Latency ◽

4G Wireless ◽

Adaptive Resource

Simulations show that the proposed scheme achieves better results than those of other resource reservation schemes for metrics like bandwidth utilization, handoff latency, and packet loss.

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