Optimal 4G OFDMA Dynamic Subcarrier and Power Auction-based Allocation towards H.264 Scalable Video Transmission

G. Chandra Sekhar; Shreyans Parakh; Aditya K. Jagannatham

doi:10.14429/dsj.63.3759

G. Chandra Sekhar Indian Institute of Technology Kanpur
Shreyans Parakh Indian Institute of Technology Kanpur
Aditya K. Jagannatham Indian Institute of Technology Kanpur

DOI: https://doi.org/10.14429/dsj.63.3759

Keywords: Orthogonal frequency division for multiple access, subcarrier, wireless video, scalable video coding

Abstract

In this paper, authors presented a price maximization scheme for optimal orthogonal frequency division for multiple access (OFDMA) subcarrier allocation for wireless video unicast/multicast scenarios. They formulate a pricing based video utility function for H.264 based wireless scalable video streaming, thereby achieving a trade-off between price and QoS fairness. These parametric models for scalable video rate and quality characterization arederived from the standard JSVM reference codec for the SVC extension of the H.264/AVC, and hence are directly applicable in practical wireless scenarios. With the aid of these models, they proposed auction based framework for revenue maximization of the transmitted video streams in the unicast and multicast 4G scenario. A closedform expression is derived for the optimal scalable video quantization step-size subject to the constraints of theunicast/multicast users in 4G wireless systems. This yields the optimal OFDMA subcarrier allocation for multi-userscalable video multiplexing. The proposed scheme is cognizant of the user modulation and code rate, and is henceamenable to adaptive modulation and coding (AMC) feature of 4G wireless networks. Further, they also consider aframework for optimal power allocation based on a novel revenue maximization scheme in OFDMA based wireless broadband 4G systems employing auction bidding models. This is formulated as a constrained convex optimization problem towards sum video utility maximization. We observe that as the demand for a video stream increases inbroadcast/multicast scenarios, higher power is allocated to the corresponding video stream leading to a gain in the overall revenue/utility. We simulate a standard WiMAX based 4G video transmission scenario to validate the performance of the proposed optimal 4G scalable video resource allocation schemes. Simulations illustrate that the proposed optimal band width and power allocation schemes result in a significant performance improvement over the suboptimal equal resource allocation schemes for scalable video transmission.

Defence Science Journal, 2013, 63(1), pp.15-24, DOI:http://dx.doi.org/10.14429/dsj.63.3759

Author Biographies

G. Chandra Sekhar, Indian Institute of Technology Kanpur

Mr Garlapati Chandra Sekhar obtainedhis MTech (Electrical Engineering) withfocus in Signal Processing, Communiction and Networking at IIT Kanpur in 2012. He is currently Member of Technical Staff, System Solutions, Cadence Design Systems India Pvt. Ltd., Bangalore.

Shreyans Parakh, Indian Institute of Technology Kanpur

Mr Shreyans Parakh has completed his MTech (Signal Processing, Communication and Networks) from Indian Institute ofTechnology, Kanpur in 2012. He has worked with Cisco and is currently working to start a project on pollution control and fuel production from waste materials. Hehas 4 published papers in conferences/journals. His research area includes: Wireless systems, video coding, optimization and game theory.

Aditya K. Jagannatham, Indian Institute of Technology Kanpur

Prof Aditya K. Jagannatham received his MS and PhD from the University of California,San Diego, US. Presently he is working as a faculty member in the Department ofElectrical Engineering at Indian Institute of Technology, Kanpur and also associated with the BSNL-IITK Telecom Center ofExcellence (BITCOE). He has contributed to the 802.11n high throughput wireless LAN standard. His research area includes: Next-generationwireless communications and networking, sensor and ad-hocnetworks, digital video processing for wireless systems, wireless 3G/4G cellular standards, and CDMA/OF DM/MIMO wireless technologies.