Convex Optimization
Cross Layer QoS Guarantees in Multiuser WLAN Systems
Wireless Personal Communications: An International Journal
Perspectives on quality of experience for video streaming over WiMAX
ACM SIGMOBILE Mobile Computing and Communications Review
A generic quantitative relationship between quality of experience and quality of service
IEEE Network: The Magazine of Global Internetworking - Special issue on improving quality of experience for network services
Evaluation of quality of experience for video streaming over dynamic spectrum access systems
WOWMOM '10 Proceedings of the 2010 IEEE International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM)
A utility-based algorithm for joint uplink/downlink scheduling in wireless cellular networks
Journal of Network and Computer Applications
Fair quality of experience (qoe) measurements related with networking technologies
WWIC'10 Proceedings of the 8th international conference on Wired/Wireless Internet Communications
An overview of quality of experience measurement challenges for video applications in IP networks
WWIC'10 Proceedings of the 8th international conference on Wired/Wireless Internet Communications
On optimized joint uplink/downlink resource allocation in OFDMA networks
ISCC '11 Proceedings of the 2011 IEEE Symposium on Computers and Communications
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Quality of Experience (QoE) is a very important metric in wireless communication systems, where customers request strict QoE demands that translate into restrictions on both Uplink (UL) and Downlink (DL) connections. The development of wireless communications standards and the emergence of new interactive and conversational services with bi-directional QoE requirements changes the scheduling context from a link-level to a system level. To this end, this paper presents a joint UL-DL bandwidth allocation approach that considers outage as the main QoE parameter to be minimized. The well-known opportunistic scheduling algorithm is first modified to account for the UL-DL coupling and mathematical expressions of both the outage probability and its QoE are derived. Then the expressions are employed in the joint UL-DL bandwidth allocation problem. The formulated problem is shown to be a convex optimization problem. Simulation results demonstrate the merits of the proposed approach compared to traditional techniques.