Link layer multicast using smart antennas: No client left behind

• Main Authors: Souvik SEN, XIONG, Jie, GHOSH, Rahul, CHOUDHURY, Romit Roy
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2008
• Subjects: Adaptive antenna arrays; Broadcast channels; Multicast protocols; Telecommunication network topology; Time-varying channels; Wireless LAN; Wireless channels; Qualnet; Audio streaming; Beamforming antenna; Broadcast channel; Client topology; Dynamic programming; High-rate omnidirectional transmission; Multicast protocol; Smart antenna; Time-varying channel; Wireless channel; Wireless link layer multicast; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/2798; https://ink.library.smu.edu.sg/context/sis_research/article/3798/viewcontent/LinkLayerMulticasting_2008_afv.pdf
• Institution: Singapore Management University

Wireless link layer multicast is an important service primitive for emerging applications, such as live video, streaming audio, and other content telecasts. The broadcast nature of the wireless channel is amenable to multicast because a single packet transmission may be received by all clients in the multicast group. However, in view of diverse channel conditions at different clients, the rate of such a transmission is bottlenecked by the rate of the weakest client. Multicast throughput degrades severely. Attempts to increase the data rate result in lower reliability and higher unfairness. This paper utilizes smart beamforming antennas to improve multicast performance in wireless LANs. The main idea is to satisfy the stronger clients with a high-rate omnidirectional transmission, followed by high-rate directional transmission(s) to cover the weaker ones. By selecting an optimal transmission strategy (using dynamic programming), we show that the multicast throughput can be maximized while achieving a desired delivery ratio at all the clients. We use testbed measurements to verify our main assumptions. We simulate our protocol in Qualnet, and observe consistent performance improvements over a range of client topologies and time-varying channel conditions.