Sumantra R. Kundu

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—Opportunistic scheduling algorithms are effective in exploiting channel variations and maximizing system throughput in multirate wireless networks. However, most scheduling algorithms ignore the per-user quality-of-service (QoS) requirements and try to allocate resources (for example, the time slots) among multiple users. This leads to a phenomenon(More)
Current scheduling techniques used for cellular networks do not suffice for the emerging multi-rate systems like cdma2000 and High Data Rate (HDR). Real-time applications like video streaming must comprehend the channel conditions and consequently the data rates that are currently being supported; accordingly the content and the amount of data to be(More)
For many network services, such as firewalling, load balancing , or cryptographic acceleration, data packets need to be classified (or filtered) before network appliances can apply any action processing on them. Typical actions are header manipulations, discarding packets, or tagging packets with additional information required for later processing.(More)
Opportunistic scheduling algorithms are effective in requirements of users at each scheduling epoch. As explained exploiting channel variations and maximizing system throughput in Section I-A, it is not possible to provide such delay-in multi-rate wireless networks. However, most scheduling algo-sensitive scheduling using existing scheduling techniques. It(More)