Abstract
This letter presents an analytical model that jointly exploits the buffer dynamics of both the sending and receiving nodes to find the optimum number of byte-level and packet-level forward error correction (FEC) units for real-time multimedia transmission over wireless networks. The proposed analytical model first provides an optimum number of FEC units required at the byte-level, and then chooses the number of FEC units at the packet-level based on current channel and network conditions. The accuracy of the proposed model is dependent on two parameters: the variable deadline-time at the byte-level and fixed round-trip time (RTT) delay at the packet-level. Numerical results demonstrate the effectiveness of the model in reducing the unrecoverable error probability, which is achieved when the byte-level FEC scheme is supplemented by the packet-level FEC scheme.
Highlights
In this letter, the problem of selecting the byte-level and packet-level forward error correction (FEC) combinations that increase the overall system efficiency and video quality is presented as a 0-1 knapsack optimization problem
We propose a dynamic programming (DP) based algorithm for selecting the byte-level and packet-level FEC units to minimize the effect of error-prone wireless channel and network losses
The main contribution of this letter is the presentation of a Dynamic programming (DP-)based model that utilizes the queuing dynamics of both the sending and receiving nodes of a wireless network in calculating the number of FEC redundancy units at both the byte and packet levels, in the context of video transmission over a wireless network
Summary
The problem of selecting the byte-level and packet-level forward error correction (FEC) combinations that increase the overall system efficiency and video quality is presented as a 0-1 knapsack optimization problem. We propose a dynamic programming (DP) based algorithm for selecting the byte-level and packet-level FEC units to minimize the effect of error-prone wireless channel and network losses. This approach is different from that of [1] by calculating the cost/throughout ratio (CTR) at both the byte and packet levels, instead of a single level considered in [1]. The main contribution of this letter is the presentation of a DP-based model that utilizes the queuing dynamics of both the sending and receiving nodes of a wireless network in calculating the number of FEC redundancy units at both the byte and packet levels, in the context of video transmission over a wireless network
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