Abstract—Today multimedia traffic is congested due to heavy data traffic. If traffic becomes flooded, congestion is more and Data delivery is less. The source can be optimized based on the channel condition. Hence, Shannon’s theorems can be enhanced to include channel state information (CSI).We propose cross-layer design which optimizes data rate and payload length based on CSI in MIMO networks. Video summary frames are transmitted via MIMO transmit/receive diversity with AMC at the physical layer and optimal payload length algorithm and ARQ at the data link layer and source coding at the application layer. We, assume first model the finite-state Markov chain (FSMC) for the physical layer service and based on that, we then characterize the Lagrangian relaxation and Dynamic programming to find the optimal shortest path. The source coding as well as retrains mission requests are based on the channel-state information (CSI) and the system controller is implemented in all the four physical, MAC layer and application layers. The numerical results revealed that our proposed cross-layer design can efficiently achieve the distortion gain and payload adaptation at worst channel condition.
Index Terms—Cross-layer design, quality-of-service (QoS), adaptive modulation and coding (AMC), multiple input multiple output (MIMO), automatic repeat request (ARQ), mobile wireless networks.
Cite: Srimathi Mathialagan and S. Shanmugavel, "Channel Controlled Payload Length &Rate in MIMO Networks Using Cross-Layer," International Journal of Computer Theory and Engineering vol. 1, no. 2, pp. 159-165, 2009.
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