the multiplexing-diversity tradeoff with joint error-resilient source and channel coding. The cross-layer optimization is performed to opti-mize the physical, link, and application layers, and to minimize the end-to-end video distortion. Index Terms — Cross-layer design, multiple-input multiple-output (MIMO

only 30 % of the sensors encountered by the mobile agent spend energy to reveal themselves. The remaining sensors contribute to the detection process by their silence. Index Terms—Cross-layer design, SENMA, Wald’s sequential test, wireless sensor networks. I.

of system performance on various parameters, and quantify the performance gain due to crosslayer optimization. Our focus is on the single user case, but we also discuss briefly possible applications to multi-user scenarios. Index Terms--- Cross-layer design, adaptive modulation and coding (AMC), discrete

to evaluate the performance in downward and upward vertical handovers. It is demonstrated that the proposed schemes significantly improve the performance in a wide range of network conditions. Index Terms — Cross-layer design, wireless profiled TCP, vertical handover, integrated wireless networks.

control and channel-state information (CSI) feedback delay on the QoS performance. The numerical results obtained demonstrate that our proposed cross-layer model can efficiently characterize the interactions between the physical-layer infrastructure and datalink-layer QoS performance. Index Terms — Cross-layer

communication and intermediate network sizes. Throughput optimization imposes fundamental tradeoffs with transmission and processing energy costs such that the throughput-optimal operation is not necessarily energy efficient. Index Terms—Cross-layer design, energy efficiency, medium access control, network

% over the case where no optimization are used while substantially enhancing the user experience on hand-held systems. Index Terms — Cross layer design, distributed middleware, power/energy optimization

possible transmission rate using arbitrary complex constellations. The best tradeoff between the decoding delay and the number of transmit antennas is also computed and it is shown that many of the codes presented here are optimal in this sense as well. Index Terms — Codes, diversity, multipath channels

functions such as spectrum management, spectrum mobility and spectrum sharing are explained in detail. The influence of these functions on the performance of the upper layer protocols such as routing and transport are investigated and open research issues in these areas are also outlined. Finally, the cross-layer

, minimizing distortion between the host signal and composite signal, and maximizing the robustness of the embedding. We introduce new classes of embedding methods, termed quantization index modulation (QIM) and distortion-compensated QIM (DC-QIM), and develop convenient realizations in the form of what we