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WMuNeP '05 Proceedings of the 1st ACM workshop on Wireless multimedia networking and performance modeling
A Centralized MAC Protocol for QoS Support in UWB-Based Wireless Networks
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Optimal Transmit Power in Wireless Sensor Networks
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Cross-layer design of energy-constrained networks using cooperative MIMO techniques
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Resource allocation and cross-layer control in wireless networks
Foundations and Trends® in Networking
Two-phase routing, scheduling and power control for wireless mesh networks with variable traffic
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Minimizing Eavesdropping Risk by Transmission Power Control in Multihop Wireless Networks
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Adaptive Low Power Listening for Wireless Sensor Networks
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Allocating dynamic time-spectrum blocks in cognitive radio networks
Proceedings of the 8th ACM international symposium on Mobile ad hoc networking and computing
Cross-layer design based data aggregation for maximizing network lifetime
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Distributed and cooperative link scheduling for large-scale multihop wireless networks
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Low-energy consumption schemes in wireless sensor networks
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Throughput and QoS optimization in nonuniform multichannel wireless mesh networks
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Power Control in Wireless Cellular Networks
Foundations and Trends® in Networking
Network Lifetime Optimization by KKT Optimality Conditions in Wireless Sensor Networks
Wireless Personal Communications: An International Journal
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Energy-robustness tradeoff in cellular network power control
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S-MAPEL: monotonic optimization for non-convex joint power control and scheduling problems
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EUC'06 Proceedings of the 2006 international conference on Embedded and Ubiquitous Computing
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Optimal transmit power and packet size in wireless sensor networks in lognormal shadowed environment
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Wireless Networks
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QoS in Wireless Multimedia Sensor Networks: A Layered and Cross-Layered Approach
Wireless Personal Communications: An International Journal
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In this paper, we introduce a cross-layer design framework to the multiple access problem in contention-based wireless ad hoc networks. The motivation for this study is twofold, limiting multiuser interference to increase single-hop throughput and reducing power consumption to prolong battery life. We focus on next neighbor transmissions where nodes are required to send information packets to their respective receivers subject to a constraint on the signal-to-interference-and-noise ratio. The multiple access problem is solved via two alternating phases, namely scheduling and power control. The scheduling algorithm is essential to coordinate the transmissions of independent users in order to eliminate strong levels of interference (e.g., self-interference) that cannot be overcome by power control. On the other hand, power control is executed in a distributed fashion to determine the admissible power vector, if one exists, that can be used by the scheduled users to satisfy their single-hop transmission requirements. This is done for two types of networks, namely time-division multiple-access (TDMA) and TDMA/code-division multiple-access wireless ad hoc networks.