Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
UCAN: a unified cellular and ad-hoc network architecture
Proceedings of the 9th annual international conference on Mobile computing and networking
Wireless Communications
Reconsidering wireless systems with multiple radios
ACM SIGCOMM Computer Communication Review
Challenges: a radically new architecture for next generation mobile ad hoc networks
Proceedings of the 11th annual international conference on Mobile computing and networking
Cooperation in Wireless Networks: Principles and Applications: Real Egoistic Behavior Is to Cooperate!
PPR: partial packet recovery for wireless networks
Proceedings of the 2007 conference on Applications, technologies, architectures, and protocols for computer communications
Beyond the bits: cooperative packet recovery using physical layer information
Proceedings of the 13th annual ACM international conference on Mobile computing and networking
Cross-Layer Distributed Diversity for Heterogeneous Wireless Networks
WWIC '07 Proceedings of the 5th international conference on Wired/Wireless Internet Communications
Diversity through coded cooperation
IEEE Transactions on Wireless Communications
Hierarchical Cooperation Achieves Optimal Capacity Scaling in Ad Hoc Networks
IEEE Transactions on Information Theory
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In this paper, we propose a new Distributed Cooperation and Diversity Combining framework. Our focus is heterogeneous networks with devices equipped with two types of radio frequency (RF) links: short-range high-rate interface (e.g., IEEE802.11), and a long-range low-rate interface (e.g., cellular) communicating in fading channels. Within this framework, we propose and evaluate a set of distributed cooperation techniques operating at different hierarchical levels with resource constraints such as short-range RF bandwidth. We propose a Priority Maximum-Ratio Combining (PMRC) for pre-demodulation combining, a post soft-demodulation combining, and a decode-and-forward technique. We show that the proposed techniques achieve significant improvements on Signal to Noise Ratio (SNR), Bit Error Rate (BER) and throughput through analysis, simulation, and experimentation on our platform prototype. Our results also indicate that, under several communication scenarios we are considering, PMRC can improve the throughput performance by over an order of magnitude.