The 21st International Symposium on Mobile Ad Hoc Networking and Computing (ACM MobiHoc 2020)
Wireless Communication and Scheduling
REFRAIN: Promoting Valid Transmissions in High-Density Modern Wi-Fi Networks
Youngwook Son, Kanghyun Lee (Seoul National University, Korea), Seongwon Kim (SK Telecom, Korea), Jinmyeong Lee (Seoul National University, Korea), Sunghyun Choi (Samsung Research, Korea), Saewoong Bahk (Seoul National University)
Emulating Round-Robin for Serving Dynamic Flows over Wireless Fading Channels
Bin Li (University of Rhode Island), Atilla Eryilmaz (The Ohio State University), R. Srikant (University of Illinois at Urbana-Champaign)
Portal: Transparent Cross-technology Opportunistic Forwarding for Low-power Wireless Networks
Xiaolong Zheng, Dan Xia (Beijing University of Posts and Telecommunications), Xiuzhen Guo (Tsinghua University), Liang Liu (Beijing University of Posts and Telecommunications), Yuan He (Tsinghua University), Huadong Ma (Beijing University of Posts and Telecommunications)
TCCI: Taming Co-Channel Interference for Wireless LANs
Adnan Quadri, Hossein Pirayesh, Pedram Kheirkhah Sangdeh, Huacheng Zeng (University of Louisville)
Session Chair
Francesco Restuccia (Northeastern University)
Keynote 2
Good Times for Wireless Research
Ashutosh Sabharwal (Rice University, USA)
Session Chair
Eylem Ekici (The Ohio State University, USA), Tommaso Melodia (Northeastern University, USA), Alhussein Abouzeid (Rensselaer Polytechnic Institute, USA), Minghua Chen (The City University of Hong Kong, Hong Kong)
Emerging Topics
Private and Communication-Efficient Edge Learning: A Sparse Differential Gaussian-Masking Distributed SGD Approach
Xin Zhang, Minghong Fang, Jia Liu, Zhengyuan Zhu (Iowa State University)
PolymoRF: Polymorphic Wireless Receivers Through Physical-Layer Deep Learning
Francesco Restuccia, Tommaso Melodia (Northeastern University)
Internet Transport Economics: Model and Analysis
Richard T. B. Ma (National University of Singapore)
In this paper, we establish a novel model to study how business decisions such as capacity planning, routing strategies and peering agreements affect QoS in terms of end-to-end delay and drop rate of Internet routes. In particular, we take an economics perspective of the Internet transport service and model its supply of network capacities and demands of throughput driven by network protocols. We show that a macroscopic network equilibrium always exists and its uniqueness can be guaranteed under various scenarios. We analyze the impacts of user demands and resource capacities on the network equilibrium and provide implications of Netflix-Comcast type of peering on the QoS of users. We demonstrate that our framework can be used as a building block to understand the routing strategies under a Wardrop equilibrium and to enable further studies such as Internet peering and in-network caching.
Distributed Double Auctions for Large-Scale Device-to-Device Resource Trading
Shuqin Gao, Costas Courcoubetis, Lingjie Duan (Singapore University of Technology and Design)
Session Chair
Tianyi Chen (Rensselaer Polytechnic Institute)
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