Abstract
Piggyback is an effective scheme to transmit control messages in wireless local area networks (WLANs). In traditional approaches, the piggyback scheme is achieved by redefining or adding control fields in the MAC frame header, i.e., MAC layer piggyback scheme. However, this method has shortcomings. In this paper, we design and present PhyPig (Physical Piggyback), a cross-layer design for lightweight control channel. In the newly proposed communication strategy, the control messages are piggybacked on OFDM-based physical layer so that PhyPig does not consume extra channel resources, and does not harm the normal data throughput. Specifically, PhyPig modulates control messages (or sequences of binary bits) into null or non-null (i.e., normal) data symbols, the minimum 2-D time-frequency resource unit in OFDM. The thus-transmitted messages can be interpreted by checking the patterns of data symbols on OFDM subcarriers. Our extensive results validate the feasibility of PhyPig and show that PhyPig delivers control messages with close to 100 % accuracy on a channel with practical SNR regions. Further, based on our simulation results, we demonstrate that PhyPig outperforms traditional piggyback scheme with significant performance improvements in different scenarios.
This work was supported in part by the Natural Science Foundation of China (NSFC) under Grants 61202140 and 61328208, by the Fundamental Research Funds for the Central Universities of China, by the Innovation Foundation of the Chinese Academy of Sciences under Grand CXJJ-14-S132, and by the Program for New Century Excellent Talents in University of China under Grant NCET-13-0548. The work of Y. Fang was also partially supported by the US National Science Foundation under grants CNS-1409797 and CNS-1343356.
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Feng, B., Zhang, C., Wei, L., Fang, Y. (2016). Piggybacking Lightweight Control Messages on Physical Layer for Multicarrier Wireless LANs. In: Yang, Q., Yu, W., Challal, Y. (eds) Wireless Algorithms, Systems, and Applications. WASA 2016. Lecture Notes in Computer Science(), vol 9798. Springer, Cham. https://doi.org/10.1007/978-3-319-42836-9_7
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DOI: https://doi.org/10.1007/978-3-319-42836-9_7
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