Delay tolerant cooperation in the energy harvesting multiple access channel
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Dosyalar
Tarih
2016
Yazarlar
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Cilt Başlığı
Yayıncı
IEEE
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
We consider the optimum transmit scheduling problem for a two user energy harvesting cooperative multiple access channel. We assume a slotted model where energy harvests in each slot are known a priori. We propose a delay tolerant cooperation model: the transmitters create common information in a given slot, but need not cooperatively send the created common information immediately; they may relegate all or part of the cooperative message transmission to upcoming slots. We propose a modified block Markov superposition coding scheme based on message re-partitioning, that spans multiple slots. We characterize the corresponding achievable departure region by a deadline, and maximize it subject to energy harvesting constraints. We show that, delay tolerant cooperation need not necessarily improve the departure region over delay constrained cooperation, and derive a sufficient condition for the equivalence of the two policies. We compare optimal delay constrained and delay tolerant cooperation policies, and their achievable departure regions via simulations.
Açıklama
Anahtar Kelimeler
Transmitters, Allocation, Policies, System, Delays, Decoding, Encoding, Receivers, Energy harvesting, Markov processes, Batteries, Cooperative communication, Multi-access systems, Multiuser channels, Synchronisation, Telecommunication power management, Telecommunication scheduling, Delay tolerant cooperation model, Multiple access channel, Optimum transmit scheduling problem, Cooperative message transmission, Block Markov superposition coding scheme, Message repartitioning, Departure region, Delay constrained cooperation
Kaynak
2016 Information Theory and Applications Workshop (ITA)
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
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Künye
Kaya, O., Su, N., Ulukuş, S. & Koca, M. (2016). Delay tolerant cooperation in the energy harvesting multiple access channel. Paper presented at the 2016 Information Theory and Applications Workshop (ITA), 1-8. doi:10.1109/ITA.2016.7888142