On the impact of transmitter channel knowledge in energy-efficient machine-type communication
| Autor: | Michele Zorzi, Andrea Zanella, Andrea Biral, Howard Huang |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Physics::Instrumentation and Detectors
Computer science Computer Networks and Communications Throughput Data_CODINGANDINFORMATIONTHEORY 02 engineering and technology Water-filling Dynamic programming 01 natural sciences Cellular network CSI Telecommunications link 0202 electrical engineering electronic engineering information engineering Wireless Overhead (computing) Electrical and Electronic Engineering Resource allocation Computer Science::Information Theory Rayleigh fading business.industry Communication ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS 010401 analytical chemistry Transmitter Energy efficiency MTC 020206 networking & telecommunications 0104 chemical sciences Channel state information business Efficient energy use Communication channel Computer network |
| Zdroj: | GLOBECOM Workshops |
| Popis: | We address the problem of delivering a fixed data payload over a Rayleigh fading wireless channel, where the aim is to allocate resources to minimize the average total energy, given by the sum of the transmit energy and an overhead circuit energy. This scenario is well suited for uplink cellular machine-type communications in future 5G Internet of Things (IoT) use cases, where the focus is more on device energy efficiency than on throughput. We propose and describe the transmission policies to be used under three scenarios with different levels of channel state information (CSI) at the transmitter: non-causal CSI, causal CSI, and average CSI. For typical uplink macrocellular links, we show 1) that the strategy for causal CSI has nearly the same energy efficiency as the unachievable non-causal CSI bound, and 2) that the energy difference between this bound and the average CSI energy is about a factor of 2 to 5. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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