Optimization of Effective Area Spectral Efficiency for Wireless Communications Systems under Nakagami-m Fading Channels
| Autor: | Aymen Omri, Mazen O. Hasna |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Nakagami-m fading channels
Engineering Wireless communications Decoding Fading channels 050801 communication & media studies Efficiency Data_CODINGANDINFORMATIONTHEORY 02 engineering and technology law.invention 0508 media and communications Point-to-point transmissions Relay law Electric power transmission 0202 electrical engineering electronic engineering information engineering Electronic engineering Wireless communications system Wireless Fading Cooperative communication Computer Science::Information Theory business.industry ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS 05 social sciences Decode-and-forward relaying 020206 networking & telecommunications Nakagami distribution Spectral efficiency Transmission system Average ergodic capacities Transmission parameters Effective area Transmission (telecommunications) Metric (mathematics) Numerical methods business |
| Zdroj: | VTC Fall |
| DOI: | 10.1109/vtcfall.2016.7881138 |
| Popis: | In this paper, we present an optimization of the effective area spectral efficiency (EASE) metric for point-to-point transmission systems, and decode-and-forward (DF) relaying communications networks under Nakagami-m fading channels. For each transmission mode, we derive a closed-form expression for the maximum transmission range and use it to derive the average affected area, and the average ergodic capacity. We then introduce the EASE expression to quantify the spatial spectral utilization efficiency. For DF relaying, the EASE metric is based on a newly introduced index, namely, useful relaying index (URndx), which is used to validate the communication possibility between a source and a relay for given transmission parameters in a given environment, and provides information about the necessity of using relaying communications. Based on the expression of EASE, we derive the optimal transmission powers that maximize the EASE for each mode. Through mathematical analysis and numerical examples, we show that the EASE metric provides a new perspective on the design of wireless transmissions, especially the transmission power optimization process. 2016 IEEE. Scopus |
| Databáze: | OpenAIRE |
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