Abstract
To reduce energy consumption, relay stations with massive antenna arrays can be equipped with low resolution analog-to-digital converters (ADCs). Due to powerful loop interference in full-duplex (FD) relaying, however, low resolution ADCs generate strong quantization noise that has severe impact on the throughput of the system. In this paper, the throughput and energy efficiency of a FD decode-and-forward relay system with low resolution ADCs is investigated. Based on the mathematical analysis, a novel iterative power allocation scheme that mitigates the impact of the quantization noise via reducing the received LI power is proposed. The power allocation scheme aims at maximizing the end-to-end achievable rate by adjusting the per-link transmit powers at the relay. The numerical results show that compared to half-duplex relaying, using FD with the proposed power allocation scheme improves the system throughput and energy efficiency significantly.
| Original language | English |
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| Title of host publication | 2019 16th International Symposium on Wireless Communication Systems (ISWCS) |
| Publisher | IEEE Institute of Electrical and Electronic Engineers |
| Pages | 505-510 |
| Number of pages | 6 |
| ISBN (Electronic) | 978-1-7281-2527-5 |
| ISBN (Print) | 978-1-7281-2528-2 |
| DOIs | |
| Publication status | Published - Aug 2019 |
| MoE publication type | A4 Article in a conference publication |
| Event | 16th International Symposium on Wireless Communication Systems, ISWCS 2019 - Oulu, Finland Duration: 27 Aug 2019 → 30 Aug 2019 |
Conference
| Conference | 16th International Symposium on Wireless Communication Systems, ISWCS 2019 |
|---|---|
| Country | Finland |
| City | Oulu |
| Period | 27/08/19 → 30/08/19 |
Keywords
- Decode-and-forward
- Energy efficiency
- Finite code word length
- Full-duplex relaying
- Low resolution ADCs
- Massive MIMO
- Power allocation