Performance Analysis of Cooperative Systems With Unreliable Backhauls and Selection Combining

被引：36
作者：
Kim, Kyeong Jin [1 ]
Khan, Talha Ahmed [1 ,2 ]
Orlik, Philip V. [1 ]
机构：
[1] Mitsubishi Elect Res Labs, Cambridge, MA 02139 USA
[2] Univ Texas Austin, Dept Elect & Comp Engn, Austin, TX 78712 USA
来源：
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY | 2017年 / 66卷 / 03期
关键词：
Average spectral efficiency (ASE); average symbol error rate (ASER); backhaul reliability; Nakagami-m fading; outage probability; scaling law; selection combining (SC) protocol; wireless backhaul; SHARING SINGLE-CARRIER; COORDINATED MULTIPOINT; RATIO TRANSMISSION; OUTAGE PROBABILITY; WIRELESS NETWORKS; RELAY SELECTION; FADING CHANNELS; CAPACITY; RADIO;
D O I：
10.1109/TVT.2016.2585347
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, a cooperative wireless system with unreliable wireless backhaul connections is investigated. To increase the throughput and maximize the receiver signal-to-noise ratio (SNR), a selection combining (SC) protocol is employed. Cooperative transmitters are connected to the control unit (CU) via independent but unreliable wireless backhaul connections. Simultaneously taking into account the reliability of each backhaul and different fading conditions of Nakagami-m fading channels, the statistical properties of the effective SNR (e-SNR) at the receiver are investigated. Closed-form expressions are derived for several performance metrics, including the outage probability, average spectral efficiency (ASE), and average symbol error rate (ASER). The effects of backhaul reliability on these performance metrics are also investigated. The scaling relationship between the convergence behavior of these performance metrics and the conventional diversity gain is also analytically investigated in the asymptotic high-SNR regime. Monte Carlo simulations are conducted to verify the derived impact of backhaul reliability on the performance.
引用
收藏
页码：2448 / 2461
页数：14
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