Power control of D2D communication based on quality of service assurance under imperfect channel information
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Power control of D2D communication based on quality of service assurance under imperfect channel information Zhixin Liu1 · Xiaopin Li1 · Yazhou Yuan1 · Xinping Guan1,2 Received: 22 September 2019 / Accepted: 27 December 2019 © Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract In cellular networks, proximity users establish device-to-device(D2D) links directly under the control of base stations (BSs) for data exchange, and no base station forwarding is required. For the advantages such as lower transmission power, higher data transmission rate, D2D communication has been paid more and more attention. However, the environmental impact of introducing D2D shared spectrum resources has become a major challenge. This paper studies a robust downlink power control scheme with imperfect channel state information (CSI) in D2D communication system. In order to improve the system sum rates, this paper optimizes the transmitting power of D2D users (DUEs) and the base stations through geometric analysis and convex optimization while guaranteeing the quality-of-service (QoS) requirements for both DUEs and cellular users (CUEs). Because of the dynamic characteristics of wireless channel, it is difficult and expensive to acquire CSI without direct communication with BS. On this account, we consider channel uncertainty rather than perfect or instantaneous known CSI. Aiming at enhancing the system robustness, we formulate an outage-based robust optimization problem. The original deterministic the signal-to-interference-noise-ratio (SINR) constraints are substituted with the transformed probability constraints, which transforms the random channel gain into a deterministic one with outage threshold. The simulation results show that the power allocation based on the proposed algorithm can adapt to the complex channel environment and are with better robustness. Keywords Device-to-device (D2D) communications · Imperfect CSI · Outage probability · Power allocation · Robust optimization
1 Introduction In recent years, with the explosive growth of communication data traffic, a large number of terminal equipment
Zhixin Liu
[email protected] Xiaopin Li [email protected] Yazhou Yuan [email protected] Xinping Guan [email protected] 1
Institute of Electrical Engineering, Yanshan University, Qinhuangdao, Hebei 066004, China
2
School of Electronic, Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
connections and emerging communications services have emerged [1]. For example, with the rapid development of new application scenarios such as driverless, telemedicine and smart home, people’s demand for more advanced broadband services is becoming more and more urgent. Traditional BS centric network architectures, such as cellular heterogeneous network, ultra dense network, etc., are often expensive to deploy and the local networks are not very flexible. So it is difficult to meet the needs of a large number of data services and user experience in future wireless appli
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