Performance Analysis of Device to Device Communications Overlaying/Underlaying Cellular Network
Authors
Abstract:
Minimizing the outage probability and maximizing throughput are two important aspects in device to device (D2D) communications, which are greatly related to each other. In this paper, first, the exact formulas of the outage probability for D2D communications underlaying or overlaying cellular network are derived which jointly experience Additive White Gaussian Noise (AWGN) and Rayleigh multipath fading. Then, simulation results of the exact formulas and previously respected approximate formulas are compared in MATLAB for both underlay and overlay scenarios. It is shown that the approximate formula in underlay scenario is a good estimate for exact one while approximate formula for overlaying scenario is a good approximation when the average distance between the transmit/receive nodes of D2D pair is less than half of the maximum distance between these nodes or variance of multipath fading is greater than 1.5. In addition, the probability density functions of Signal to Interference plus Noise Ratio (SINR) for underlay and overlay scenarios are found. Moreover, a new scenario is proposed which jointly considers overlay and underlay scenarios. Furthermore, exact and approximate formulas for outage probability and throughput of D2D users in the proposed scenario are derived. Finally, these formulas are compared to underlay and overlay scenarios in three special cases, low, moderate and high traffic loads
similar resources
Performance analysis of device-to-device communications underlaying cellular networks
Device-to-device (D2D) communications underlaying cellular networks are considered to be promising communication modes to improve network radio resource efficiency and provide higher transmission data rates to devices close to each other. However, when D2D communications reuse cellular resources, the resulting interference will cause significant performance loss to cellular users. In this paper...
full textScalability of Device-to-Device Communications in Cellular Networks
In current cellular networks the demand of traffic is rapidly increasing and new techniques need to be developed to accommodate future service requirements. Device-to-Device (D2D) communications is one technique that has been proposed to improve the performance of the system by allowing devices to communicate directly without routing traffic through the base station. This technique has the mean...
full textDevice-to-Device Communication Underlaying Cellular Communications Systems
In this article we propose to facilitate local peer-to-peer communication by a Device-to-Device (D2D) radio that operates as an underlay network to an IMT-Advanced cellular network. It is expected that local services may utilize mobile peer-to-peer communication instead of central server based communication for rich multimedia services. The main challenge of the underlay radio in a multi-cell e...
full textOptimizing Device-to-Device Communications in Cellular Networks
Figure 1 Device to Device communication between UE1 and UE2 as an underlay to a cellular network. Figure 2 D2D communications using cellular uplink band (D2D-UL) (a), D2D communications using cellular downlink band (D2D-DL) (b). The red lines indicate the interference and green lines indicate the
full textResource Allocation for Multicell Device-to-Device Communications in Cellular Network: A Game Theoretic Approach
Device-to-Device (D2D) communication has recently emerged as a promising technology to improve the capacity and coverage of cellular systems. To successfully implement D2D communications underlaying a cellular network, resource allocation for D2D links plays a critical role. While most of prior resource allocation mechanisms for D2D communications have focused on interference within a single-ce...
full textMy Resources
Journal title
volume 9 issue 33
pages 0- 0
publication date 2019-08
By following a journal you will be notified via email when a new issue of this journal is published.
Hosted on Doprax cloud platform doprax.com
copyright © 2015-2023