Lei, Lei, Wang, Huijian, Shen, Xuemin, Cheng, Nan, and Zhong, Zhangdui (2015) Flow-level performance of device-to-device underlaid OFDM cellular networks. In: Proceedings of the IEEE/CIC International Conference on Communications in China. pp. 12-17. From: 2015 ICCC: IEEE/CIC International Conference on Communications in China, 2-4 November 2015, Shenzhen, China.

PDF (Published Version) - Published Version Restricted to Repository staff only

Abstract

In this paper, we study the flow-level performance of an Orthogonal Frequency Division Multiple (OFDM)-based cellular network with underlay D2D, where the uplink cellular spectrum is shared by the cellular and D2D users. In specific, we formulate a coupled processor queuing system with two types of queues to model the flow-level system behavior, where the service rates are derived based on the stochastic point processes of user positions. Since the state space of the queuing model grows exponentially with the number of D2D users and cells, we use the model decomposition and iteration technique to derive its approximate steady-state solution and obtain the flow-level performance in terms of mean delay and energy consumption. Simulations are performed to verify the analytical results under different traffic loads. The proposed flow-level performance model has practical implications for the network deployment and parameter tuning with regard to D2D communications.

Item ID:	54269
Item Type:	Conference Item (Research - E1)
ISBN:	978-1-5090-0243-6
Funders:	National Natural Science Foundation of China (NNSFC), State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University (BJU)
Projects and Grants:	NNSFC Grant No. 61272168, NNSFC Grant No. U1334202, BJU contract No. RCS2014ZT10
Date Deposited:	11 Jul 2018 00:34
FoR Codes:	10 TECHNOLOGY > 1005 Communications Technologies > 100510 Wireless Communications @ 100%
SEO Codes:	89 INFORMATION AND COMMUNICATION SERVICES > 8901 Communication Networks and Services > 890103 Mobile Data Networks and Services @ 100%
Downloads:	Total: 1
	More Statistics