Exploiting Device-to-Device Communications in Joint Scheduling of Access and Backhaul for mmWave Small Cells

Abstract

With the explosive growth of mobile data demand, there has been an increasing interest in deploying small cells of higher frequency bands underlying the conventional homogeneous macrocell network, which is usually referred to as heterogeneous cellular networks, to significantly boost the overall network capacity. With vast amounts of spectrum available in the millimeter wave (mmWave) band, small cells at mmWave frequencies are able to provide multi-gigabit access data rates, while the wireless backhaul in the mmWave band is emerging as a cost-effective solution to provide high backhaul capacity to connect access points (APs) of the small cells. In order to operate the mobile network optimally, it is necessary to jointly design the radio access and backhaul networks. Meanwhile, direct transmissions between devices should also be considered to improve system performance and enhance the user experience. In this paper, we propose a joint transmission scheduling scheme for the radio access and backhaul of small cells in the mmWave band, termed D2DMAC, where a path selection criterion is designed to enable device-to-device transmissions for performance improvement. In D2DMAC, a concurrent transmission scheduling algorithm is proposed to fully exploit spatial reuse in mmWave networks. Through extensive simulations under various traffic patterns and user deployments, we demonstrate D2DMAC achieves near-optimal performance in some cases, and outperforms other protocols significantly in terms of delay and throughput. Furthermore, we also analyze the impact of path selection on the performance improvement of D2DMAC under different selected parameters.

Survey of radio resource management issues and proposals for energy-efficient cellular networks that will cover billions of machines

“…This problem can be addressed by interference-based topology control algorithm [51], specific scheduling, the use of different frequencies between the two communications (but this is pricey in frequencies), or even the use of two different protocols as proposed in [12]. In addition, how to enable and make the MTCD-to-MTCD link efficient is addressed by device-to-device (D2D) communication [52,53] and multiple-hop communication [54]. The idea of group-based communication is presented in [55] but without clarifying grouping/clustering algorithms.…”

Efficient Interference Mitigation in mmWave Backhaul Network for High Data Rate 5G Wireless Communications

“…Most of the work about mmWave communication in the literature mainly focuses on channel modeling [2] [3], and its applicability for indoor/outdoor environment over traditional cellular networks in terms of the coverage and rate probabilities [4]. By contrast, limited studies, such as [5] [6] [7] [8], have investigated mmWave backhaul networks. The authors in [5] [6] have studied the resource allocation in heterogeneous backhaul network which consists of both wired fiber and mmWave wireless communications.…”

“…By contrast, limited studies, such as [5] [6] [7] [8], have investigated mmWave backhaul networks. The authors in [5] [6] have studied the resource allocation in heterogeneous backhaul network which consists of both wired fiber and mmWave wireless communications. In [6], the authors have investigated the heterogeneous backhaul network's performance in terms of packet delay, and have also shown the new backhaul technologies over the traditional wired only technologies.…”

“…In [6], the authors have investigated the heterogeneous backhaul network's performance in terms of packet delay, and have also shown the new backhaul technologies over the traditional wired only technologies. Recently, the authors in [5] have studied joint scheduling of radio access and mmWave and fiber backhaul in hybrid heterogeneous network with the capabilities of device-to-device transmissions. By contrast, the authors in [7] [8] have investigated mmWave only backhaul networks.…”

Joint QoS provisioning and congestion control for multi-hop wireless networks

“…However, the end-to-end performance becomes problematic in multi-hop wireless networks. The end-to-end behaviors of QoS provisioning and congestion control over multiple hops are of particular challenges and demand for a rethink due to the issues of bandwidth limitation, signal fading, and interference in this kind of network [9][10][11][12][13][14][15][16]. When the majority of traffic over the network becomes multimedia in the near future, e.g., VoIP and video [17], QoS provisioning is critical for the user experience and it will probably affect the future applications of multi-hop wireless networks.…”