Joint Load Balancing and Interference Mitigation in 5G Heterogeneous Networks

Vu, Trung Kien; Bennis, Mehdi; Samarakoon, Sumudu; Debbah, Mérouane; Latva-aho, Matti

doi:10.1109/twc.2017.2718504

Cited by 73 publications

(94 citation statements)

References 28 publications

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“…At the communication level, proximity-based computing and millimeter wave (mmWave) links play major roles in reducing task offloading latency from edge devices to servers by reducing distance attenuation and providing broad bandwidth with high directionality, respectively. In addition, mmWave also enables wireless backhauling [15], [16] that facilitates edge servers' prefetching popular content with low latency. At the processing level, proactive computing provides significant latency reduction while maximizing resource efficiency by avoiding repetitive and redundant on-demand computing [17]- [19].…”

Section: Low Latency Enablersmentioning

confidence: 99%

Wireless Edge Computing With Latency and Reliability Guarantees

et al. 2019

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Edge computing is an emerging concept based on distributing computing, storage, and control services closer to end network nodes. Edge computing lies at the heart of the fifth generation (5G) wireless systems and beyond. While current state-of-the-art networks communicate, compute, and process data in a centralized manner (at the cloud), for latency and compute-centric applications, both radio access and computational resources must be brought closer to the edge, harnessing the availability of computing and storage-enabled small cell base stations in proximity to the end devices. Furthermore, the network infrastructure must enable a distributed edge decision-making service that learns to adapt to the network dynamics with minimal latency and optimize network deployment and operation accordingly. This article will provide a fresh look to the concept of edge computing by first discussing the applications that the network edge must provide, with a special emphasis on the ensuing challenges in enabling ultra-reliable and lowlatency edge computing services for mission-critical applications such as virtual reality (VR), vehicle-to-everything (V2X), edge artificial intelligence (AI), and so forth. Furthermore, several case studies where the edge is key are explored followed by insights and prospect for future work.

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Section: Low Latency Enablersmentioning

confidence: 99%

Wireless Edge Computing With Latency and Reliability Guarantees

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“…where A j is the set of associated aUEs with j th drone and are scheduled on same spectrum and time resources as t th tUE. The second term in (5) represents the inter-tier interference on the access transmissions of t th tUE. The received SINR at t th tUE can be expressed by:…”

Section: B Access Downlink Transmissionsmentioning

confidence: 99%

“…In this regard, 3rd Generation Partnership Project (3GPP) has introduced the integrated access and backhaul (IAB) network architecture to allow for flexible deployment of next-generation cellular networks [3], [4]. Generally, the IAB architecture implies tight interworking between access and backhaul links, where the IAB-donor (i.e., macro base station (MBS)) uses the same infrastructure and wireless channel resources to provide access and backhauling functionalities for cellular users and IAB-nodes (i.e., small bases stations (SBSs)), respectively [5]- [7]. Although IABbased cellular networks are envisioned to meet the increase in user and traffic demands, the mutual interference between access and backhaul links and the limitations of backhaul capacity are among the main challenges to develop reliable communication links in IAB networks (see, e.g., [5]).…”

Section: Introductionmentioning

confidence: 99%

Interference Management in UAV-Assisted Integrated Access and Backhaul Cellular Networks

et al. 2019

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An integrated access and backhaul (IAB) network architecture can enable flexible and fast deployment of nextgeneration cellular networks. However, mutual interference between access and backhaul links, small inter-site distance and spatial dynamics of user distribution pose major challenges in the practical deployment of IAB networks. To tackle these problems, we leverage the flying capabilities of unmanned aerial vehicles (UAVs) as hovering IAB-nodes and propose an interference management algorithm to maximize the overall sum rate of the IAB network. In particular, we jointly optimize the user and base station associations, the downlink power allocations for access and backhaul transmissions, and the spatial configurations of UAVs. We consider two spatial configuration modes of UAVs: distributed UAVs and drone antenna array (DAA), and show how they are intertwined with the spatial distribution of ground users. Our numerical results show that the proposed algorithm achieves an average of 2.9× and 6.7× gains in the received downlink signal-to-interference-plus-noise ratio (SINR) and overall network sum rate, respectively. Finally, the numerical results reveal that UAVs cannot only be used for coverage improvement but also for capacity boosting in IAB cellular networks.Index Terms-3D localization, downlink, drone, drone antenna array (DAA), in-band, integrated access and backhaul (IAB), optimization, UAV.

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“…The challenge lies in the newly introduced cross-tier interference by spectrum sharing between the access and backhaul links. Recently, several research efforts have been made to address the resource management issue for full-duplex self-backhauled wireless networks [7]- [10]. The authors in [7] demonstrated that compared with a conventional time-division duplex (TDD)/frequency-division duplex (FDD) self-backhauled network, the downlink rate in the full-duplex of relays, and the relay clusters of the destinations can overlap with each other.…”

Section: Introductionmentioning

confidence: 99%

User-Centric Joint Access-Backhaul Design for Full-Duplex Self-Backhauled Wireless Networks

Chen

Tao

Zhang

2019

IEEE Trans. Commun.

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Full-duplex self-backhauling is promising to provide cost-effective and flexible backhaul connectivity for ultra-dense wireless networks, but also poses a great challenge to resource management between the access and backhaul links. In this paper, we propose a user-centric joint access-backhaul transmission framework for full-duplex self-backhauled wireless networks. In the access link, user-centric clustering is adopted so that each user is cooperatively served by multiple small base stations (SBSs). In the backhaul link, user-centric multicast transmission is proposed so that each user's message is treated as a common message and multicast to its serving SBS cluster. We first formulate an optimization problem to maximize the network weighted sum rate through joint access-backhaul beamforming and SBS clustering when global channel state information (CSI) is available. This problem is efficiently solved via the successive lower-bound maximization approach with a novel approximate objective function and the iterative link removal technique. We then extend the study to the stochastic joint access-backhaul beamforming optimization with partial CSI. Simulation results demonstrate the effectiveness of the proposed algorithms for both full CSI and partial CSI scenarios. They also show that the transmission design with partial CSI can greatly reduce the CSI overhead with little performance degradation. Index TermsFull-duplex self-backhauling, joint access-backhaul design, user-centric clustering, successive lower-bound maximization (SLBM), partial CSI. ). 2 self-backhauled heterogeneous network is nearly doubled, but at the expense of reduced coverage due to higher interference. By employing massive MIMO and transmit beamforming at the MBS, the authors in [8] derived the downlink coverage probability of a small cell user considering both the in-band and out-band full-duplex modes of a given SBS. Besides, the authors in [9] studied a joint cell association and power allocation problem for energy efficiency maximization. An advanced block digitalization precoding scheme was proposed to eliminate the cross-tier interference and multi-user interference. The authors in [10] studied a joint scheduling and interference mitigation problem for network utility maximization. A regularized zero-forcing precoding scheme and the SBS operation mode switching (between fullduplex and half-duplex) were jointly considered to mitigate both the co-tier interference and the cross-tier interference. Note that in [7]-[10], it is assumed that each user is associated with only one SBS in the access link and no inter-site cooperation is considered.Multi-cell cooperation (e.g., CoMP) is a promising technique to mitigate the inter-cell interference by allowing the user data to be jointly processed by several interfering cell sites, thus mimicking a large virtual MIMO system [11], [12]. Exploiting the inter-site cooperation, the authors in [13] studied the joint access and backhaul resource management for ultra-dense networks. Both joint transmissio...

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Joint Load Balancing and Interference Mitigation in 5G Heterogeneous Networks

Cited by 73 publications

References 28 publications

Wireless Edge Computing With Latency and Reliability Guarantees

Wireless Edge Computing With Latency and Reliability Guarantees

Interference Management in UAV-Assisted Integrated Access and Backhaul Cellular Networks

User-Centric Joint Access-Backhaul Design for Full-Duplex Self-Backhauled Wireless Networks

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