1,429 research outputs found
Proportional Fair RAT Aggregation in HetNets
Heterogeneity in wireless network architectures (i.e., the coexistence of 3G,
LTE, 5G, WiFi, etc.) has become a key component of current and future
generation cellular networks. Simultaneous aggregation of each client's traffic
across multiple such radio access technologies (RATs) / base stations (BSs) can
significantly increase the system throughput, and has become an important
feature of cellular standards on multi-RAT integration. Distributed algorithms
that can realize the full potential of this aggregation are thus of great
importance to operators. In this paper, we study the problem of resource
allocation for multi-RAT traffic aggregation in HetNets (heterogeneous
networks). Our goal is to ensure that the resources at each BS are allocated so
that the aggregate throughput achieved by each client across its RATs satisfies
a proportional fairness (PF) criterion. In particular, we provide a simple
distributed algorithm for resource allocation at each BS that extends the PF
allocation algorithm for a single BS. Despite its simplicity and lack of
coordination across the BSs, we show that our algorithm converges to the
desired PF solution and provide (tight) bounds on its convergence speed. We
also study the characteristics of the optimal solution and use its properties
to prove the optimality of our algorithm's outcomes.Comment: Extended version of the 31st International Teletraffic Congress (ITC
2019) conference pape
Separation Framework: An Enabler for Cooperative and D2D Communication for Future 5G Networks
Soaring capacity and coverage demands dictate that future cellular networks
need to soon migrate towards ultra-dense networks. However, network
densification comes with a host of challenges that include compromised energy
efficiency, complex interference management, cumbersome mobility management,
burdensome signaling overheads and higher backhaul costs. Interestingly, most
of the problems, that beleaguer network densification, stem from legacy
networks' one common feature i.e., tight coupling between the control and data
planes regardless of their degree of heterogeneity and cell density.
Consequently, in wake of 5G, control and data planes separation architecture
(SARC) has recently been conceived as a promising paradigm that has potential
to address most of aforementioned challenges. In this article, we review
various proposals that have been presented in literature so far to enable SARC.
More specifically, we analyze how and to what degree various SARC proposals
address the four main challenges in network densification namely: energy
efficiency, system level capacity maximization, interference management and
mobility management. We then focus on two salient features of future cellular
networks that have not yet been adapted in legacy networks at wide scale and
thus remain a hallmark of 5G, i.e., coordinated multipoint (CoMP), and
device-to-device (D2D) communications. After providing necessary background on
CoMP and D2D, we analyze how SARC can particularly act as a major enabler for
CoMP and D2D in context of 5G. This article thus serves as both a tutorial as
well as an up to date survey on SARC, CoMP and D2D. Most importantly, the
article provides an extensive outlook of challenges and opportunities that lie
at the crossroads of these three mutually entangled emerging technologies.Comment: 28 pages, 11 figures, IEEE Communications Surveys & Tutorials 201
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