Backhaul as a Bottleneck in IEEE 802.16e Networks

Lakkakorpi, Jani; Sayenko, Alexander

doi:10.1109/glocom.2008.ecp.248

Cited by 7 publications

(7 citation statements)

References 13 publications

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“…Several QoS contributions [16]- [18] have been proposed to deal with the congestion issue in 802.16e Mesh mode. Indeed, the 802.16e MAC provides multiple QoS scheduling services, for voice, video, and data applications.…”

Section: Related Workmentioning

confidence: 99%

Toward Fuzzy Traffic Adaptation Solution in Wireless Mesh Networks

Khoukhi

Masri

Sardouk³

et al. 2014

IEEE Trans. Comput.

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Wireless technologies are becoming an essential part of our daily life. These technologies are expected to provide a wide variety of real-time applications; hence, there is a vital need to provide quality-of-Service (QoS) support. One of the key mechanisms to support QoS is traffic regulation. The basic idea behind traffic regulation is to measure the network state (e.g., load) in order to adapt the rate of carefully selected application flows. In this paper, we propose a novel model, called FuzzyWMN, which can be used to implement traffic adaptation in Wireless Mesh Networks (WMNs).The objective of FuzzyWMN is to compute the rate adaptation to apply to application flows according to the current network state; it relies on two parameters to meet this objective: (1) packet delays between sources and destinations; and (2) buffer occupancy of network nodes. The proposed model combines the essential notions of both fuzzy logic theory and Petri nets; this enables FuzzyWMN to realize traffic adaptation in networks characterized by information uncertainty and imprecision due to the dynamic traffic behavior, channel interferences, etc. Extensive simulations show that FuzzyWMN achieves stable end-to-end delay and good throughput under different network conditions.

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Section: Related Workmentioning

confidence: 99%

Toward Fuzzy Traffic Adaptation Solution in Wireless Mesh Networks

Khoukhi

Masri

Sardouk³

et al. 2014

IEEE Trans. Comput.

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“…The set of constraints in (9) and (10) assures that no more resources than available are assigned to each BS. The third set of constraints (11) denotes that all users need to be assigned to a single BS, while (12) indicates the individual rate required by each user. Moreover, to avoid splitting or partial assignment of users, constraint (13) is used, which however leads to the combinatorial nature of the problem with exponentially growing complexity in the degrees of freedom.…”

Section: Problem Formulationmentioning

confidence: 99%

“…The constraint (11) related to group constraints can be easily taken into account by selecting, among possible assignments choices in (19), the one that provides the maximum weighted utility. Hence, the BS assignment problem can be solved by computing the set of 2N multipliers.…”

Section: Problem Formulationmentioning

confidence: 99%

“…As well, flow control mechanisms have been introduced in current mobile networks between BSs and radio controllers to partially mitigate traffic peaks in the backhaul links at the expenses of an increased delay in some services [9], [10]. Attending to previous considerations, the probability of facing a situation where the backhaul capacity of a given cell site becomes the bottleneck should not be underestimated [11].…”

Section: Introductionmentioning

confidence: 99%

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Enhanced base station assignment approach for coping with backhaul constraints in OFDMA-based cellular networks

Galeana

Ferrús

2010

2010 European Wireless Conference (EW)

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Abstract-In this paper we extend the base station (BS) assignment problem to incorporate backhaul related constraints into the assignment decision. This is motivated by the fact that the deployment of more spectral efficient radio access technologies are currently imposing stringent bandwidth requirements at cell sites, and there is a growing concern that backhaul network can become a new network bottleneck in certain deployment scenarios. Unlike existing assignment approaches, we propose a BS assignment algorithm envisioned as a suitable technique capable to cope, at some extent, with possible backhaul congestion situations in OFDMA-based systems. Simulation results demonstrate that the proposed algorithm can provide the same system capacity with less backhaul resources so that, under backhaul bottleneck situations, a better overall network performance is effectively achieved.

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“…In fact, capacity upgrades in the backhaul are expected to be carried out by operators gradually and, while it can be argued that to bring fiber to more cell towers in the backhaul would solve the last mile bandwidth problem, the fact is that there are far too many towers for this to be a near-term strategy. In this context, best practices for efficient backhaul design have been recently issued by NGMN Alliance [5] and there is an increasing number of solutions pushing for the adoption of more cost-effective transmission technologies than those used in most current deployments [3]- [6] along with new resource management functionality specifically tailored to tackle backhaul congestion [7]. As a matter of fact, flow control mechanisms have been already introduced in current mobile networks to partially mitigate traffic peaks in the backhaul at the expenses of an increased delay in some services [8], [9].…”

mentioning

confidence: 99%

Design and Evaluation of a Backhaul-Aware Base Station Assignment Algorithm for OFDMA-Based Cellular Networks

Galeana-Zapién

Ferrús

2010

IEEE Trans. Wireless Commun.

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Existing base station (BS) assignment methods in cellular networks are mainly driven by radio criteria since it is assumed that the only limiting resource factor is on the air interface. However, as enhanced air interfaces have been deployed, and mobile data and multimedia traffic increases, a growing concern is that the backhaul of the cellular network can become the bottleneck in certain deployment scenarios. In this paper, we extend the BS assignment problem to cope with possible backhaul congestion situations. A backhaul-aware BS assignment problem is modeled as an optimization problem using a utility-based framework, imposing constraints on both radio and backhaul resources, and mapped into a Multiple-Choice Multidimensional Knapsack Problem (MMKP). A novel heuristic BS assignment algorithm with polynomial time is formulated, evaluated and compared to classical schemes based exclusively on radio conditions. Simulation results demonstrate that the proposed algorithm can provide the same system capacity with less backhaul resources so that, under backhaul bottleneck situations, a better overall network performance is effectively achieved.Index Terms-BS assignment algorithms, mobile backhaul, OFDMA, radio resource management.

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Backhaul as a Bottleneck in IEEE 802.16e Networks

Cited by 7 publications

References 13 publications

Toward Fuzzy Traffic Adaptation Solution in Wireless Mesh Networks

Toward Fuzzy Traffic Adaptation Solution in Wireless Mesh Networks

Enhanced base station assignment approach for coping with backhaul constraints in OFDMA-based cellular networks

Design and Evaluation of a Backhaul-Aware Base Station Assignment Algorithm for OFDMA-Based Cellular Networks

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