The Capacity of Ad Hoc Networks with Heterogeneous Traffic Using Cooperation

Ji, Mingyue; Wang, Zheng; Sadjadpour, Hamid R.; Garcia-Luna-Aceves, J.J.

doi:10.1109/infcom.2010.5461903

Cited by 12 publications

(5 citation statements)

References 15 publications

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“…Liu et al in [25], extend this result by considering that not every node has data to send and not every node can be a destination. In [26], the authors extend [13] for the case in which a destination node is the sink for k source nodes, while the rest of the s = n − k nodes participate in unicast sessions. Liu and Wang in [27], investigate the heterogeneous network with multicast and unicast traffic.…”

Section: B Wdcs Scalabilitymentioning

confidence: 99%

On the Feasibility of Wireless Interconnects for High-throughput Data Centers

Khonsari,

Shariatpanahi,

Diyanat

et al. 2015

Preprint

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Data Centers (DCs) are required to be scalable to large data sets so as to accommodate everincreasing demands of resource-limited embedded and mobile devices. Thanks to the availability of recent high data rate millimeter-wave frequency spectrum such as 60GHz and due to the favorable attributes of this technology, wireless DC (WDC) exhibits the potentials of being a promising solution especially for small to medium scale DCs. This paper investigates the problem of throughput scalability of WDCs using the established theory of the asymptotic throughput of wireless multi-hop networks that are primarily proposed for homogeneous traffic conditions. The rate-heterogeneous traffic distribution of a data center however, requires the asymptotic heterogeneous throughput knowledge of a wireless network in order to study the performance and feasibility of WDCs for practical purposes. To answer these questions this paper presents a lower bound for the throughput scalability of a multi-hop rateheterogeneous network when traffic generation rates of all nodes are similar, except one node. We demonstrate that the throughput scalability of conventional multi-hopping and the spatial reuse of the above bi-rate network is inefficient and henceforth develop a speculative 2-partitioning scheme that improves the network throughput scaling potentials. A better lower bound of the throughput is then obtained. Finally, we obtain the throughput scaling of an i.i.d. rate-heterogeneous network and obtain its lower bound. Again we propose a speculative 2-partitioning scheme to achieve a network with higher throughput in terms of improved lower bound. All of the obtained results have been verified using simulation experiments.

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Section: B Wdcs Scalabilitymentioning

confidence: 99%

On the Feasibility of Wireless Interconnects for High-throughput Data Centers

Khonsari,

Shariatpanahi,

Diyanat

et al. 2015

Preprint

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“…The optimised power values in (30) are energy efficient for the two-hop single-relay systems. Moreover, the energy efficient joint source-relay PA study can be generalised to the more complicated relaying systems such as the multi-hop relaying networks and the multi-relaying system as in [31]. Take in the multi-hop relaying system as an example.…”

Section: Calculation Of Lagrangian Multipliermentioning

confidence: 99%

Optimal energy efficient joint power allocation for two‐hop single‐antenna relaying systems

Chunguo

Cioffi

Yang

2014

Trans. Emerging Tel Tech

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In this paper, the joint source-relay power allocation issue in green dual-hop single-antenna relaying systems is investigated from the energy efficiency point of view. By considering a practical power consumption model, the optimal transmit power of the source and that of the relay are derived in the form of analytical expressions based on the maximisation of energy efficiency with a guarantee of the required spectral efficiency. The novelty of the work lies in that the highly complicated optimisation problem is solved by deliberately manipulating the Lagrangian function using the properties of the Lambert function. It is shown that the optimal relay-to-source power ratio is adaptive to the ratio of the instantaneous two-hop channel gains. Numerical simulations have illustrated the effectiveness of our proposed scheme.

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“…Cooperative transmitting was introduced to improve multicast capacity in [11] and [16]. Rahul et al developed a system [17] that could dynamically increase the capacity with user demand.…”

Section: Related Workmentioning

confidence: 99%

Capacity of wireless networks with multiple types of multicast sessions

Zheng

Gao

et al. 2014

Proceedings of the 15th ACM International Symposium on Mobile Ad Hoc Networking and Computing

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A thorough understanding of capacity of wireless networks can help with effective design and efficient employment of wireless networks. Much effort has been spent on investigating capacity of multicast which is a popular communication model and generalization of unicast and broadcast. However, most previous works assume homogeneous traffic patterns, which is not meaningful for practical applications. This paper analyzes the capacity of wireless networks with multiple types of multicast sessions without the assumption of homogeneous traffic patterns. A new network model is proposed accommodating practical traffic patterns and the capacity is analyzed accordingly. A theoretical upper bound is derived, and a feasible transmission scheme with capacity lower bound is presented. Two bounds are asymptotically tight, that is, in the order of Θ(where a is the side length of the deployed region, r is the transmission range, ns is the number of multicast sessions, and ki and Ri are parameters of multicast session i. Furthermore, the variation of capacity towards different numbers of and distributions of destinations is illustrated.

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The Capacity of Ad Hoc Networks with Heterogeneous Traffic Using Cooperation

Cited by 12 publications

References 15 publications

On the Feasibility of Wireless Interconnects for High-throughput Data Centers

On the Feasibility of Wireless Interconnects for High-throughput Data Centers

Optimal energy efficient joint power allocation for two‐hop single‐antenna relaying systems

Capacity of wireless networks with multiple types of multicast sessions

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