Relay Placement in Wireless Networks: A Study of the Underlying Tradeoffs

Pourahmadi, Vahid; Fashandi, Shervan; Saleh, A.; Khandani, Amir K.

doi:10.1109/twc.2011.030411.101389

Cited by 13 publications

(4 citation statements)

References 18 publications

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“…Interference is often managed by allocating the unlicensed users with frequency resources that are disjoint to those of the licensed network, either through a completely different frequency band or a subset of the same band that is currently not in use [17]. Alternatively, the locations of interfering licensed users are assumed to be known and can be used to exploit spatial holes in a network's frequency resources [18]. Methods like [19], which assume a centralized controller with full knowledge of the network, are even more common.…”

Section: Introductionmentioning

confidence: 99%

Spectrum Sharing Scheme Between Cellular Users and Ad-hoc Device-to-Device Users

Kaufman

Lilleberg

Aazhang

2013

IEEE Trans. Wireless Commun.

180

120

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In an attempt to utilize spectrum resources more efficiently, protocols sharing licensed spectrum with unlicensed users are receiving increased attention. From the perspective of cellular networks, spectrum underutilization makes spatial reuse a feasible complement to existing standards. Interference management is a major component in designing these schemes as it is critical that licensed users maintain their expected quality of service. We develop a distributed dynamic spectrum protocol in which ad-hoc device-to-device users opportunistically access the spectrum actively in use by cellular users.First, channel gain estimates are used to set feasible transmit powers for device-to-device users that keeps the interference they cause within the allowed interference temperature. Then network information is distributed by route discovery packets in a random access manner to help establish either a single-hop or multi-hop route between two device-to-device users. We show that network information in the discovery packet can decrease the failure rate of the route discovery and reduce the number of necessary transmissions to find a route. Using the found route, we show that two device-to-device users can communicate with a low probability of outage while only minimally affecting the cellular network, and can achieve significant power savings when communicating directly with each other instead of utilizing the cellular base station.

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Section: Introductionmentioning

confidence: 99%

Spectrum Sharing Scheme Between Cellular Users and Ad-hoc Device-to-Device Users

Kaufman

Lilleberg

Aazhang

2013

IEEE Trans. Wireless Commun.

180

120

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“…In [7] the authors studied the selection scheme based on adaptive relay location. In [8] the authors using vector quantization method, studied the uplink transmission in relay location optimization problem. In [9] the authors put the system capacity as objective function, and the relay position optimization problem of two kinds of cooperation mode cell were studied.…”

Section: Introductionmentioning

confidence: 99%

Relay Location Choice for CR Networks with Multi-Group Multicast Based on Inter-group and Inner-group Cooperation Transmission

Tang¹,

Yang²,

Zhang³

2016

Proceedings of the International Conference on Promotion of Information Technology (ICPIT 2016)

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In view of the cognitive radio network more groups of multicast, this paper proposes a multicast group matching based on collaboration between groups of information transmission mechanism. We formulate an overall rate optimization problem based on relay location and primary user (PU) location with interference constraints to the PU and peak power constraint of each user and obtain the optimal solution by theoretical analysis in this new transmission model. Numerical results show the impact of relay location and PU location on rate for every multicast group.

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“…This also allows to aggregate traffic packets originated from low-power Machine-Type Devices (MTDs) and dispatch them to a Base Station (BS), preventing the network access to overload and accommodate devices characterized by poor communication links [9]. However, relay-based schemes implicitly assume the presence of helper nodes, which not only increase the network operational expenditure, but also consume some of the radio resources to transmit the aggregated traffic to the BS, thus leading to the degradation of the network performance [10].…”

Section: Introductionmentioning

confidence: 99%

Aggregation and trunking of M2M traffic via D2D connections

Rigazzi¹,

Pratas²,

Popovski³

et al. 2015

2015 IEEE International Conference on Communications (ICC)

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Machine-to-Machine (M2M) communications is one of the key enablers of the Internet of Things (IoT). Billions of devices are expected to be deployed in the near future for novel M2M applications demanding ubiquitous access and global connectivity. In order to cope with the massive number of machines, there is a need for new techniques to coordinate the access and allocate the resources. Although the majority of the proposed solutions are focused on the adaptation of the traditional cellular networks to the M2M traffic patterns, novel approaches based on the direct communication among nearby devices may represent an effective way to avoid access congestion and cell overload. In this paper, we propose a new strategy inspired by the classical Trunked Radio Systems (TRS), exploiting the Device-to-Device (D2D) connectivity between cellular users and Machine-Type Devices (MTDs). The aggregation of the locally generated packets is performed by a user device, which aggregates the machine-type data, supplements it with its own data and transmits all of them to the Base Station. We observe a fundamental trade-off between latency and the transmit power needed to deliver the aggregate traffic, in a sense that lower latency requires increase in the transmit power.Index Terms-D2D, M2M, trunking, TDMA IEEE ICC 2015 -Mobile and Wireless Networking Symposium 978-1-4673-6432-4/15/$31.00 ©2015 IEEE

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Relay Placement in Wireless Networks: A Study of the Underlying Tradeoffs

Cited by 13 publications

References 18 publications

Spectrum Sharing Scheme Between Cellular Users and Ad-hoc Device-to-Device Users

Spectrum Sharing Scheme Between Cellular Users and Ad-hoc Device-to-Device Users

Relay Location Choice for CR Networks with Multi-Group Multicast Based on Inter-group and Inner-group Cooperation Transmission

Aggregation and trunking of M2M traffic via D2D connections

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