56,447 research outputs found
Capacity of Cellular Wireless Network
Earlier definitions of capacity for wireless networks, e.g., transport or
transmission capacity, for which exact theoretical results are known, are well
suited for ad hoc networks but are not directly applicable for cellular
wireless networks, where large-scale basestation (BS) coordination is not
possible, and retransmissions/ARQ under the SINR model is a universal feature.
In this paper, cellular wireless networks, where both BS locations and mobile
user (MU) locations are distributed as independent Poisson point processes are
considered, and each MU connects to its nearest BS. With ARQ, under the SINR
model, the effective downlink rate of packet transmission is the reciprocal of
the expected delay (number of retransmissions needed till success), which we
use as our network capacity definition after scaling it with the BS density.
Exact characterization of this natural capacity metric for cellular wireless
networks is derived. The capacity is shown to first increase polynomially with
the BS density in the low BS density regime and then scale inverse
exponentially with the increasing BS density. Two distinct upper bounds are
derived that are relevant for the low and the high BS density regimes. A single
power control strategy is shown to achieve the upper bounds in both the
regimes. This result is fundamentally different from the well known capacity
results for ad hoc networks, such as transport and transmission capacity that
scale as the square root of the (high) BS density. Our results show that the
strong temporal correlations of SINRs with PPP distributed BS locations is
limiting, and the realizable capacity in cellular wireless networks in high-BS
density regime is much smaller than previously thought. A byproduct of our
analysis shows that the capacity of the ALOHA strategy with retransmissions is
zero.Comment: A shorter version to appear in WiOpt 201
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Wireless communication methods, systems, and computer program products
A method, wireless device and computer program product for expanding the coverage of a cellular network. A wireless device (e.g., cellular telephone) is able to communicate with a base station in a cell of the cellular network over a non-cellular interface via another wireless device in a cell through the use of multi-hopping. A wireless device may request permission to communicate with the base station over a non-cellular interface via hopping off another wireless device when its signal strength is below a threshold. Alternatively, a wireless device may receive a request to communicate with the base station over a non-cellular interface via hopping off the wireless device that sent the request when that wireless device has excess capacity in its bandwidth with the base station. By enabling wireless devices to communicate with a base station in such a manner, the effective capacity of the cellular network is expanded and the effective capacity of the cellular network is improved.Board of Regents, University of Texas Syste
Cellular Underwater Wireless Optical CDMA Network: Potentials and Challenges
Underwater wireless optical communications is an emerging solution to the
expanding demand for broadband links in oceans and seas. In this paper, a
cellular underwater wireless optical code division multiple-access (UW-OCDMA)
network is proposed to provide broadband links for commercial and military
applications. The optical orthogonal codes (OOC) are employed as signature
codes of underwater mobile users. Fundamental key aspects of the network such
as its backhaul architecture, its potential applications and its design
challenges are presented. In particular, the proposed network is used as
infrastructure of centralized, decentralized and relay-assisted underwater
sensor networks for high-speed real-time monitoring. Furthermore, a promising
underwater localization and positioning scheme based on this cellular network
is presented. Finally, probable design challenges such as cell edge coverage,
blockage avoidance, power control and increasing the network capacity are
addressed.Comment: 11 pages, 10 figure
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Network routing system, method, and computer program product
A method, system, or computer program product to enhance the performance of multi-hop cellular networks or other wireless networks is provided. A wireless device (e.g., cellular telephone) is able to communicate with a base-station in a cell of the cellular network over a non-cellular interface via another wireless device in the cell through the use of multi-hopping. By enabling wireless devices to communicate with a base station in such a manner, the effective coverage area of the cellular network is expanded and the effective capacity of the cellular network is improved. Distributed routing, device management, adaptive scheduling, and distributed algorithms can be used to enhance the overall performance of multi-hop cellular networks.Board of Regents, University of Texas Syste
Impact of network structure on the capacity of wireless multihop ad hoc communication
As a representative of a complex technological system, so-called wireless
multihop ad hoc communication networks are discussed. They represent an
infrastructure-less generalization of todays wireless cellular phone networks.
Lacking a central control authority, the ad hoc nodes have to coordinate
themselves such that the overall network performs in an optimal way. A
performance indicator is the end-to-end throughput capacity.
Various models, generating differing ad hoc network structure via differing
transmission power assignments, are constructed and characterized. They serve
as input for a generic data traffic simulation as well as some semi-analytic
estimations. The latter reveal that due to the most-critical-node effect the
end-to-end throughput capacity sensitively depends on the underlying network
structure, resulting in differing scaling laws with respect to network size.Comment: 30 pages, to be published in Physica
Capacity allocation in wireless communication networks : models and analyses
This monograph has concentrated on capacity allocation in cellular and Wireless Local Area Networks, primarily with a network operator’s perspective. In the introduc- tory chapter, a reference model has been proposed for the extensive suite of capacity allocation mechanisms that can be applied at different time scales, in order to influ- ence the inherent trade-offs between investment costs, network capacity and service quality. The subsequent chapters presented a number of comprehensive studies with the objective to understand the joint impact of the different control mechanisms on the network operations and service provisioning, as well as the influence of the largely uncontrollable traffic and mobility characteristics on the system- and service-level performance
Performance evaluation of 5G millimeter-wave cellular access networks using a capacity-based network deployment tool
The next fifth generation (5G) of wireless communication networks comes with a set of new features to satisfy the demand of data-intensive applications: millimeter-wave frequencies, massive antenna arrays, beamforming, dense cells, and so forth. In this paper, we investigate the use of beamforming techniques through various architectures and evaluate the performance of 5G wireless access networks, using a capacity-based network deployment tool. This tool is proposed and applied to a realistic area in Ghent, Belgium, to simulate realistic 5G networks that respond to the instantaneous bit rate required by the active users. The results show that, with beamforming, 5G networks require almost 15% more base stations and 4 times less power to provide more capacity to the users and the same coverage performances, in comparison with the 4G reference network. Moreover, they are 3 times more energy efficient than the 4G network and the hybrid beamforming architecture appears to be a suitable architecture for beamforming to be considered when designing a 5G cellular network
Optimal Non-uniform Deployments in Ultra-Dense Finite-Area Cellular Networks
Network densification and heterogenisation through the deployment of small
cellular access points (picocells and femtocells) are seen as key mechanisms in
handling the exponential increase in cellular data traffic. Modelling such
networks by leveraging tools from Stochastic Geometry has proven particularly
useful in understanding the fundamental limits imposed on network coverage and
capacity by co-channel interference. Most of these works however assume
infinite sized and uniformly distributed networks on the Euclidean plane. In
contrast, we study finite sized non-uniformly distributed networks, and find
the optimal non-uniform distribution of access points which maximises network
coverage for a given non-uniform distribution of mobile users, and vice versa.Comment: 4 Pages, 6 Figures, Letter for IEEE Wireless Communication
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