184 research outputs found
Transmission Capacities for Overlaid Wireless Ad Hoc Networks with Outage Constraints
We study the transmission capacities of two coexisting wireless networks (a
primary network vs. a secondary network) that operate in the same geographic
region and share the same spectrum. We define transmission capacity as the
product among the density of transmissions, the transmission rate, and the
successful transmission probability (1 minus the outage probability). The
primary (PR) network has a higher priority to access the spectrum without
particular considerations for the secondary (SR) network, where the SR network
limits its interference to the PR network by carefully controlling the density
of its transmitters. Assuming that the nodes are distributed according to
Poisson point processes and the two networks use different transmission ranges,
we quantify the transmission capacities for both of these two networks and
discuss their tradeoff based on asymptotic analyses. Our results show that if
the PR network permits a small increase of its outage probability, the sum
transmission capacity of the two networks (i.e., the overall spectrum
efficiency per unit area) will be boosted significantly over that of a single
network.Comment: 6 pages, 5 figures, accepted by IEEE ICC 200
Overlaid Cellular and Mobile Ad Hoc Networks
In cellular systems using frequency division duplex, growing Internet
services cause unbalance of uplink and downlink traffic, resulting in poor
uplink spectrum utilization. Addressing this issue, this paper considers
overlaying an ad hoc network onto a cellular uplink network for improving
spectrum utilization and spatial reuse efficiency. Transmission capacities of
the overlaid networks are analyzed, which are defined as the maximum densities
of the ad hoc nodes and mobile users under an outage constraint. Using tools
from stochastic geometry, the capacity tradeoff curves for the overlaid
networks are shown to be linear. Deploying overlaid networks based on frequency
separation is proved to achieve higher network capacities than that based on
spatial separation. Furthermore, spatial diversity is shown to enhance network
capacities.Comment: 5 pages; submitted to IEEE ICCS 2008 (Guangzhou, P.R.China
Random Access Transport Capacity
We develop a new metric for quantifying end-to-end throughput in multihop
wireless networks, which we term random access transport capacity, since the
interference model presumes uncoordinated transmissions. The metric quantifies
the average maximum rate of successful end-to-end transmissions, multiplied by
the communication distance, and normalized by the network area. We show that a
simple upper bound on this quantity is computable in closed-form in terms of
key network parameters when the number of retransmissions is not restricted and
the hops are assumed to be equally spaced on a line between the source and
destination. We also derive the optimum number of hops and optimal per hop
success probability and show that our result follows the well-known square root
scaling law while providing exact expressions for the preconstants as well.
Numerical results demonstrate that the upper bound is accurate for the purpose
of determining the optimal hop count and success (or outage) probability.Comment: Submitted to IEEE Trans. on Wireless Communications, Sept. 200
Cooperative wireless networks
In the last few years, there have been a lot of interests in wireless ad-hoc networks as
they have remarkable commercial and military applications. Such wireless networks
have the benefit of avoiding a wired infrastructure. However, signal fading is a severe
problem for wireless communications particularly for the multi-hop transmissions in
the ad-hoc networks. Cooperative communication has been proposed as an effective
way to improve the quality of wireless links. The key idea is to have multiple wireless
devices at different locations cooperatively share their antenna resources and aid
each other’s transmission.
In this thesis, we develop effective algorithms for cooperative wireless ad-hoc
networks, and the performance of cooperative communication is measured based
on various criteria, such as cooperative region, power ratio and end-to-end performance.
For example, the proposed interference subtraction and supplementary cooperation
algorithms can significantly improve network throughput of a multi-hop routing.
Comprehensive simulations are carried out for all the proposed algorithms and
performance analysis, providing quantitative evidence and comparison over other
schemes. In our view, the new cooperative communication algorithms proposed
in this research enable wireless ad-hoc networks to improve radio unreliability and
meet future application requirements of high-speed and high-quality services with
high energy efficiency. The acquired new insights on the network performance of
the proposed algorithms can also provide precise guidelines for efficient designs of
practical and reliable communications systems. Hence these results will potentially
have a broad impact across a range of related areas, including wireless communications,
network protocols, radio transceiver design and information theory
An Upper Bound on Multi-hop Transmission Capacity with Dynamic Routing Selection
This paper develops upper bounds on the end-to-end transmission capacity of
multi-hop wireless networks. Potential source-destination paths are dynamically
selected from a pool of randomly located relays, from which a closed-form lower
bound on the outage probability is derived in terms of the expected number of
potential paths. This is in turn used to provide an upper bound on the number
of successful transmissions that can occur per unit area, which is known as the
transmission capacity. The upper bound results from assuming independence among
the potential paths, and can be viewed as the maximum diversity case. A useful
aspect of the upper bound is its simple form for an arbitrary-sized network,
which allows insights into how the number of hops and other network parameters
affect spatial throughput in the non-asymptotic regime. The outage probability
analysis is then extended to account for retransmissions with a maximum number
of allowed attempts. In contrast to prevailing wisdom, we show that
predetermined routing (such as nearest-neighbor) is suboptimal, since more hops
are not useful once the network is interference-limited. Our results also make
clear that randomness in the location of relay sets and dynamically varying
channel states is helpful in obtaining higher aggregate throughput, and that
dynamic route selection should be used to exploit path diversity.Comment: 14 pages, 5 figures, accepted to IEEE Transactions on Information
Theory, 201
Device-to-device communications: a performance analysis in the context of social comparison-based relaying
Device-to-device (D2D) communications are recognized as a key enabler of future cellular networks which will help to drive improvements in spectral efficiency and assist with the offload of network traffic. Among the transmission modes of D2D communications are single-hop and relay assisted multi-hop transmission. Relay-assisted D2D communications will be essential when there is an extended distance between the source and destination or when the transmit power of D2D user equipments (UEs) is constrained below a certain level. Although a number of works on relay-assisted D2D communications have been presented in the literature, most of those assume that relay nodes cooperate unequivocally. In reality, this cannot be assumed since there is little incentive to cooperate without a guarantee of future reciprocal behavior. Cooperation is a social behavior that depends on various factors, such as peer comparison, incentives, the cost to the donor and the benefit to the recipient. To incorporate the social behavior of D2D relay nodes, we consider the decision to relay using the donation game based on social comparison and characterize the probability of cooperation in an evolutionary context. We then apply this within a stochastic geometric framework to evaluate the outage probability and transmission capacity of relay assisted D2D communications. Through numerical evaluations, we investigate the performance gap between the ideal case of 100% cooperation and practical scenarios with a lower cooperation probability. It shows that practical scenarios achieve lower transmission capacity and higher outage probability than idealistic network views which assume full cooperation. After a sufficient number of generations, however, the cooperation probability follows the natural rules of evolution and the transmission performance of practical scenarios approach that of the full cooperation case, indicating that all D2D relay nodes adopt the same dominant cooperative strategy based on social comparison, without the need for enforcement by an external authority
Energy Harvesting Wireless Communications: A Review of Recent Advances
This article summarizes recent contributions in the broad area of energy
harvesting wireless communications. In particular, we provide the current state
of the art for wireless networks composed of energy harvesting nodes, starting
from the information-theoretic performance limits to transmission scheduling
policies and resource allocation, medium access and networking issues. The
emerging related area of energy transfer for self-sustaining energy harvesting
wireless networks is considered in detail covering both energy cooperation
aspects and simultaneous energy and information transfer. Various potential
models with energy harvesting nodes at different network scales are reviewed as
well as models for energy consumption at the nodes.Comment: To appear in the IEEE Journal of Selected Areas in Communications
(Special Issue: Wireless Communications Powered by Energy Harvesting and
Wireless Energy Transfer
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