2,359 research outputs found
Joint Resource Partitioning and Offloading in Heterogeneous Cellular Networks
In heterogeneous cellular networks (HCNs), it is desirable to offload mobile
users to small cells, which are typically significantly less congested than the
macrocells. To achieve sufficient load balancing, the offloaded users often
have much lower SINR than they would on the macrocell. This SINR degradation
can be partially alleviated through interference avoidance, for example time or
frequency resource partitioning, whereby the macrocell turns off in some
fraction of such resources. Naturally, the optimal offloading strategy is
tightly coupled with resource partitioning; the optimal amount of which in turn
depends on how many users have been offloaded. In this paper, we propose a
general and tractable framework for modeling and analyzing joint resource
partitioning and offloading in a two-tier cellular network. With it, we are
able to derive the downlink rate distribution over the entire network, and an
optimal strategy for joint resource partitioning and offloading. We show that
load balancing, by itself, is insufficient, and resource partitioning is
required in conjunction with offloading to improve the rate of cell edge users
in co-channel heterogeneous networks
Sensitive White Space Detection with Spectral Covariance Sensing
This paper proposes a novel, highly effective spectrum sensing algorithm for
cognitive radio and whitespace applications. The proposed spectral covariance
sensing (SCS) algorithm exploits the different statistical correlations of the
received signal and noise in the frequency domain. Test statistics are computed
from the covariance matrix of a partial spectrogram and compared with a
decision threshold to determine whether a primary signal or arbitrary type is
present or not. This detector is analyzed theoretically and verified through
realistic open-source simulations using actual digital television signals
captured in the US. Compared to the state of the art in the literature, SCS
improves sensitivity by 3 dB for the same dwell time, which is a very
significant improvement for this application. Further, it is shown that SCS is
highly robust to noise uncertainty, whereas many other spectrum sensors are
not
A Stochastic-Geometry Approach to Coverage in Cellular Networks with Multi-Cell Cooperation
Multi-cell cooperation is a promising approach for mitigating inter-cell
interference in dense cellular networks. Quantifying the performance of
multi-cell cooperation is challenging as it integrates physical-layer
techniques and network topologies. For tractability, existing work typically
relies on the over-simplified Wyner-type models. In this paper, we propose a
new stochastic-geometry model for a cellular network with multi-cell
cooperation, which accounts for practical factors including the irregular
locations of base stations (BSs) and the resultant path-losses. In particular,
the proposed network-topology model has three key features: i) the cells are
modeled using a Poisson random tessellation generated by Poisson distributed
BSs, ii) multi-antenna BSs are clustered using a hexagonal lattice and BSs in
the same cluster mitigate mutual interference by spatial interference
avoidance, iii) BSs near cluster edges access a different sub-channel from that
by other BSs, shielding cluster-edge mobiles from strong interference. Using
this model and assuming sparse scattering, we analyze the shapes of the outage
probabilities of mobiles served by cluster-interior BSs as the average number
of BSs per cluster increases. The outage probability of a mobile near a
cluster center is shown to be proportional to where
is the fraction of BSs lying in the interior of clusters and is a
constant. Moreover, the outage probability of a typical mobile is proved to
scale proportionally with where is a constant.Comment: 5 page
Downlink SDMA with Limited Feedback in Interference-Limited Wireless Networks
The tremendous capacity gains promised by space division multiple access
(SDMA) depend critically on the accuracy of the transmit channel state
information. In the broadcast channel, even without any network interference,
it is known that such gains collapse due to interstream interference if the
feedback is delayed or low rate. In this paper, we investigate SDMA in the
presence of interference from many other simultaneously active transmitters
distributed randomly over the network. In particular we consider zero-forcing
beamforming in a decentralized (ad hoc) network where each receiver provides
feedback to its respective transmitter. We derive closed-form expressions for
the outage probability, network throughput, transmission capacity, and average
achievable rate and go on to quantify the degradation in network performance
due to residual self-interference as a function of key system parameters. One
particular finding is that as in the classical broadcast channel, the per-user
feedback rate must increase linearly with the number of transmit antennas and
SINR (in dB) for the full multiplexing gains to be preserved with limited
feedback. We derive the throughput-maximizing number of streams, establishing
that single-stream transmission is optimal in most practically relevant
settings. In short, SDMA does not appear to be a prudent design choice for
interference-limited wireless networks.Comment: Submitted to IEEE Transactions on Wireless Communication
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