9,787 research outputs found
Modeling, Analysis and Design for Carrier Aggregation in Heterogeneous Cellular Networks
Carrier aggregation (CA) and small cells are two distinct features of
next-generation cellular networks. Cellular networks with small cells take on a
very heterogeneous characteristic, and are often referred to as HetNets. In
this paper, we introduce a load-aware model for CA-enabled \textit{multi}-band
HetNets. Under this model, the impact of biasing can be more appropriately
characterized; for example, it is observed that with large enough biasing, the
spectral efficiency of small cells may increase while its counterpart in a
fully-loaded model always decreases. Further, our analysis reveals that the
peak data rate does not depend on the base station density and transmit powers;
this strongly motivates other approaches e.g. CA to increase the peak data
rate. Last but not least, different band deployment configurations are studied
and compared. We find that with large enough small cell density, spatial reuse
with small cells outperforms adding more spectrum for increasing user rate.
More generally, universal cochannel deployment typically yields the largest
rate; and thus a capacity loss exists in orthogonal deployment. This
performance gap can be reduced by appropriately tuning the HetNet coverage
distribution (e.g. by optimizing biasing factors).Comment: submitted to IEEE Transactions on Communications, Nov. 201
Modeling and Analysis of MPTCP Proxy-based LTE-WLAN Path Aggregation
Long Term Evolution (LTE)-Wireless Local Area Network (WLAN) Path Aggregation
(LWPA) based on Multi-path Transmission Control Protocol (MPTCP) has been under
standardization procedure as a promising and cost-efficient solution to boost
Downlink (DL) data rate and handle the rapidly increasing data traffic. This
paper aims at providing tractable analysis for the DL performance evaluation of
large-scale LWPA networks with the help of tools from stochastic geometry. We
consider a simple yet practical model to determine under which conditions a
native WLAN Access Point (AP) will work under LWPA mode to help increasing the
received data rate. Using stochastic spatial models for the distribution of
WLAN APs and LTE Base Stations (BSs), we analyze the density of active
LWPA-mode WiFi APs in the considered network model, which further leads to
closed-form expressions on the DL data rate and area spectral efficiency (ASE)
improvement. Our numerical results illustrate the impact of different network
parameters on the performance of LWPA networks, which can be useful for further
performance optimization.Comment: IEEE GLOBECOM 201
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