733 research outputs found
Performance Analysis of Unsupervised LTE Device-to-Device (D2D) Communication
Cellular network technology based device-to-device communication attracts
increasing attention for use cases such as the control of autonomous vehicles
on the ground and in the air. LTE provides device-to-device communication
options, however, the configuration options are manifold (leading to 150+
possible combinations) and therefore the ideal combination of parameters is
hard to find. Depending on the use case, either throughput, reliability or
latency constraints may be the primary concern of the service provider. In this
work we analyze the impact of different configuration settings of unsupervised
LTE device-to-device (sidelink) communication on the system performance. Using
a simulative approach we vary the length of the PSCCH period and the number of
PSCCH subframes and determine the impact of different combinations of those
parameters on the resulting latency, reliability and the interarrival times of
the received packets. Furthermore we examine the system limitations by a
scalability analysis. In this context, we propose a modified HARQ process to
mitigate scalability constraints. Our results show that the proposed reduced
HARQ retransmission probability can increase the system performance regarding
latency and interarrival times as well as the packet transmission reliability
for higher channel utilization
Joint Scheduling and ARQ for MU-MIMO Downlink in the Presence of Inter-Cell Interference
User scheduling and multiuser multi-antenna (MU-MIMO) transmission are at the
core of high rate data-oriented downlink schemes of the next-generation of
cellular systems (e.g., LTE-Advanced). Scheduling selects groups of users
according to their channels vector directions and SINR levels. However, when
scheduling is applied independently in each cell, the inter-cell interference
(ICI) power at each user receiver is not known in advance since it changes at
each new scheduling slot depending on the scheduling decisions of all
interfering base stations. In order to cope with this uncertainty, we consider
the joint operation of scheduling, MU-MIMO beamforming and Automatic Repeat
reQuest (ARQ). We develop a game-theoretic framework for this problem and build
on stochastic optimization techniques in order to find optimal scheduling and
ARQ schemes. Particularizing our framework to the case of "outage service
rates", we obtain a scheme based on adaptive variable-rate coding at the
physical layer, combined with ARQ at the Logical Link Control (ARQ-LLC). Then,
we present a novel scheme based on incremental redundancy Hybrid ARQ (HARQ)
that is able to achieve a throughput performance arbitrarily close to the
"genie-aided service rates", with no need for a genie that provides
non-causally the ICI power levels. The novel HARQ scheme is both easier to
implement and superior in performance with respect to the conventional
combination of adaptive variable-rate coding and ARQ-LLC.Comment: Submitted to IEEE Transactions on Communications, v2: small
correction
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