52 research outputs found
Non-Orthogonal Multiple Access for mmWave Drones with Multi-Antenna Transmission
Unmanned aerial vehicles (UAVs) can be deployed as aerial base stations (BSs)
for rapid establishment of communication networks during temporary events and
after disasters. Since UAV-BSs are low power nodes, achieving high spectral and
energy efficiency are of paramount importance. In this paper, we introduce
non-orthogonal multiple access (NOMA) transmission for millimeter-wave (mmWave)
drones serving as flying BSs at a large stadium potentially with several
hundreds or thousands of mobile users. In particular, we make use of
multi-antenna techniques specifically taking into consideration the physical
constraints of the antenna array, to generate directional beams. Multiple users
are then served within the same beam employing NOMA transmission. If the UAV
beam can not cover entire region where users are distributed, we introduce beam
scanning to maximize outage sum rates. The simulation results reveal that, with
NOMA transmission the spectral efficiency of the UAV based communication can be
greatly enhanced compared to orthogonal multiple access (OMA) transmission.
Further, the analysis shows that there is an optimum transmit power value for
NOMA beyond which outage sum rates do not improve further
Joint Channel Estimation and Decoding with Low-Complexity Iterative Structures in Time-Varying Fading Channels
A low-complexity iterative channel estimation (ICE) algorithm is proposed with the promise of improved error performance. The new algorithm operates the LMS filter both in the forward and the backward directions along a block. The feedback from the decoder to the estimator is in the form of soft decisions. The pilot symbol assisted modulation (PSAM) is used as the transmission technique. The effect of code choice on various ICE algorithms is also explored by considering the blockwise concatenated codes initially offered for block-fading channels. The performance of the new estimation algorithm with the proposed coding is shown to outperform the conventional estimation algorithms over a fast time-varying Rayleigh fading channel beside its low complexity structure
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