11 research outputs found
Performance of Cross-layer Design with Multiple Outdated Estimates in Multiuser MIMO System
By combining adaptive modulation (AM) and automatic repeat request (ARQ) protocol as well as user scheduling, the cross-layer design scheme of multiuser MIMO system with imperfect feedback is presented, and multiple outdated estimates method is proposed to improve the system performance. Based on this method and imperfect feedback information, the closed-form expressions of spectral efficiency (SE) and packet error rate (PER) of the system subject to the target PER constraint are respectively derived. With these expressions, the system performance can be effectively evaluated. To mitigate the effect of delayed feedback, the variable thresholds (VTs) are also derived by means of the maximum a posteriori method, and these VTs include the conventional fixed thresholds (FTs) as special cases. Simulation results show that the theoretical SE and PER are in good agreement with the corresponding simulation. The proposed CLD scheme with multiple estimates can obtain higher SE than the existing CLD scheme with single estimate, especially for large delay. Moreover, the CLD scheme with VTs outperforms that with conventional FTs
Robustness maximization of parallel multichannel systems
Bit error rate (BER) minimization and SNR-gap maximization, two robustness
optimization problems, are solved, under average power and bit-rate
constraints, according to the waterfilling policy. Under peak-power constraint
the solutions differ and this paper gives bit-loading solutions of both
robustness optimization problems over independent parallel channels. The study
is based on analytical approach with generalized Lagrangian relaxation tool and
on greedy-type algorithm approach. Tight BER expressions are used for square
and rectangular quadrature amplitude modulations. Integer bit solution of
analytical continuous bit-rates is performed with a new generalized secant
method. The asymptotic convergence of both robustness optimizations is proved
for both analytical and algorithmic approaches. We also prove that, in
conventional margin maximization problem, the equivalence between SNR-gap
maximization and power minimization does not hold with peak-power limitation.
Based on a defined dissimilarity measure, bit-loading solutions are compared
over power line communication channel for multicarrier systems. Simulation
results confirm the asymptotic convergence of both allocation policies. In non
asymptotic regime the allocation policies can be interchanged depending on the
robustness measure and the operating point of the communication system. The low
computational effort of the suboptimal solution based on analytical approach
leads to a good trade-off between performance and complexity.Comment: 27 pages, 8 figures, submitted to IEEE Trans. Inform. Theor
Predictive relay-selection cooperative diversity in land mobile satellite systems
Cooperative diversity protocols promise a new dimension of diversity that
provides better communication by engaging nearby relays in forming a âvirtualâ array
of antennas for combined signal transmission. The current incremental cooperative
diversity algorithms incrementally select best relay(s) to cooperate based on the channel
quality reported by the relays. However, the algorithms do not take into consideration
the fact that the chosen best relay(s) at estimation may not always be best at the time of
communication. This is due to the time delay between the relay selection and its
transmission of signal (problem of outdated Channel Quality Information). To solve this
problem, the concept of channel prediction is introduced and employed whereby each
relay determines a predicted value of its Channel Quality Information (CQI) based on
its past measurements. The paper therefore develops a novel predictive relay-selection
(PRS) cooperative diversity model which seeks to improve Land Mobile Satellite (LMS)
communication through prediction protocols. In the model, the chosen best relay is the
one with the best predicted CQI value instead of the traditional outdated one.
Performance analysis of outage probability and average bit error probability for the
newly developed PRS cooperation shows that the PRS cooperation is better than direct
and outdated CQI relay communication.http://onlinelibrary.wiley.com/doi/10.1002/sat.11182017-03-31hb2016Electrical, Electronic and Computer Engineerin
Adaptive Transmission for OFDM
To respond to dynamic channel conditions caused by fading, shadowing, and other time-varying disturbances, orthogonal frequency division multiplexing (OFDM) packet radio systems should adapt transmission parameters on a packet-by-packet basis to maintain or improve performance over the channel. For this to be possible, there are three key ideas that must be addressed: first, how to determine the subchannel conditions; second, which transmission parameters should be adapted; and third, how to adapt those parameters intelligently. In this thesis, we propose a procedure for determining relative subchannel quality without using any traditional channel measurements. Instead, statistics derived solely from subcarrier error counts allow subchannels to be ranked by order of estimated quality; this order can be exploited for adapting transmission parameters. We investigate adaptive subcarrier power allocation, adaptive subcarrier modulation that allows different subcarriers in the same packet to use different modulation formats, and adaptive coding techniques for OFDM in fading channels. Analysis and systems simulation assess the accuracy of the subcarrier ordering as well as the throughput achieved by the proposed adaptive transmission protocol, showing good performance across a wide range of channel conditions
Studies on Trade-off Between Throughput and Reliability in Wireless Systems
In the first part of the thesis, we study the trade-off between the transmission reliability and data
rate in high signal-to-noise ratio regime in ad-hoc wireless
networks. Bandwidth allocation plays a significant role in this
trade-off, since dividing bandwidth reduces the number of users on
each band and consequently decreases the interference level, however
it also decreases the data rate. Noting that the interference power
is substantially influenced by the network density, this trade-off
introduces a measure for appropriate bandwidth allocation among
users considering the network density. The diversity-multiplexing trade-off
is derived for a one-dimensional regular ad-hoc
network.
In the second part of the thesis, we study the performance of point-to-point and broadcast systems
with partial channel state information at the transmitter in a time-varying environment.
First, the capacity of time-varying channels with
periodic feedback at the transmitter is evaluated. It is assumed that the
channel state information is perfectly known at the receiver
and is fed back to the transmitter at the regular time-intervals. The system capacity is investigated in two cases: i) finite state Markov channel, and
ii) additive white Gaussian noise channel with time-correlated fading. In a multiuser scenario, we consider a downlink system in which a single-antenna base
station communicates with single antenna users, over a
time-correlated fading channel. It is assumed that
channel state information is perfectly known at each receiver, while
the rate of channel variations and the fading
gain at the beginning of each frame are known to the transmitter. The asymptotic throughput of the
scheduling that transmits to the user with the maximum signal to
noise ratio is examined applying variable code rate and/or variable
codeword length signaling. It is shown that by selecting a fixed codeword
length for all users, the order of the maximum possible throughput (corresponding to quasi-static fading) is achieved
Spectrally-Temporally Adapted Spectrally Modulated Spectrally Encoded (SMSE) Waveform Design for Coexistent CR-Based SDR Applications
This work expands the applicability of the Spectrally Modulated, Spectrally Encoded (SMSE) framework by developing a waveform optimization process that enables intelligent waveform design. The resultant waveforms are capable of adapting to a spectrally diverse transmission channel while meeting coexistent constraints. SMSE waveform design is investigated with respect to two different forms of coexisting signal constraints, including those based on resultant interference levels and those based on resultant power spectrum shape. As demonstrated, the SMSE framework is well-suited for waveform optimization given its ability to allow independent design of spectral parameters. This utility is greatly enhanced when soft decision selection and dynamic assignment of SMSE design parameters are incorporated. Results show that by exploiting statistical knowledge of primary user spectral and temporal behavior, the inherent flexibility of the SMSE framework is effectively leveraged such that SMSE throughput (Bits/Sec) is maximized while limiting mutual coexistent interference to manageable levels
D13.2 Techniques and performance analysis on energy- and bandwidth-efficient communications and networking
Deliverable D13.2 del projecte europeu NEWCOM#The report presents the status of the research work of the
various Joint Research Activities (JRA) in WP1.3 and the results
that were developed up to the second year of the project. For
each activity there is a description, an illustration of the
adherence to and relevance with the identified fundamental
open issues, a short presentation of the main results, and a
roadmap for the future joint research. In the Annex, for each
JRA, the main technical details on specific scientific activities
are described in detail.Peer ReviewedPostprint (published version