3 research outputs found
Bayesian Compressive Sensing Assisted Space Time Block Coded Quadrature Spatial Modulation
A novel Multiple-Input and Multiple-
Output (MIMO) transmission scheme termed as Space-
Time Block Coded Quadrature Spatial Modulation
(STBC-QSM) is proposed. It amalgamates the concept
of Quadrature Spatial Modulation (QSM) and Space-
Time Block Coding (STBC) to exploit the diversity
benefits of STBC relying on sparse Radio Frequency
(RF) chains. In the proposed STBC-QSM scheme, the
conventional constellation points of the STBC structure
are replaced by the QSM symbols, hence the
information bits are conveyed both by the antenna
indices as well as by conventional STBC blocks. Furthermore,
an efficient Bayesian Compressive Sensing
(BCS) algorithm is developed for our proposed STBCQSM
system. Both our analytical and simulation results
demonstrated that the proposed scheme is capable
of providing considerable performance gains over the
existing schemes. Moreover, the proposed BCS detector
is capable of approaching the Maximum Likelihood
(ML) detector’s performance despite only imposing a
complexity near similar to that of the Minimum Mean
Square Error (MMSE) detector in the high Signal to
Noise Ratio (SNR) regions
Bayesian compressive sensing assisted space time block coded quadrature spatial modulation
A novel Multiple-Input and Multiple-Output (MIMO) transmission scheme termed as Space-Time Block Coded Quadrature Spatial Modulation (STBC-QSM) is proposed. It amalgamates the concept of Quadrature Spatial Modulation (QSM) and Space-Time Block Coding (STBC) to exploit the diversity benefits of STBC relying on sparse Radio Frequency (RF) chains. In the proposed STBC-QSM scheme, the conventional constellation points of the STBC structure are replaced by the QSM symbols, hence the information bits are conveyed both by the antenna indices as well as by conventional STBC blocks. Furthermore, an efficient Bayesian Compressive Sensing (BCS) algorithm is developed for our proposed STBC-QSM system. Both our analytical and simulation results demonstrated that the proposed scheme is capable of providing considerable performance gains over the existing schemes. Moreover, the proposed BCS detector is capable of approaching the Maximum Likelihood (ML) detector’s performance despite only imposing a complexity near similar to that of the Minimum Mean Square Error (MMSE) detector in the high Signal toNoise Ratio (SNR) regions.<br/
Multidimensional Index Modulation for 5G and Beyond Wireless Networks
This study examines the flexible utilization of existing IM techniques in a
comprehensive manner to satisfy the challenging and diverse requirements of 5G
and beyond services. After spatial modulation (SM), which transmits information
bits through antenna indices, application of IM to orthogonal frequency
division multiplexing (OFDM) subcarriers has opened the door for the extension
of IM into different dimensions, such as radio frequency (RF) mirrors, time
slots, codes, and dispersion matrices. Recent studies have introduced the
concept of multidimensional IM by various combinations of one-dimensional IM
techniques to provide higher spectral efficiency (SE) and better bit error rate
(BER) performance at the expense of higher transmitter (Tx) and receiver (Rx)
complexity. Despite the ongoing research on the design of new IM techniques and
their implementation challenges, proper use of the available IM techniques to
address different requirements of 5G and beyond networks is an open research
area in the literature. For this reason, we first provide the dimensional-based
categorization of available IM domains and review the existing IM types
regarding this categorization. Then, we develop a framework that investigates
the efficient utilization of these techniques and establishes a link between
the IM schemes and 5G services, namely enhanced mobile broadband (eMBB),
massive machine-type communications (mMTC), and ultra-reliable low-latency
communication (URLLC). Additionally, this work defines key performance
indicators (KPIs) to quantify the advantages and disadvantages of IM techniques
in time, frequency, space, and code dimensions. Finally, future recommendations
are given regarding the design of flexible IM-based communication systems for
5G and beyond wireless networks.Comment: This work has been submitted to Proceedings of the IEEE for possible
publicatio