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In this paper, an effective low complexity generalized spatial modulation (GenSM) scheme with transmit antenna grouping is proposed for massive multi-input multi-output (MIMO) system to deal with the channel correlation among transmit antennas. In the proposed scheme, all transmit antennas are divided into several equal-sized groups, and spatial modulation (SM) is carried out to select one active...
The new spatial modulation schemes that appeared in the early twenty-first century allow for a new exploitation of the space to an increase in the spectral efficiency of MIMO systems. These new schemes commonly referred to as spatial modulations use the index of the transmit (resp. the receive) antenna to transmit additional data. We concentrate our study on the spatial modulations at the receiver...
In this paper we propose a low-computational-complexity channel estimation algorithm for the downlink of massive MIMO systems. This algorithm employs the expectation propagation and expectation maximization techniques, assuming a sparsity promoting conditional Gaussian prior distribution on the channels. Its computational complexity scales only linearly with the number of transmit antennas, the number...
In this paper, we propose an analog phase shifter aided spatial modulation scheme. The proposed scheme is able to send more spatial symbols than conventional spatial modulation (SM), while reserving the low complexity of single RF-chain MIMO structure. The main idea is to transmit Nt different phase-shifted copies of the digitally modulated signal through Nt antennas. In each time slot, the transmitted...
The recent concept of beamspace multiple-input-multiple-output (MIMO) enables the millimeter-wave (mmWave) MIMO system to reduce the radio-frequency chains by utilising beam selection and yet achieve near-optimal sum-rate performance. In this work, we study the lens antenna array as the transmit antenna at the base station for mmWave multiuser MIMO (MU-MIMO) system. Due to the direction-based energy...
Multiple-input multiple-output orthogonal frequency division multiplexing with index modulation (MIMO-OFDM-IM), which provides a flexible trade-off between spectral efficiency and error performance, is recently proposed as a promising transmission technique for energy-efficient 5G wireless communication systems. However, due to the dependence of subcarrier symbols within each subblock and the strong...
A general class of nonlinear Least Square Error (LSE) precoders in multi-user multiple-input multiple-output systems is analyzed using the replica method from statistical mechanics. A single cell downlink channel with N transmit antennas at the base station and K single-antenna users is considered. The data symbols are assumed to be iid Gaussian and the precoded symbols on each transmit antenna are...
This paper considers a multipair amplify-and-forward massive MIMO relaying system with low-resolution ADCs at both the relay and destinations. The channel state information (CSI) at the relay is obtained via pilot training, which is then utilized to perform simple maximum-ratio combining/maximum-ratio transmission processing by the relay. Also, it is assumed that the destinations use statistical CSI...
In this paper, the performance of an underlay multiple-input multiple-output (MIMO) cognitive radio system is analytically studied. In particular, the multiple antennas of the secondary transmitter operate in a spatial multiplexing transmission mode, while a zero-forcing (ZF) detector is employed at the secondary receiver. Additionally, the secondary system is interfered by multiple randomly distributed...
Multiple-input multiple-output (MIMO) systems are threatened by smart attackers, who apply programmable radio devices such as software defined radios to perform multiple types of attacks such as eavesdropping, jamming and spoofing. In this paper, MIMO transmission in the presence of smart attacks is formulated as a noncooperative game, in which a MIMO transmitter chooses its transmit power level and...
The research on detection algorithms for uplink multiuser Massive multi input multi output (MIMO) system is a hot-spot for 5G. The recent detection algorithms are constrained by the assumed condition that the receiving antennas' number should be equal to or larger than the transmitting antennas' number. For the overloaded case that the total number of transmitting antennas of users in a cell is larger...
We consider the beamforming design to maximize the energy-efficiency (EE) of a K link multiple-input multiple-output (MIMO) interference channel, where each link consists of two full-duplex (FD) nodes. We first transform the original fractional form optimization problem into an equivalent subtractive-form optimization problem by exploiting the properties of fractional programming, and then perform...
Massive multiple input multiple output communication is now possible using millimeter wave frequency band. In this paper a transmit antenna selection algorithm is developed which satisfies a quality of service (QoS) for a given user. In order to achieve a particular level of QoS, the number of transmit antennas required is determined by remodeling it as a Knapsack Problem (KP). The smallest subset...
Distributed Measurement Systems (DMSs) typically rely on real-time communication networks, since these latter allow to achieve timely and efficient data transfer among the distributed measurement nodes. The most suitable networks to this purpose are industrial communication systems such as fieldbuses and industrial Ethernet. In this scenario, wireless systems have recently started to be carefully...
Massive MIMO is a promising next-generation wireless access technology. By flexibly assigning different numbers of antennas among connections, the transmission rate can be adjusted according to user requirement and channel conditions. However, providing layer-encoded SVC multimedia streams with such a technology is challenging because each user's transmitting antennas and provided layers have to be...
Massive MIMO technology can increase capacity, data rate, and link reliability significantly without additional bandwidth or transmission power. Most of the previous study on Massive MIMO systems are using low frequency (2.6 GHz). This frequency is not suitable for future broadband technology, because IoT devices will use high frequency and possible cell coverage would be smaller. This work proposes...
Consider a fading Gaussian MIMO channel with Nt transmit and Nr receive antennas. The transmitter selects Lt antennas corresponding to the strongest channels. For this setup, we study the distribution of the input-output mutual information when Nt grows large. We show that, for any Nr and Lt, the distribution of the input-output mutual information is accurately approximated by a Gaussian distribution...
Massive Multiple-Input Multiple-Output (MIMO) is an emerging technology for the future 5G wireless communication systems and has been expected to dramatically improve the performance over the years. The main aim of this paper is to investigate the ergodic capacity of the downlink massive Multi-User (MU-MIMO) system under spatially correlated Rayleigh fading channels using two correlative models, namely...
A multiple input multiple output communication system with transmit antenna selection and maximal ratio combining is combined with signal space diversity and its performance is investigated by means of statistical methods. To this end, signal constellation rotation angles minimizing error probability are obtained for phase shift keying modulation under Rayleigh fading channel when the modulation level...
In this paper, a new multiple-input multiple-output (MIMO) transmission system, which is called space-time quadrature spatial modulation (ST-QSM), and combines quadrature spatial modulation (QSM) with space time block codes (STBCs) in order to achieve second order transmit diversity gain, is proposed. In the proposed ST-QSM scheme, the number of transmit antennas is subdivided into two groups and...
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