Iterative signal detection for large scale GSM-MIMO systems

Generalized spatial modulations (GSM) represent a novel multiple input multiple output (MIMO) scheme which can be regarded as a compromise between spatial multiplexing MIMO and conventional spatial modulations (SM), achieving both spectral efficiency (SE) and energy efficiency (EE). Due to the high computational complexity of the maximum likelihood detector (MLD) in large antenna settings and symbol constellations, in this paper we propose a lower complexity iterative suboptimal detector. The derived algorithm comprises a sequence of simple processing steps, namely an unconstrained Euclidean distance minimization problem, an element wise projection over the signal constellation and a projection over the set of valid active antenna combinations. To deal with scenarios where the number of possible active antenna combinations is large, an alternative version of the algorithm which adopts a simpler cardinality projection is also presented. Simulation results show that, compared with other existing approaches, both versions of the proposed algorithm are effective in challenging underdetermined scenarios where the number of receiver antennas is lower than the number of transmitter antennas.info:eu-repo/semantics/acceptedVersio

Frequency domain equalization for single and multiuser generalized spatial modulation systems in time dispersive channels

In this letter, a low-complexity iterative detector with frequency domain equalization is proposed for generalized spatial modulation (GSM) aided single carrier (SC) transmissions operating in frequency selective channels. The detector comprises three main separate tasks namely, multiple-input multiple-output (MIMO) equalization, active antenna detection per user and symbol wise demodulation. This approach makes the detector suitable for a broad range of MIMO configurations, which includes single-user and multiuser scenarios, as well as arbitrary signal constellations. Simulation results show that the receiver can cope with the intersymbol interference induced by severe time dispersive channels and operate in difficult underdetermined scenarios.info:eu-repo/semantics/acceptedVersio

Precoder and combiner design for generalized spatial modulation based multiuser MIMO systems

Multiple input multiple output (MIMO) schemes based on generalized spatial modulations (GSM) have been widely considered as potential candidate techniques for next-generation wireless networks, as they can improve both spectral and energy efficiency. In this paper we propose a multi-user MIMO system, where a base station transmits precoded GSM symbols to several receivers. In the adopted GSM approach, multiple antennas transmit different high-level QAM symbols simultaneously. The precoder is designed in order to remove interference between users while an iterative algorithm is applied at the receiver to accomplish single-user GSM detection. Simulation results show that the presented GSM MU-MIMO approach is capable to effectively exploit a large number of transmit antennas deployed at the transmitter and also provide performance gains over conventional MU-MIMO schemes with identical spectral efficiencies.info:eu-repo/semantics/acceptedVersio

Virtual spatial modulation for MIMO systems

Compared with the conventional amplitude phase modulation (APM), spatial modulation (SM) is a low-complexity, yet energy-efficient transmission technique, whereby transmit antenna (TA) indices are utilized to convey the information. However, the number of the required TAs grows exponentially with the number of transmitted bits, which leads to unacceptable pilot overhead for channel estimation in practical systems. To reduce the number of TAs whereas keep the data rate unchanged, virtual spatial modulation (VSM) is proposed in the first time. Specifically, by activating multiple TAs with their corresponding analog phase shifters (APSs), massive equivalent channel vectors could be constructed based on the combinations of original channel vectors from different TAs and their phase rotations. By way of mapping each equivalent channel vector to a virtual transmit antenna (VTA) index which might convey the information, the number of the required TAs could grow linearly with the number of transmitted bits. Furthermore, the selection of a VTA subset from all available VTAs is formulated as a combinatorial optimization problem to maximize the minimal Euclidean distance (ED) among the equivalent channel vectors. A spatial constellation optimizing (SCO) algorithm is proposed to obtain a near-optimal solution to this problem with low complexity. Simulation results demonstrate that the proposed VSM is able to achieve lower bit error rate (BER) under the same transmit rate compared with the conventional SM and APM schemes

A precoding aided space domain index modulation scheme for downlink multiuser MIMO systems

In this correspondence, we propose a space domain index modulation (IM) scheme for the downlink of multiuser multiple-input multiple-output (MU-MIMO) systems. Instead of the most common approach where spatial bits select active receiver antennas, in the presented scheme the spatial information is mapped onto the transmitter side. This allows IM to better exploit large dimensional antenna settings which are typically easier to deploy at the base station. In order to mitigate inter-user interference and allow single user detection, a precoder is adopted at the BS. Furthermore, two alternative enhanced signal construction methods are proposed for minimizing the transmitted power or enable an implementation with a reduced number of RF chains. Simulation results for different scenarios show that the proposed approach can be an attractive alternative to conventional precoded MU-MIMO.info:eu-repo/semantics/acceptedVersio

A Precoding Aided Space Domain Index Modulation Scheme for Downlink Multiuser MIMO Systems

In this correspondence, we propose a space domain index modulation (IM) scheme for the downlink of multiuser multiple-input multiple-output (MU-MIMO) systems. Instead of the most common approach where spatial bits select active receiver antennas, in the presented scheme the spatial information is mapped onto the transmitter side. This allows IM to better exploit large dimensional antenna settings which are typically easier to deploy at the base station. In order to mitigate inter-user interference and allow single user detection, a precoder is adopted at the BS. Furthermore two alternative enhanced signal construction methods are proposed for minimizing the transmitted power or enable an implementation with a reduced number of RF chains. Simulation results for different scenarios show that the proposed approach can be an attractive alternative to conventional precoded MU-MIMO.Comment: submitted to IEEE Transactions on Vehicular Technolog

Enhanced performance and efficiency schemes for generalised spatial modulation.

Doctor of Philosophy in Electronic Engineering. University of KwaZulu-Natal, Durban 2017.Abstract available in PDF file

Thirty Years of Machine Learning: The Road to Pareto-Optimal Wireless Networks

Future wireless networks have a substantial potential in terms of supporting a broad range of complex compelling applications both in military and civilian fields, where the users are able to enjoy high-rate, low-latency, low-cost and reliable information services. Achieving this ambitious goal requires new radio techniques for adaptive learning and intelligent decision making because of the complex heterogeneous nature of the network structures and wireless services. Machine learning (ML) algorithms have great success in supporting big data analytics, efficient parameter estimation and interactive decision making. Hence, in this article, we review the thirty-year history of ML by elaborating on supervised learning, unsupervised learning, reinforcement learning and deep learning. Furthermore, we investigate their employment in the compelling applications of wireless networks, including heterogeneous networks (HetNets), cognitive radios (CR), Internet of things (IoT), machine to machine networks (M2M), and so on. This article aims for assisting the readers in clarifying the motivation and methodology of the various ML algorithms, so as to invoke them for hitherto unexplored services as well as scenarios of future wireless networks.Comment: 46 pages, 22 fig

Dual-Function Radar Communications via Frequency-Hopping Code Selection

Dual-function radar communications (DFRC) systems serve an indispensable role within emerging paradigm shifts combining sensing modalities with information exchange. Utilising an integrated waveform, the spectral and spatial degrees of freedom (DoF) of the host radar platform are exploited to embed information symbols into the radar waveform. Furthermore, DFRC systems are beginning to embed the information in the fast-time, i.e. within the radar pulse. One method involves the use of orthogonal frequency-hopping (FH) waveforms in conjunction with multiple-input multiple-output (MIMO) radar arrays. While the secondary communications function is achieved, modulating the radar fast-time comes at the expense of the primary sensing operation. In this dissertation, we study the implementation of a novel information embedding scheme for frequency-hopped MIMO (FH-MIMO) DFRC applications. We first develop a generalised framework which unifies existing FH-MIMO DFRC schemes. We then expose new methods of fast-time information embedding, such as the frequency-hopping code selection (FHCS) scheme. We also design hybrid information embedding strategies which enable significantly higher bit rates at no further expense of the radar. Then, we characterise the communications performance of the FHCS scheme exposed by this generalised framework. We identify significant aspects of FHCS signalling which relate to index modulation schemes as a whole, such as the truncation of the symbol dictionary. We formulate an optimisation relating the maximum transform-limit with the achievable communications symbol rate and bit rate. Following this, we address the issue of symbol detection as it pertains to index modulation schemes utilising truncated codebooks. We design a low-complexity communications receiver for the FHCS scheme which ensures valid membership of the estimated symbol to the allowed communications constellation. Furthermore, we derive expressions which show that the probability of symbol error reduces in those cases where truncated dictionaries are employed. Finally, we analyse the performance of the integrated FHCS waveform from the perspective of the primary radar operation. We establish a measure which enables the analysis of the average ambiguity function across all realisations of the permuted symbol dictionary. We also derive the performance of the radar receiver operating characteristics (ROC), including the false-alarm and detection probabilities