A Novel Codeword Selection Scheme for MIMO-MAC Lower-Bound Maximization

Shahjehan, Waleed; Shah, Syed Waqar; Lloret, Jaime; Bosch, Ignacio

doi:10.3390/e20080546

Cited by 4 publications

(1 citation statement)

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“…The ubiquitous deployment of interconnected devices is expected to grow in the next decade. This exponential growth is broadly supported by the increasing number of mobile devices (e.g., smartphones and tablets), smart sensors serving different markets (e.g., autonomous transportation, industrial controls and wearables), wireless sensors and actuators networks [2][3][4][5][6][7][8]. Reliable exchange of data by IoT sensors and actuators is one of the biggest challenges faced when deploying an IoT system.…”

Section: Introductionmentioning

confidence: 99%

Efficient Modulation Scheme for Intermediate Relay-Aided IoT Networks

et al. 2020

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With the surge of ubiquitous demand for high-complexity and quality mobile Internet-of-things (IoT) services, new cooperative relaying paradigms have emerged. Motivated by the long and unpredictable end-to-end communication in relay-aided IoT networks, there is a need to introduce novel modulation schemes for very low bit error rate (BER) communications. In this paper, a practical modulation mapping scheme has been proposed to reduce decoding errors. Specifically, a hybrid automatic repeat request (HARQ) system has been used with an intermediate relay to transfer a message from a source to a destination. The design of modulation mapping has been optimized by first formulating the objective as the quadratic assignment problem. Later, the solution to the mapping problem is provided using an iterative search method. To validate the proposed solution, extensive simulations have been performed in MATLAB. The results show that the proposed solution outperforms the conventional relay retransmission and the heuristic design approaches.

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Section: Introductionmentioning

confidence: 99%

Efficient Modulation Scheme for Intermediate Relay-Aided IoT Networks

et al. 2020

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Bat algorithm–based beamforming for mmWave massive MIMO systems

Shahjehan

Riaz

Khan

et al. 2019

Int J Communication

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In this paper, an optimized analog beamforming scheme for millimeter-wave (mmWave) massive MIMO system is presented. This scheme aims to achieve the near-optimal performance .by searching for the optimized combination of analog precoder and combiner. In order to compensate the occurrence of attenuation in the magnitude of mmWave signals, the codebook dependent analog beamforming in conjunction with precoding at transmitting end and combining signals at the receiving end is utilized. Nonetheless, the existing and traditional beamforming schemes involve more difficult and complicated search for the optimal combination of analog precoder/ combiner matrices from predefined codebooks. To solve this problem, we have referred to a modified Bat Algorithm to find the optimal combination value. This algorithm will explore the possible pairs of analog precoder/ combiner as a way to come up with the best match in order to attain near-optimal performance. The analysis shows that the optimized beamforming scheme presented in this paper can improve the performance that is very close to the beam steering benchmark that we have considered.

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