Shared Hybrid ARQ with Incremental Redundancy (SHARQ-IR) in Overloaded MIMO Systems to support Energy-Efficient Transmissions
Journal article
Kashif, M, Iqbal, M, Ullah, Z, Dagiuklas, A, Sarwar, S, Ul Qayyum, Z and Safyan, M (2020). Shared Hybrid ARQ with Incremental Redundancy (SHARQ-IR) in Overloaded MIMO Systems to support Energy-Efficient Transmissions. IEEE Access. https://doi.org/10.1109/ACCESS.2020.3001146
Authors | Kashif, M, Iqbal, M, Ullah, Z, Dagiuklas, A, Sarwar, S, Ul Qayyum, Z and Safyan, M |
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Abstract | © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Multiple Input and Multiple Output (MIMO) is a technology through which data is transmitted over the channel through multiple antennas. However, during its deployment and implementation, some pragmatic issues arise such as interference, multipath fading and noise leading to potential packet losses and consume substantial energy. In order address such issues, Hybrid ARQ transmissions provide effective means for error correction, especially in a noisy wireless channel. More often few bits in packets are found to be in error and it is unnecessary to use the entire MIMO channel for retransmission to correct the remaining errors. So a novel approach has been proposed in this paper i.e. Shared Hybrid ARQ (SHARQ - IR) using piggyback technique in overloaded MIMO systems where the transmitting antennas (Nt) are more than the receiving antennas (Nr) and used the concept of simple retransmission method to transform an overloaded MIMO into the critically loaded system (Nt=Nr) or under loaded MIMO systems (Nt<Nr). Simulation results outperform the contemporary approaches through reduced BER and a 20% throughput gain is observed during the simulation analyses which will ultimately support energy-efficient transmissions to encourage for Green IoT Applications. |
Year | 2020 |
Journal | IEEE Access |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
ISSN | 2169-3536 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/ACCESS.2020.3001146 |
Publication dates | |
09 Jun 2020 | |
Publication process dates | |
Accepted | 22 May 2020 |
Deposited | 29 May 2020 |
Publisher's version | License File Access Level Open |
Accepted author manuscript | License File Access Level Controlled |
https://openresearch.lsbu.ac.uk/item/89x22
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