Performance analysis of short-packet communications with incremental relaying

Fang, Manlin; Liu, Dong; Zhang, Han; Fan, Lisheng; Trigui, Imène

doi:10.1016/j.comcom.2021.06.007

Cited by 6 publications

(6 citation statements)

References 18 publications

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“…, ΩIR = ( dIR ) −θ in which dIR is the average distance between the interferers and R. Proposition 1: The CDF expression of γ T AS D given in (6), is obtained as…”

Section: ) Tas Schemementioning

confidence: 99%

“…Recently, short packet communication (SPC) has been considered as an important technique for achieving low latency in wireless communication systems, and it has been widely studied in literature. Several scenarios such as cognitive radio networks [1], device-to-device (D2D) networks [2], unmanned-aerial-vehicle (UAV) networks [3,4], relaying systems [5,6,7] have been investigated in SPC systems.…”

Section: Introductionmentioning

confidence: 99%

“…INTRODUCTIONRecently, short packet communication (SPC) has been considered as an important technique for achieving low latency in wireless communication systems, and it has been widely studied in literature. Several scenarios such as cognitive radio networks [1], device-to-device (D2D) networks [2], unmanned-aerial-vehicle (UAV) networks [3,4], relaying systems [5,6,7] have been investigated in SPC systems.Furthermore, many applications where the transmitter and destination nodes cannot communicate directly with each other. Relaying communication is a technique in wireless communication where an intermediate device is used to forward data packets between the transmitter and the receiver [8,9].…”

mentioning

confidence: 99%

“…Considering goodput, and energy efficiency of a full-duplex system, the authors evaluated the system based on calculating the BLER and outage probability [5]. In [6], via BLER, the authors compared the performance of two schemes, i.e., direct transmission and incremental relaying schemes. Considering successive interference cancellation imperfection, the average BLERs were derived in a system where one unmanned aerial vehicle acts as a relay [7].…”

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confidence: 99%

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Short Packet Communications for Relay Systems With Co-Channel Interference at Relay: Performance Analysis and Power Control

Nguyen,

Le Anh,

Nguyen

et al. 2024

IEEE Access

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In this paper, we evaluate short packet communication (SPC) for a cooperative system where one relay assists data transmission between one multi-antenna source and one single antenna destination with the presence of co-channel interference at the relay. Two transmission schemes, i.e., transmit antenna selection (TAS) scheme and beamforming scheme (BS), are considered. Based on metric of SPC, we derive the average block error rate (BLER) for the system in asymptotic and closed-form expressions for both schemes. In addition, a solution of optimal power allocation (OPA) to maximize end-to-end effective system throughput is proposed. Effects of parameters such as total transmit power, number of the source's antennas, number of co-channel interference, and packet length on the performance of the system are evaluated. Finally, the results reveal that the performance of the OPA scheme outperforms that of the benchmark scheme, i.e., equal power allocation solution, in terms of BLER and the effective throughput for both the TAS and BS schemes. Moreover, the performance of the system reaches to saturation value with more antennas at the source. The findings indicate that the TAS and BS schemes have the same performance in terms of both the BLER and the effective throughput.INDEX TERMS block error rate, cooperative system, co-channel interference, short packet communications. I. INTRODUCTIONRecently, short packet communication (SPC) has been considered as an important technique for achieving low latency in wireless communication systems, and it has been widely studied in literature. Several scenarios such as cognitive radio networks [1], device-to-device (D2D) networks [2], unmanned-aerial-vehicle (UAV) networks [3,4], relaying systems [5,6,7] have been investigated in SPC systems.Furthermore, many applications where the transmitter and destination nodes cannot communicate directly with each other. Relaying communication is a technique in wireless communication where an intermediate device is used to forward data packets between the transmitter and the receiver [8,9]. The relaying device, also known as a relay node or relay station, receives the information from the transmitter and re-transmits it to the receiver. Two well-known protocols such as decode-and-forward (DF), and amplify-and-forward (AF) [10,11] have been used in cooperative networks. An evaluation of the AF relay system performance with taking into account interference at the relay was discussed in [12]. Inspired by [12], outage performance of an AF system under

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“…, ΩIR = ( dIR ) −θ in which dIR is the average distance between the interferers and R. Proposition 1: The CDF expression of γ T AS D given in (6), is obtained as…”

Section: ) Tas Schemementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Short Packet Communications for Relay Systems With Co-Channel Interference at Relay: Performance Analysis and Power Control

Nguyen,

Le Anh,

Nguyen

et al. 2024

IEEE Access

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“…In URLLC systems, the strict latency requirements impose limitations on the data size, resulting in the unavailability of accurate encoding rates based on Shannon's channel capacity. Therefore, in URLLC communication networks, the achievable rate R k j ,m,n between the m-th UAV and the k j -th user over the n-th subcarrier must be approximated for a given error probability and finite blocklength, as shown in [7,38]…”

Section: System Modelmentioning

confidence: 99%

Blocklength Allocation and Power Control in UAV-Assisted URLLC System via Multi-agent Deep Reinforcement Learning

Li,

Zhang,

et al. 2024

Int J Comput Intell Syst

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Integration of unmanned aerial vehicles (UAVs) with ultra-reliable and low-latency communication (URLLC) systems can improve the real-time communication performance for various industrial internet of things (IIoT) applications. Designing an intelligent resource allocation system is one of the challenges posed by an energy-constrained UAV communication system. Therefore, we formulate a sum rate maximization problem, subject to the UAVs’ energy by optimizing the blocklength allocation and the power control jointly in the uplink UAV-assisted URLLC systems, in which the probabilistic channel model between UAV and users is adopted. The problem is difficult to solve due to the non-convex objective function and the energy constraints, and also challenging to make fast decision in the complex communication environment. Thus, we propose a deep reinforcement learning (DRL)-based scheme to optimize the blocklength allocation and power control jointly. First, transform the original problem into the multi-agent reinforcement learning process, where each subcarrier is regarded as the agent that optimizes its individual blocklength allocation and power control. Then, each agent makes the intelligent decision to obtain the maximum reward value depending on the weighted segmented reward function, which is related to the UAV energy consumption and user rates to improve the rate performance. Finally, the simulation results show that the proposed scheme outperforms the benchmark schemes and has the stable convergence in different settings, such as the learning rate, the error probability, the subcarrier spacing, and the number of users.

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Joint offloading design and bandwidth allocation for RIS-aided multiuser MEC networks

Rao

Ou³

et al. 2022

Physical Communication

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Performance analysis of short-packet communications with incremental relaying

Cited by 6 publications

References 18 publications

Short Packet Communications for Relay Systems With Co-Channel Interference at Relay: Performance Analysis and Power Control

Short Packet Communications for Relay Systems With Co-Channel Interference at Relay: Performance Analysis and Power Control

Blocklength Allocation and Power Control in UAV-Assisted URLLC System via Multi-agent Deep Reinforcement Learning

Joint offloading design and bandwidth allocation for RIS-aided multiuser MEC networks

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