Slotted ALOHA with Code Combining for IoT Networks

Tyrovolas, Dimitrios; Chrysologou, Athanasios; Chondrogiannis, Georgios; Tegos, Sotiris; Mekikis, Prodromos-Vasileios; Diamantoulakis, Panagiotis; Ioannidis, Sotiris; Liaskos, Christos; Chatzidiamantis, Nestor; Karagiannidis, George

doi:10.1109/meditcom58224.2023.10266655

Cited by 4 publications

(4 citation statements)

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“…Configuring a grant to a group of UEs instead of a single UE, has emerged as promising building block for URLLC solutions. The works [12]- [21] propose different GCG schemes. Some rely only on shared resources [12]- [15] while others consider both shared and dedicated resources [16]- [21].…”

Section: A Related Workmentioning

confidence: 99%

“…The works [12]- [21] propose different GCG schemes. Some rely only on shared resources [12]- [15] while others consider both shared and dedicated resources [16]- [21]. Approaches relying only on shared resources enable random access of sporadic traffic, leading to faster access times, but result in collisions which degrades the scheme latency/reliability performance.…”

Section: A Related Workmentioning

confidence: 99%

“…Approaches relying only on shared resources enable random access of sporadic traffic, leading to faster access times, but result in collisions which degrades the scheme latency/reliability performance. In [12] a slotted Aloha scheme paired with retransmissions is employed to enable random access to the pool of shared resources. The work studies the impact of the group size, the number of maximum retransmissions and the variance in physical location of the group members.…”

Section: A Related Workmentioning

confidence: 99%

“…Several group CG (GCG) schemes can be found in the literature [12]- [21]. These GCG schemes have been opti-mized to achieve various benefits, including increased average throughput [12], improved resource efficiency [17] and enhanced latency performance [21]. All these works rely in some kind of retransmission scheme.…”

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confidence: 99%

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Pipelined Multi-User IR-HARQ Scheme for Improved Latency Performance in URLLC

Santos,

Castanheira,

Silva

et al. 2024

IEEE Access

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The demand for ultra-reliable low-latency communications (URLLC) has led to the adoption of grant-free (GF) access techniques by the 5G NR, with the goal of reducing uplink access time. When GF access is employed, the base station (BS) preallocates multiple transmission opportunities (TOs) that can be utilized by the user equipment (UE) as needed. However, this approach results in inefficient resource utilization as unused TOs are wasted. To overcome this inefficiency, the 5G NR allows the assignment of configured grants (CG) to a group of UEs instead of a single one. This development has led research into group-based CG (GCG) schemes, whose reliance on shared resources can result in collisions. The collisions can be prevented by the use of stop-and-wait IR-HARQ schemes. Nevertheless, the delay caused by feedback latency is also undesirable as it severely affects latency performance. This work proposes two new IR-HARQ GCG schemes to efficiently handle feedback latency. The first one is able to eliminate the feedback latency overhead and is proven to simultaneously achieve the latency of a one-shot transmission and the energy efficiency of IR-HARQ, even in the presence of non-instantaneous feedback signaling. The second one features both a feedback latency protection mechanism, similar to the first scheme, and a mechanism specifically designed to further reduce latency. The performance of the proposed schemes is compared with scenarios where each UE uses either an individual one-shot or an IR-HARQ scheme. These comparisons encompass scenarios with either power or energy constraints. The results have shown that the second scheme always outperforms the IR-HARQ scheme and that it is able to outperform the one-shot scheme on a wide interval of feedback latency values, achieving a lower latency both for power and energy constrained cases.

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