Wireless Communications II

B2L-A: Wireless Communications II

Session Type: Lecture
Session Code: B2L-A
Location: Room 1
Date & Time: Thursday March 23, 2023 (10:20-11:20)
Chair: Mojtaba Vaezi
Track: 1
Paper No. Paper NameAuthorsAbstract
3012Interference Mitigation in Blind Source Separation by Hidden State FilteringAnushreya Ghosh{2}, Alexander Haimovich{2}, Jason Dabin{1}Radio frequency (RF) sources are observed by a uniform linear array (ULA) in the presence of interference. The activity of the sources of interest is sparse, intermittent and assumed to follow a hidden Markov model (HMM). The interfering jammer is active during the entire period of observation. Blind Source Separation (BSS) is performed using direction of arrival (DOA) as criterion of separating the sources as well as the jammer. It is shown that an interfering jammer has a deleterious effect on the performance of the BSS. Leveraging the HMM activity model of the sources, a method is proposed to mitigate the effect of an interfering jammer. The proposed method is essentially a state filtering technique, and it is referred to as Hidden State Filtering (HSF). Two different HSF methods are introduced and compared. The HSF concept is extended to include estimating the HMM model parameters from the observed data. Numerical results demonstrate that the proposed approach is capable of mitigating the effects of interference and enhance source separation.
3127The ϵ-Effective Capacity for Statistical Delay and Error-Rate Bounded QoS Provisioning Over 6G CF M-MIMO Wireless Networks Using HARQ-IRXi Zhang{2}, Jingqing Wang{2}, H. Vincent Poor{1}Significant effort has been devoted to the problem of guaranteeing stringent ultra-reliable and low-latency communications (URLLC) while introducing new requirements for better quality-of-services (QoS) over next generation wireless networks. One of the major design issues raised by URLLC is how to support explosively growing demands for delay-sensitive multimedia applications while guaranteeing ultra-reliability. Towards this end, there have been a wide spectrum of promising techniques, including statistical delay and error rate-bounded QoS provisioning, cell-free (CF) massive multiple-input-multiple-output (m-MIMO), finite blocklength coding (FBC), hybrid automatic repeat request with incremental redundancy (HARQ-IR) protocol, etc. However, when being integrated with FBC, how to rigorously and efficiently characterize the dynamics of mobile wireless networks in terms of statistical delay and error-rate bounded QoS provisioning for CF m-MIMO has imposed many new challenges not encountered before. To overcome these challenges, in this paper we develop statistical delay and error-rate bounded QoS analytical modeling schemes to characterize the FBC-based -effective capacity over 6G CF m-MIMO wireless networks using HARQ-IR. In particular, first we establish CF m-MIMO based system architecture models. Second, we apply a HARQ-IR protocol for deriving the channel coding rate, outage probability, and FBC based \\epsilon-effective capacity function using the Mellin transform. Finally, we conduct a set of simulations to validate and evaluate our proposed schemes.