Applications of Information Theory I

B1LA: Wireless Communications I

Session Type: Lecture
Session Code: B1L-A
Location: Room 1
Date & Time: Thursday March 23, 2023 (09:00 - 10:00)
Chair: Mojtaba Vaezi
Track: 1

	Paper Name	Authors	Abstract
3121	Massive-MIMO Based RSMA Under Nakagami-m Channel Over 6G mURLLC Wireless Networks	Xi Zhang{2}, Qixuan Zhu{2}, H. Vincent Poor{1}	The sixth generation (6G) mobile wireless networks are expected to provide massive ultra-reliable and low-latency communications (mURLLC) for data services, which require extremely stringent quality-of-services (QoS) with massive connectivity. Rate splitting (RS) multiple access schemes have been proposed recently for tackling the difficulty of the massive access yielded by a large number of mobile users (MUs) requesting to connect to a single base station. To serve massive MUs, massive multiple-input and multiple-output (massive-MIMO) communication has been proposed as a promising technique to support 6G wireless networks. However, how to apply the RS scheme into massive-MIMO techniques to support the massive access has not been sufficiently studied. In this paper, we propose to integrate the RS scheme with massive-MIMO techniques to achieve mURLLC transmissions under the Nakagami-m fading wireless channel. First, we establish the system model for the integrated RS and massive-MIMO schemes. Then, we derive a closed-form expression for the signal-to-interference-plus-noise ratios (SINRs) under a Nakagami-m fading channel and obtain the channel capacity. Finally, we use numerical analyses to validate and evaluate our proposed RS and massive-MIMO integrated schemes.
3173	Performance Analysis of Los THz Systems Under Misalignment and Deterministic Fading	Rayyan Abdalla{1}, A. Brinton Cooper III{2}	Line-of-sight (LOS) wireless communication at terahertz (THz) frequency bands is envisioned to play a major role in defining next-generation wireless technologies. This work analyzes the performance of a potential LOS THz system experiencing propagation loss and misaligned antenna beams. The THz channel particularities are discussed in terms of deterministic path loss, molecular absorption effect and stochastic fading due to antenna pointing errors. Assuming phase shift keying (PSK) modulation schemes, simplified analytical expressions are approximated for computing symbol error rate (SER) of the proposed THz system. Monte Carlo simulations are applied to verify theoretical model accuracy over various transmission distances and misalignment scenarios. The derived SER formulas match simulation results for Signal-to-noise ratio (SNR) above 35 dB at transmission distance up to 100 m and antenna displacement jitter variance of 0.05 m2. In general, the theoretical model mismatch does not exceed 2 dB for lower SNR levels.
3154	Stopping Criteria for Compressive Sensing OFDM Channel Estimation Using OMP	John Franklin, A. Brinton Cooper III	Compressive sensing channel estimation techniques can be used to exploit the sparse nature of the virtual channel when the dimensions of the virtual channel are larger than then number of physical paths in the multipath channel. Through use of compressive sensing and sparse recovery techniques we can achieve better channel estimates with fewer number of pilot resources than used in traditional techniques. We present an analysis of stopping criteria when using the Orthogonal Matching Pursuit (OMP) sparse recovery method to estimate a single input single output Orthogonal Frequency Division Multiplexed channel. We show that under ideal conditions, the lower bound of performance can be reached in few pilot subcarriers and demonstrate that additional subcarriers provide no further benefit under simplified conditions. We also demonstrate the impacts of imperfect stopping criteria and basis mismatch.