تقرير
Block Orthogonal Sparse Superposition Codes for $ \sf{L}^3 $ Communications: Low Error Rate, Low Latency, and Low Power Consumption
| العنوان: | Block Orthogonal Sparse Superposition Codes for $ \sf{L}^3 $ Communications: Low Error Rate, Low Latency, and Low Power Consumption |
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| المؤلفون: | Han, Donghwa, Lee, Bowhyung, Jang, Min, Lee, Donghun, Myung, Seho, Lee, Namyoon |
| سنة النشر: | 2024 |
| المجموعة: | Computer Science Mathematics |
| مصطلحات موضوعية: | Computer Science - Information Theory, Electrical Engineering and Systems Science - Signal Processing |
| الوصف: | Block orthogonal sparse superposition (BOSS) code is a class of joint coded modulation methods, which can closely achieve the finite-blocklength capacity with a low-complexity decoder at a few coding rates under Gaussian channels. However, for fading channels, the code performance degrades considerably because coded symbols experience different channel fading effects. In this paper, we put forth novel joint demodulation and decoding methods for BOSS codes under fading channels. For a fast fading channel, we present a minimum mean square error approximate maximum a posteriori (MMSE-A-MAP) algorithm for the joint demodulation and decoding when channel state information is available at the receiver (CSIR). We also propose a joint demodulation and decoding method without using CSIR for a block fading channel scenario. We refer to this as the non-coherent sphere decoding (NSD) algorithm. Simulation results demonstrate that BOSS codes with MMSE-A-MAP decoding outperform CRC-aided polar codes, while NSD decoding achieves comparable performance to quasi-maximum likelihood decoding with significantly reduced complexity. Both decoding algorithms are suitable for parallelization, satisfying low-latency constraints. Additionally, real-time simulations on a software-defined radio testbed validate the feasibility of using BOSS codes for low-power transmission. |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2403.15692 |
| رقم الأكسشن: | edsarx.2403.15692 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |