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Non-orthogonal multiple access-aided MIMO cognitive radio networks with selective reporting
Transactions on Emerging Telecommunications Technologies ( IF 3.6 ) Pub Date : 2022-07-17 , DOI: 10.1002/ett.4602
Tamanna Yasrab 1 , Rajalekshmi Kishore 2 , Sanjeev Gurugopinath 1, 3
Affiliation  

In this article, we investigate the performances of conventional cooperative sensing (CCS)- and superior selective reporting (SSR)-based cooperative sensing schemes in a multiple-input, multiple-output (MIMO)-aided non-orthogonal multiple access (NOMA)-driven cognitive radio (CR) networks. First, we derive expressions for the probabilities of false-alarm and signal detection for an optimal detector in the considered MIMO-NOMA CR setup. Next, we study a constrained optimization problem that maximizes the sum rates of CCS and SSR schemes, with a constraint on the power allocation at SUs. This problem is shown to be a constrained convex optimization problem. Later, we analytically characterize and compare the sum rate performances of CCS and SSR schemes in MIMO-NOMA CR and MIMO-based orthogonal multiple access (MIMO-OMA) CR networks. Extensive computer simulation results are presented which corroborate our analysis, which also quantifies the gain in performance of the proposed MIMO-NOMA CR network employing SSR scheme when compared to conventional MIMO-OMA CR systems. Furthermore, we present an experimental study based on RTL-SDR setup, which supports our theory and also paves way towards a practical implementation of the proposed framework.

中文翻译:

具有选择性报告的非正交多址辅助 MIMO 认知无线电网络

在本文中,我们研究了传统协作感知 (CCS) 和基于卓越选择性报告 (SSR) 的协作感知方案在多输入多输出 (MIMO) 辅助的非正交多址 (NOMA) 中的性能- 驱动的认知无线电(CR)网络。首先,我们为考虑的 MIMO-NOMA CR 设置中的最佳检测器推导出误报和信号检测概率的表达式。接下来,我们研究了一个约束优化问题,该问题使 CCS 和 SSR 方案的总和速率最大化,并限制了 SU 的功率分配。这个问题被证明是一个有约束的凸优化问题。随后,我们分析表征和比较了 MIMO-NOMA CR 和基于 MIMO 的正交多址 (MIMO-OMA) CR 网络中 CCS 和 SSR 方案的总速率性能。广泛的计算机仿真结果证实了我们的分析,与传统的 MIMO-OMA CR 系统相比,它还量化了所提出的采用 SSR 方案的 MIMO-NOMA CR 网络的性能增益。此外,我们提出了一项基于 RTL-SDR 设置的实验研究,它支持我们的理论,也为实际实施所提出的框架铺平了道路。
更新日期:2022-07-17
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