Multiuser Selection Criteria for MIMO-NOMA Systems With Different Detectors

Yu, Quan; Han, Chao; Bai, Lin; Wang, Jingchao; Choi, Jinho; Shen, Xuemin

doi:10.1109/tvt.2019.2960591

Cited by 7 publications

(10 citation statements)

References 35 publications

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“…NEW PRELIMINARIES Due to the use of hybrid detection, it is necessary to derive the properties of W a G and W a in (7) for analyzing R k . The main difficulty relies on the dependence of the phases of W a and G according to the design of W a in (5). The following theorem and two propositions are new essential results which facilitate our following analysis.…”

Section: System Modelmentioning

confidence: 95%

“…Multiuser multiple-input multiple-output (MU-MIMO) refers to a system in which a base station (BS) exploits multiple antennas to simultaneously serve many terminals [2]- [4]. Nonorthogonal multiple access (NOMA) holds great promise in carrying massive connectivity in MU-MIMO systems [5]. In [6], an artificial intelligence (AI) based cooperative spectrum sensing Part of this work was presented at the WCSP 2017 in Nanjing, China [1].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

On Uplink Performance of Multiuser Massive MIMO Relay Network With Limited RF Chains

Xu¹,

Wang²,

Xu³

et al. 2020

Preprint

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This paper considers a multiuser massive multiple-input multiple-output uplink with the help of an analog amplify-and-forward relay. The base station equips a large array of N d antennas but is supported by a far smaller number of radio-frequency chains. By first deriving new results for a cascaded phase-aligned two-hop channel, we obtain a tight bound for the ergodic rate in closed form for both perfect and quantized channel phase information. The rate is characterized as a function of a scaled equivalent signal-to-noise ratio of the two-hop channel. It implies that the source and relay powers can be respectively scaled down as 1/N a d and 1/N 1−a d (0 ≤ a ≤ 1) for an asymptotically unchanged sum rate. Then for the rate maximization, the problem of power allocation is optimized with closed-form solutions. Simulation results verified the observations of our derived results.

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Section: System Modelmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

On Uplink Performance of Multiuser Massive MIMO Relay Network With Limited RF Chains

Xu¹,

Wang²,

Xu³

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…In addition, the combination of NOMA and multiple-input multiple-output (MIMO) systems (so-called MIMO NOMA), which can significantly enhance the spectral efficiency and performance of NOMA systems, has also been investigated in recent years [20,21]. The ergodic capacity analysis of MIMO NOMA systems has been considered in [22], where the authors have proved the superiority of MIMO NOMA over MIMO OMA in terms of capacity.…”

Section: Introductionmentioning

confidence: 99%

Short-Packet Communications for MIMO NOMA Systems Over Nakagami-m Fading: BLER and Minimum Blocklength Analysis

Tran

Sharma

Chatzinotas

et al. 2021

IEEE Trans. Veh. Technol.

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Recently, ultra-reliable and low-latency communications (URLLC) using short-packets has been proposed to fulfill the stringent requirements regarding reliability and latency of emerging applications in 5G and beyond networks. In addition, multiple-input multiple-output non-orthogonal multiple access (MIMO NOMA) is a potential candidate to improve the spectral efficiency, reliability, latency, and connectivity of wireless systems. In this paper, we investigate short-packet communications (SPC) in a multiuser downlink MIMO NOMA system over Nakagamim fading, and propose two antenna-user selection methods considering two clusters of users having different priority levels. In contrast to the widely-used long data-packet assumption, the SPC analysis requires the redesign of the communication protocols and novel performance metrics. Given this context, we analyze the SPC performance of MIMO NOMA systems using the average block error rate (BLER) and minimum blocklength, instead of the conventional metrics such as ergodic capacity and outage capacity. More specifically, to characterize the system performance regarding SPC, asymptotic (in the high signal-tonoise ratio regime) and approximate closed-form expressions of the average BLER at the users are derived. Based on the asymptotic behavior of the average BLER, an analysis of the diversity order, minimum blocklength, and optimal power allocation is carried out. The achieved results show that MIMO NOMA can serve multiple users simultaneously using a smaller blocklength compared with MIMO OMA, thus demonstrating the benefits of MIMO NOMA for SPC in minimizing the transmission latency. Furthermore, our results indicate that the proposed methods not only improve the BLER performance, but also guarantee full diversity gains for the respective users.

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“…In UAV-assisted cellular networks, the data rate is limited by both the radio access links and the wireless backhaul links. For radio access links, multi-users can be served with the same time region and frequency band based on non-orthogonal multiple access (NOMA), which has received remarkable attention [12][13][14]. In [12], the performance of NOMA in large-scale networks has been investigated with stochastic geometry theory.…”

mentioning

confidence: 99%

“…The resource allocation of NOMA heterogeneous networks (HetNets) has been studied in [13]. In [14], the pair-wise error probability (PEP) performance of different detectors in multiple-inputmultiple-output (MIMO) NOMA system has been analyzed, which has also been minimized by the proposed two kinds of user selection methods. Recently, NOMA has been exploited as an effective method to enhance the access capability of UAV-assisted cellular networks [6][7][8][9][10].…”

mentioning

confidence: 99%

Caching Placement and Resource Allocation for Cache-Enabling UAV NOMA Networks

Zhang

Wang

Liu

et al. 2020

IEEE Trans. Veh. Technol.

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This article investigates the cache-enabling unmanned aerial vehicle (UAV) cellular networks with massive access capability supported by non-orthogonal multiple access (NOMA). The delivery of a large volume of multimedia contents for ground users is assisted by a mobile UAV base station, which caches some popular contents for wireless backhaul link traffic offloading. In cache-enabling UAV NOMA networks, the caching placement of content caching phase and radio resource allocation of content delivery phase are crucial for network performance. To cope with the dynamic UAV locations and content requests in practical scenarios, we formulate the longterm caching placement and resource allocation optimization problem for content delivery delay minimization as a Markov decision process (MDP). The UAV acts as an agent to take actions for caching placement and resource allocation, which includes the user scheduling of content requests and the power allocation of NOMA users. In order to tackle the MDP, we propose a Q-learning based caching placement and resource allocation algorithm, where the UAV learns and selects action with soft εgreedy strategy to search for the optimal match between actions and states. Since the action-state table size of Q-learning grows with the number of states in the dynamic networks, we propose a function approximation based algorithm with combination of stochastic gradient descent and deep neural networks, which is suitable for large-scale networks. Finally, the numerical results show that the proposed algorithms provide considerable performance compared to benchmark algorithms, and obtain a tradeoff between network performance and calculation complexity.Index termsdynamic resource allocation, non-orthogonal multiple access, reinforcement learning, unmanned aerial vehicle I. INTRODUCTIONWith the explosion of massive multimedia applications and the continuous growth of mobile data traffic, wireless communication faces the problem of limited resources. In order to effectively meet the increasing user demand for high data rate and low access delay, many works [1-5] have paid attention to wireless connectivity from the sky with unmanned aerial vehicles (UAVs). UAVs, also known as remotely piloted aircraft systems (RPAS) or drones, are small pilotless aircrafts

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Multiuser Selection Criteria for MIMO-NOMA Systems With Different Detectors

Cited by 7 publications

References 35 publications

On Uplink Performance of Multiuser Massive MIMO Relay Network With Limited RF Chains

On Uplink Performance of Multiuser Massive MIMO Relay Network With Limited RF Chains

Short-Packet Communications for MIMO NOMA Systems Over Nakagami-m Fading: BLER and Minimum Blocklength Analysis

Caching Placement and Resource Allocation for Cache-Enabling UAV NOMA Networks

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