Load Coupling and Energy Optimization in Multi-Cell and Multi-Carrier NOMA Networks

Lei, Lei; You, Lei; Yang, Yang; Yuan, Di; Chatzinotas, Symeon; Ottersten, Björn

doi:10.1109/tvt.2019.2943701

Cited by 18 publications

(13 citation statements)

References 37 publications

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“…In the system model, we adopt a descending order of g bkc as the decoding order in SIC, which is a proper decoding order and widely used in the literature for NOMA, e.g., [6], [16], [17], [21], [28]. By the definition, g bkc > g blc means that terminal k decodes the signal of l before decoding its own signal.…”

Section: B Precoding and Nomamentioning

confidence: 99%

“…Previous works, e.g., [20], [45], focus on reducing the sum of the gap between offered capacity and requested traffic demand, i.e., "min b,k |R bk − D bk | 2 ". The approach proposed in [28] is adopted to solve the problem with the objective of "min b,k |R bk − D bk | 2 ". We can observe that the max-min operator compromises the performance of high-capacity terminals, e.g., terminals 9 to 12, to compensate terminals with low OCTRs, e.g., terminals 2 and 6.…”

Section: ) Metrics Comparisonmentioning

confidence: 99%

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NOMA-Enabled Multi-Beam Satellite Systems: Joint Optimization to Overcome Offered-Requested Data Mismatches

Wang

Lei

Lagunas

et al. 2021

IEEE Trans. Veh. Technol.

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Non-orthogonal multiple access (NOMA) has potentials to improve the performance of multi-beam satellite systems. The performance optimization in satellite-NOMA systems could be different from that in terrestrial-NOMA systems, e.g., considering distinctive channel models, performance metrics, power constraints, and limited flexibility in resource management. In this paper, we adopt a metric, offered capacity to requested traffic ratio (OCTR), to measure the requested-offered data rate mismatch in multi-beam satellite systems. In the considered system, NOMA is applied to mitigate intra-beam interference while precoding is implemented to reduce inter-beam interference. We jointly optimize power, decoding orders, and terminal-timeslot assignment to improve the max-min fairness of OCTR. The problem is inherently difficult due to the presence of combinatorial and non-convex aspects. We first fix the terminal-timeslot assignment, and develop an optimal fast-convergence algorithmic framework based on Perron-Frobenius theory (PF) for the remaining joint power-allocation and decoding-order optimization problem. Under this framework, we propose a heuristic algorithm for the original problem, which iteratively updates the terminal-timeslot assignment and improves the overall OCTR performance. Numerical results show that the proposed algorithm improves the max-min OCTR by 40.2% over orthogonal multiple access (OMA) in average.Index Terms-Max-min fairness, multi-beam satellite systems, non -orthogonal multiple access (NOMA), offered capacity to requested traffic ratio (OCTR), resource optimization. I. INTRODUCTIONA MULTI-BEAM satellite system provides wireless services to wide-range areas. On the one hand, traffic distribution is typically asymmetric among beams [1]. On the other hand,

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Section: B Precoding and Nomamentioning

confidence: 99%

Section: ) Metrics Comparisonmentioning

confidence: 99%

NOMA-Enabled Multi-Beam Satellite Systems: Joint Optimization to Overcome Offered-Requested Data Mismatches

Wang

Lei

Lagunas

et al. 2021

IEEE Trans. Veh. Technol.

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“…Besides, non-orthogonal multiple access (NOMA) has recently emerged as a promising technology to improve the spectral efficiency and user fairness for wireless networks [10,11]. In contrast to the orthogonal multiple access (OMA) which utilizes orthogonal resources (e.g., time and frequency) to support multiple users, this technique can serve them at the same time/frequency/code by using the power domain and effective interference management methods, such as successive interference cancellation (SIC) [10].…”

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 practice, wireless communications systems are usually multi-cell systems. Resource management has been addressed from different perspectives for multi-cell NOMA [ 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 ]. Resource optimization was studied in [ 32 ] to achieve the optimal resource utilization by optimizing power allocation and the user pair.…”

Section: Introductionmentioning

confidence: 99%

“…Resource optimization was studied in [ 32 ] to achieve the optimal resource utilization by optimizing power allocation and the user pair. Since the intercell topology inherits intercell interference (ICI), the authors in [ 33 ] used the proportional relation between the load and the interference among cells to optimize power allocation and thus energy minimization. In order to maximize the minimum throughput, the authors in [ 34 ] addressed time and power allocation optimization for wireless powered networks.…”

Section: Introductionmentioning

confidence: 99%

Energy Efficiency Maximization for Multi-Cell Multi-Carrier NOMA Networks

Adam

Wang

2020

Sensors

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As energy efficiency (EE) is a key performance indicator for the future wireless network, it has become a significant research field in communication networks. In this paper, we consider multi-cell multi-carrier non-orthogonal multiple access (MCMC-NOMA) networks and investigate the EE maximization problem. As the EE maximization is a mixed-integer nonlinear programming NP-hard problem, it is difficult to solve directly by traditional optimization such as convex optimization. To handle the EE maximization problem, we decouple it into two subproblems. The first subproblem is user association, where we design a matching-based framework to perform the user association and the subcarriers’ assignment. The second subproblem is the power allocation problem for each user to maximize the EE of the systems. Since the EE maximization problem is still non-convex with respect to the power domain, we propose a two stage quadratic transform with both a single ratio quadratic and multidimensional quadratic transform to convert it into an equivalent convex optimization problem. The power allocation is obtained by iteratively solving the convex problem. Finally, the numerical results demonstrate that the proposed method could achieve better EE compared to existing approaches for non-orthogonal multiple access (NOMA) and considerably outperforms the fractional transmit power control (FTPC) scheme for orthogonal multiple access (OMA).

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Load Coupling and Energy Optimization in Multi-Cell and Multi-Carrier NOMA Networks

Cited by 18 publications

References 37 publications

NOMA-Enabled Multi-Beam Satellite Systems: Joint Optimization to Overcome Offered-Requested Data Mismatches

NOMA-Enabled Multi-Beam Satellite Systems: Joint Optimization to Overcome Offered-Requested Data Mismatches

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

Energy Efficiency Maximization for Multi-Cell Multi-Carrier NOMA Networks

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