Resource Optimization in Full Duplex Non-Orthogonal Multiple Access Systems

Singh, Keshav; Wang, Kaidi; Biswas, Sudip; Ding, Zhiguo; Khan, Faheem A.; Ratnarajah, Tharmalingam

doi:10.1109/twc.2019.2923172

Cited by 50 publications

(32 citation statements)

References 46 publications

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“…An important process towards improving the performance of NOMA networks is to form user clusters, in order to exploit channel asymmetries and different rate requirements. So, the integration of efficient clustering algorithms [40], improving the chances for SIC and user fairness, is of high importance. Moreover, in this work, we focused on a two-user topology and leveraged efficient power allocation for improved NOMA performance.…”

Section: Discussionmentioning

confidence: 99%

Full-Duplex NOMA Transmission with Single-Antenna Buffer-Aided Relays

et al. 2019

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The efficient deployment of fifth generation and beyond networks relies upon the seamless combination of recently introduced transmission techniques. Furthermore, as multiple network nodes exist in dense wireless topologies, low-complexity implementation should be promoted. In this work, several wireless communication techniques are considered for improving the sum-rate performance of cooperative relaying non-orthogonal multiple access (NOMA) networks. For this purpose, an opportunistic relay selection algorithm is developed, employing single-antenna relays to achieve full-duplex operation by adopting the successive relaying technique. In addition, as relays are equipped with buffers, flexible half-duplex transmission can be performed when packets reside in the buffers. The proposed buffer-aided and successive single-antenna (BASSA-NOMA) algorithm is presented in detail and its operation and practical implementation aspects are thoroughly analyzed. Comparisons with other relevant algorithms illustrate significant performance gains when BASSA-NOMA is employed without incurring high implementation complexity.

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Section: Discussionmentioning

confidence: 99%

Full-Duplex NOMA Transmission with Single-Antenna Buffer-Aided Relays

et al. 2019

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“…Our proposed work overcomes the aforementioned limitations by jointly investigating the EE-SE trade-off optimization and interference management problems for a multi-level EC enabled F-RAN system. We also emphasize that the EE-SE tradeoff optimization and interference management for various wireless networks were studied in a disjoint manner in [18]- [21]. Accordingly, our work is also different from [18]- [21].…”

Section: A Related Workmentioning

confidence: 99%

“…be the given power allocations in the k-th iteration. A converged power allocation is obtained by updating the power levels at the (k + 1)-th iteration, ∀k, according to (18)- (21) given at the top of the next page. Here, the values of γ C,j l,n , γ C,j n , γ p,j l,e,n , and γ p,j t,n are obtained by plugging P C,j l,n , P p,j l,e,n , Q C,j n , Q p,j t,n…”

Section: A F-ap and F-ue Power Allocationmentioning

confidence: 99%

Energy-Spectrum Efficient Content Distribution in Fog-RAN Using Rate-Splitting, Common Message Decoding, and 3D-Resource Matching

Hassan

Hossain

Cheng

et al. 2021

IEEE Trans. Wireless Commun.

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Multi-objective resource allocations are studied for a multi-level edge-caching enabled fog-radio access network. Notably, joint maximization of the energy-efficiency (EE) and spectrum-efficiency (EE) and interference management for the content distribution phase are investigated. In the envisioned system, the popular contents are cached at both the fog access point (F-AP) and fog user equipments (F-UEs), and the content-requesting devices are grouped into multiple device-clusters based on their locations. Using a rate-splitting with common message decoding based transmission strategy, each device-cluster is simultaneously served by a suitably selected F-UE and the F-AP over the same radio resource blocks. To maximize system EE and SE of the content distribution phase jointly, a multi-objective optimization problem (MOOP) is formulated. By using the-constraint method, the proposed MOOP is converted to an EE-SE trade-off optimization problem. Leveraging iterative function evaluation based power control and generalized 3D-resource matching, a novel algorithm is devised to obtain near-optimal Pareto front for the proposed MOOP. By inspecting solutions over the Pareto optimal front, a suitable operating EE-SE pair and the corresponding resource allocation variables are obtained. A low-complexity algorithm to obtain a suitable EE-SE trade-off is also devised. The conducted simulations confirm that the proposed algorithms achieve substantial improvement of system EE and SE over the baseline schemes.

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“…It allows allocating one frequency channel to multiple users at the same time within the same cell either in the power domain or the code domain. Moreover, NOMA offers a number of advantages, including improved spectral efficiency, enhanced resource allocation, higher cell-edge throughput, and lower latency (no scheduling request from users to base station is required) [9][10][11].…”

Section: Our Contributionsmentioning

confidence: 99%

D2D Mobile Relaying Meets NOMA—Part I: A Biform Game Analysis

Driouech

Sabir

Ghogho

et al. 2021

Sensors

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Structureless communications such as Device-to-Device (D2D) relaying are undeniably of paramount importance to improving the performance of today’s mobile networks. Such a communication paradigm requires implementing a certain level of intelligence at device level, allowing to interact with the environment and select proper decisions. However, decentralizing decision making sometimes may induce some paradoxical outcomes resulting, therefore, in a performance drop, which sustains the design of self-organizing, yet efficient systems. Here, each device decides either to directly connect to the eNodeB or get access via another device through a D2D link. Given the set of active devices and the channel model, we derive the outage probability for both cellular link and D2D link, and compute the system throughput. We capture the device behavior using a biform game perspective. In the first part of this article, we analyze the pure and mixed Nash equilibria of the induced game where each device seeks to maximize its own throughput. Our framework allows us to analyse and predict the system’s performance. The second part of this article is devoted to implement two Reinforcement Learning (RL) algorithms enabling devices to self-organize themselves and learn their equilibrium pure/mixed strategies, in a fully distributed fashion. Simulation results show that offloading the network by means of D2D-relaying improves per device throughput. Moreover, detailed analysis on how the network parameters affect the global performance is provided.

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Resource Optimization in Full Duplex Non-Orthogonal Multiple Access Systems

Cited by 50 publications

References 46 publications

Full-Duplex NOMA Transmission with Single-Antenna Buffer-Aided Relays

Full-Duplex NOMA Transmission with Single-Antenna Buffer-Aided Relays

Energy-Spectrum Efficient Content Distribution in Fog-RAN Using Rate-Splitting, Common Message Decoding, and 3D-Resource Matching

D2D Mobile Relaying Meets NOMA—Part I: A Biform Game Analysis

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