scholarly journals Contract Theory-Based Incentive Mechanism for Full Duplex Cooperative NOMA with SWIPT Communication Networks

Entropy ◽  
2021 ◽  
Vol 23 (9) ◽  
pp. 1161
Author(s):  
Zhenwei Zhang ◽  
Hua Qu ◽  
Jihong Zhao ◽  
Wei Wang
Keyword(s):  
Communication Networks ◽  
Private Information ◽  
Network Performance ◽  
Contract Theory ◽  
Incentive Mechanism ◽  
Base Station ◽  
Matching Theory ◽  
Spectrum Efficiency ◽  
Full Duplex ◽  
User Pairing

Cooperative Non-Orthogonal Multiple Access (NOMA) with Simultaneous Wireless Information and Power Transfer (SWIPT) communication can not only effectively improve the spectrum efficiency and energy efficiency of wireless networks but also extend their coverage. An important design issue is to incentivize a full duplex (FD) relaying center user to participate in the cooperative process and achieve a win–win situation for both the base station (BS) and the center user. Some private information of the center users are hidden from the BS in the network. A contract theory-based incentive mechanism under this asymmetric information scenario is applied to incentivize the center user to join the cooperative communication to maximize the BS’s benefit utility and to guarantee the center user’s expected payoff. In this work, we propose a matching theory-based Gale–Shapley algorithm to obtain the optimal strategy with low computation complexity in the multi-user pairing scenario. Simulation results indicate that the network performance of the proposed FD cooperative NOMA and SWIPT communication is much better than the conventional NOMA communication, and the benefit utility of the BS with the stable match strategy is nearly close to the multi-user pairing scenario with complete channel state information (CSI), while the center users get the satisfied expected payoffs.

scholarly journals Contract Theory-Based Incentive Mechanism for Full Duplex Cooperative NOMA with SWIPT Communication Networks

2021 ◽  
Author(s):  
Zhenwei Zhang ◽  
Hua Qu ◽  
Jihong Zhao ◽  
Wei Wang
Keyword(s):  
Communication Networks ◽  
Private Information ◽  
Network Performance ◽  
Contract Theory ◽  
Incentive Mechanism ◽  
Cooperative Transmission ◽  
Spectrum Efficiency ◽  
Full Duplex ◽  
Cooperative Process ◽  
Match Theory

Cooperative Non-Orthogonal Multiple Access (NOMA) with Simultaneous Wireless Information and Power Transfer (SWIPT) communication can effectively improve the spectrum efficiency and energy efficiency of the wireless networks with extend coverage. An important design issue is to incentivize a relaying center user to participate in the cooperative process and achieve a win-win situation to both the BS and the center user. Some private information of the center users are hidden from the BS in the networks. We apply a contract theory-based incentive mechanism under such asymmetric information scenario to incentives center user to join the cooperative communication to maximize the BS profit utility and to guarantee the center user’s expect payoff. A match theory-based Gale-Shapley algorithm is proposed to obtain the optimal strategy with low computation complexity. Simulation results indicated the network performance of our proposed cooperative transmission is much better than the conventional NOMA transmission and the benefit utility of the BS with the stable match strategy is nearly close to the complete channel state information multi-users scenario while the center users get the satisfied expect payoffs.

scholarly journals Self-Interference Cancellation: A Comprehensive Review from Circuits and Fields Perspectives

Electronics ◽  
2022 ◽  
Vol 11 (2) ◽  
pp. 172
Author(s):  
Jiahao Zhang ◽  
Fangmin He ◽  
Wei Li ◽  
Yi Li ◽  
Qing Wang ◽  
...  
Keyword(s):  
Interference Cancellation ◽  
Communication Systems ◽  
Base Station ◽  
The Self ◽  
Spectrum Efficiency ◽  
Full Duplex ◽  
Interference Signal ◽  
Comprehensive Review ◽  
To Come ◽  
Transmitting Antenna

Increased demand for higher spectrum efficiency, especially in the space-limited chip, base station, and vehicle environments, has spawned the development of full-duplex communications, which enable the transmitting and receiving to occur simultaneously at the same frequency. The key challenge in this full-duplex communication paradigm is to reduce the self-interference as much as possible, ideally, down to the noise floor. This paper provides a comprehensive review of the self-interference cancellation (SIC) techniques for co-located communication systems from a circuits and fields perspective. The self-interference occurs when the transmitting antenna and the receiving antenna are co-located, which significantly degrade the system performance of the receiver, in terms of the receiver desensitization, signal masking, or even damage of hardwares. By introducing the SIC techniques, the self-interference can be suppressed and the weak desired signal from the remote transmitter can be recovered. This, therefore, enables the full-duplex communications to come into the picture. The SIC techniques are classified into two main categories: the traditional circuit-domain SICs and the novel field-domain SICs, according to the method of how to rebuild and subtract the self-interference signal. In this review paper, the field-domain SIC method is systematically summarized for the first time, including the theoretical analysis and the application remarks. Some typical SIC approaches are presented and the future works are outlooked.

scholarly journals Multiple Unmanned Aerial Vehicles Deployment and User Pairing for Non-Orthogonal Multiple Access Schemes

2020 ◽  
Author(s):  
Jie Wang ◽  
Miao Liu ◽  
Jinlong Sun ◽  
Guan Gui ◽  
Haris Gacanin ◽  
...  
Keyword(s):  
Wireless Communications ◽  
Unmanned Aerial Vehicles ◽  
Message Passing ◽  
Multiple Access ◽  
Base Station ◽  
Spectrum Efficiency ◽  
User Pairing ◽  
Aerial Vehicles ◽  
Multiple Uavs ◽  
Multiple Unmanned Aerial Vehicles

Non-orthogonal multiple access (NOMA) significantly improves the connectivity opportunities and enhances the spectrum efficiency (SE) in the fifth generation and beyond (B5G) wireless communications. Meanwhile, emerging B5G services demand of higher SE in the NOMA based wireless communications. However, traditional ground-to-ground (G2G) communications are hard to satisfy these demands, especially for the cellular uplinks. To solve these challenges, this paper proposes a multiple unmanned aerial vehicles (UAVs) aided uplink NOMA method. In detail, multiple hovering UAVs relay data for a part of ground users (GUs) and share the sub-channels with the left GUs that communicate with the base station (BS) directly. Furthermore, this paper proposes a K-means clustering based UAV deployment and location based user pairing scheme to optimize the transceiver association for the multiple UAVs aided NOMA uplinks. Finally, a sum power minimization based resource allocation problem is formulated with the lowest quality of service (QoS) constraints. We solve it with the message-passing algorithm and evaluate the superior performances of the proposed scheduling and paring schemes on SE and energy efficiency (EE). Extensive experiments are conducted to compare the performances of the proposed schemes with those of the single UAV aided NOMA uplinks, G2G based NOMA uplinks, and the proposed multiple UAVs aided uplinks with a random UAV deployment. Simulation results demonstrate that the proposed multiple UAVs deployment and user pairing based NOMA scheme significantly improves the EE and the SE of the cellular uplinks at the cost of only a little relaying power consumption of the UAVs.

scholarly journals A Distributed Testbed for 5G Scenarios: An Experimental Study

Sensors ◽  
2019 ◽  
Vol 20 (1) ◽  
pp. 18 ◽  
Author(s):  
Mohammad Kazem Chamran ◽  
Kok-Lim Alvin Yau ◽  
Rafidah M. D. Noor ◽  
Richard Wong
Keyword(s):  
Decision Making ◽  
Network Performance ◽  
Software Radio ◽  
Base Station ◽  
Spectrum Efficiency ◽  
Small Cells ◽  
Delivery Ratio ◽  
Processing Unit ◽  
Wireless Medium ◽  
Control Message

This paper demonstrates the use of Universal Software Radio Peripheral (USRP), together with Raspberry Pi3 B+ (RP3) as the brain (or the decision making engine), to develop a distributed wireless network in which nodes can communicate with other nodes independently and make decision autonomously. In other words, each USRP node (i.e., sensor) is embedded with separate processing units (i.e., RP3), which has not been investigated in the literature, so that each node can make independent decisions in a distributed manner. The proposed testbed in this paper is compared with the traditional distributed testbed, which has been widely used in the literature. In the traditional distributed testbed, there is a single processing unit (i.e., a personal computer) that makes decisions in a centralized manner, and each node (i.e., USRP) is connected to the processing unit via a switch. The single processing unit exchanges control messages with nodes via the switch, while the nodes exchange data packets among themselves using a wireless medium in a distributed manner. The main disadvantage of the traditional testbed is that, despite the network being distributed in nature, decisions are made in a centralized manner. Hence, the response delay of the control message exchange is always neglected. The use of such testbed is mainly due to the limited hardware and monetary cost to acquire a separate processing unit for each node. The experiment in our testbed has shown the increase of end-to-end delay and decrease of packet delivery ratio due to software and hardware delays. The observed multihop transmission is performed using device-to-device (D2D) communication, which has been enabled in 5G. Therefore, nodes can either communicate with other nodes via: (a) a direct communication with the base station at the macrocell, which helps to improve network performance; or (b) D2D that improve spectrum efficiency, whereby traffic is offloaded from macrocell to small cells. Our testbed is the first of its kind in this scale, and it uses RP3 as the distributed decision-making engine incorporated into the USRP/GNU radio platform. This work provides an insight to the development of a 5G network.

scholarly journals Outage Analysis of User Pairing Algorithm for Full-Duplex Cellular Networks

2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Hyun-Ho Choi ◽  
Wonjong Noh
Keyword(s):  
Outage Probability ◽  
Cellular Network ◽  
Low Complexity ◽  
Base Station ◽  
Throughput Maximization ◽  
Full Duplex ◽  
Radio Resource ◽  
User Pairing ◽  
Random Pairing ◽  
Outage Analysis

In a full-duplex (FD) cellular network, a base station transmits data to the downlink (DL) user and receives data from uplink (UL) users at the same time; thereby the interference from UL users to DL users occurs. One of the possible solutions to reduce this interuser interference in the FD cellular network is user pairing, which pairs a DL user with a UL user so that they use the same radio resource at the same time. In this paper, we consider a user pairing problem to minimize outage probability and formulate it as a nonconvex optimization problem. As a solution, we design a low-complexity user pairing algorithm, which first controls the UL transmit power to minimize the interuser interference and then allows the DL user having a worse signal quality to choose first its UL user giving less interference to minimize the outage probability. Then, we perform theoretical outage analysis of the FD cellular network on the basis of stochastic geometry and analyze the performance of the user pairing algorithm. Results show that the proposed user pairing significantly decreases the interuser interference and thus improves the DL outage performance while satisfying the requirement of UL signal-to-interference-plus-noise ratio, compared to the conventional HD mode and a random pairing. We also reveal that there is a fundamental tradeoff between the DL outage and UL outage according to the user pairing strategy (e.g., throughput maximization or outage minimization) in the FD cellular network.

scholarly journals A Reciprocal-Selection-Based ‘Win–Win’ Overlay Spectrum-Sharing Scheme for Device-to-Device-Enabled Cellular Network

Algorithms ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 179
Author(s):  
Peng Li ◽  
Chenchen Shu ◽  
Jiao Feng
Keyword(s):  
Resource Sharing ◽  
Spectrum Sharing ◽  
Stackelberg Game ◽  
Base Station ◽  
Cooperative Transmission ◽  
Matching Theory ◽  
Spectrum Efficiency ◽  
Cell Edge ◽  
Sharing Scheme ◽  
Device To Device

This paper proposes a reciprocal-selection-based ‘Win–Win’ overlay spectrum-sharing scheme for device-to-Device-enabled cellular networks to address the resource sharing between Device-to-Device devices and the cellular users by using an overlay approach. Based on the proposed scheme, the cell edge users intend to lease part of its spectrum resource to Device-to-Device transmission pairs. However, the Device-to-Device users have to provide the cooperative transmission assistance for the cell edge users in order to improve the Quality of Service of the uplink transmission from the cell edge users to the base station. Compared to the underlay spectrum-sharing scheme, overlay spectrum-sharing scheme may reduce spectrum efficiency. Hence, Non-Orthogonal Multiple Access technology is invoked at the Device-to-Device transmitter in order to improve the spectrum efficiency. The Stackelberg game is exploited to model the behaviours of the cell edge users and Device-to-Device devices. Moreover, based on matching theory, the cell edge users and Device-to-Device pairs form one-to-one matching and the stability of matching is analysed. The simulation results show that the proposed reciprocal-selection-based ‘Win–Win’ overlay spectrum-sharing scheme is capable of providing considerable rate improvements for both EUs and D2D pairs and reducing transmit power dissipated by the D2D transmitter to forward data for the EU compared with the existing methods.

scholarly journals IBP Based Caching Strategy in D2D

2019 ◽  
Vol 9 (12) ◽  
pp. 2416 ◽  
Author(s):  
Chun Shan ◽  
Xiao-ping Wu ◽  
Yan Liu ◽  
Jun Cai ◽  
Jian-zhen Luo
Keyword(s):  
Communication Networks ◽  
Network Performance ◽  
Wireless Systems ◽  
Base Station ◽  
D2d Communication ◽  
Social Communities ◽  
Caching Strategy ◽  
Node Importance ◽  
Communication Capacity ◽  
Communication Links

Device to Device (D2D) communication is a key technology in 5th generation wireless systems to increase communication capacity and spectral efficiency. Applying caching into D2D communication networks, the device can retrieve content from other devices by establishing D2D communication links. In this way, the backhaul traffic can be significantly reduced. However, most of the existing caching schemes in D2D are proactive caching, which cannot satisfy the requirement of real-time updating. In this paper, we propose an Indian Buffet Process based D2D caching strategy (IBPSC). Firstly, we construct a geographical D2D communication network to provide high quality D2D communications according to physical closeness between devices. Then devices are divided into several social communities. Devices are ranked by their node importance to community in each community. The base station makes caching decisions for devices according to contrition degree. Experimental results show that IBPSC achieves best network performance.

Full duplex dispersion compensating system based on chromatic dispersion in analog RoF links

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Deyitha Dileep ◽  
Supriya S. Sindhu ◽  
Joseph Zacharias
Keyword(s):  
Communication Networks ◽  
Signal Transmission ◽  
Chromatic Dispersion ◽  
Base Station ◽  
Radio Over Fiber ◽  
Full Duplex ◽  
Downlink Transmission ◽  
Distortion Compensation ◽  
Fiber Technology ◽  
Signal Distortions

AbstractRadio over Fiber technology is a promising solution for next-generation wireless communication networks. In radio over fiber systems, signal distortions caused by modulator nonlinearity is a major concern. In this paper, a full duplex dispersion compensating system using chromatic dispersion is proposed. A system using 16 QAM OFDM signal transmission is presented. Distortion compensation is observed when a required amount of dispersion is added. Bit Error Rate (BER) and constellation diagrams for different amount of dispersion are analyzed and its comparison is presented. Since the framework utilizes just a single persistent wave laser for upstream and downstream transmission the base station is additionally disentangled and it diminishes the general framework cost. Signal distortions are reduced when the dispersion is adjusted to 640 ps/nm for uplink transmission and 760 ps/nm for downlink transmission.

scholarly journals Hybrid NOMA/OMA-Based Dynamic Power Allocation Scheme Using Deep Reinforcement Learning in 5G Networks

2020 ◽  
Vol 10 (12) ◽  
pp. 4236 ◽  
Author(s):  
Hoang Thi Huong Giang ◽  
Tran Nhut Khai Hoan ◽  
Pham Duy Thanh ◽  
Insoo Koo
Keyword(s):  
Reinforcement Learning ◽  
Interference Cancellation ◽  
Bandwidth Allocation ◽  
Base Station ◽  
Spectrum Efficiency ◽  
Superior Performance ◽  
Joint Power ◽  
User Pairing ◽  
Fifth Generation

Non-orthogonal multiple access (NOMA) is considered a potential technique in fifth-generation (5G). Nevertheless, it is relatively complex when applying NOMA to a massive access scenario. Thus, in this paper, a hybrid NOMA/OMA scheme is considered for uplink wireless transmission systems where multiple cognitive users (CUs) can simultaneously transmit their data to a cognitive base station (CBS). We adopt a user-pairing algorithm in which the CUs are grouped into multiple pairs, and each group is assigned to an orthogonal sub-channel such that each user in a pair applies NOMA to transmit data to the CBS without causing interference with other groups. Subsequently, the signal transmitted by the CUs of each NOMA group can be independently retrieved by using successive interference cancellation (SIC). The CUs are assumed to harvest solar energy to maintain operations. Moreover, joint power and bandwidth allocation is taken into account at the CBS to optimize energy and spectrum efficiency in order to obtain the maximum long-term data rate for the system. To this end, we propose a deep actor-critic reinforcement learning (DACRL) algorithm to respectively model the policy function and value function for the actor and critic of the agent (i.e., the CBS), in which the actor can learn about system dynamics by interacting with the environment. Meanwhile, the critic can evaluate the action taken such that the CBS can optimally assign power and bandwidth to the CUs when the training phase finishes. Numerical results validate the superior performance of the proposed scheme, compared with other conventional schemes.

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