scholarly journals Incentive and Penalty Mechanism for Power Allocation in Cooperative D2D-Cellular Transmissions

Electronics ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 408
Author(s):  
Shama Noreen ◽  
Navrati Saxena ◽  
Abhishek Roy
Keyword(s):  
Communication Systems ◽  
Stackelberg Game ◽  
Dead Zone ◽  
Interference Management ◽  
Base Station ◽  
D2d Communications ◽  
High Data ◽  
Reasonable Solution ◽  
Joint Pricing

In cellular communication systems, the introduction of device-to-device (D2D) communications provides a reasonable solution to facilitate high data rate services in short-range communication. However, it faces a challenging issue of interference management, where the cross-tier interference from D2D users to licensed cellular users (CUs) degrades their quality-of-service (QoS) requirements. D2D communications can also assist in offloading some nearby CUs to enhance the cellular operator’s benefit. To encourage the D2D transmitters (D2DT) to provide service to CUs in the dead zone, the cellular base station (CBS) needs to incentivize it with some monetary benefits. In this paper, a Stackelberg game-based joint pricing framework for interference management and data offloading is presented to illustrate the effects of cooperation between the D2D user and CBS. Specifically, a singular price is used to incentivize the D2DT to share its resources with the far-off CUs along with penalizing them for interference created at CBS. Simulation results illustrate the performance of the proposed technique in terms of the utilities of CUs and D2D users for varying distances of D2DT.

scholarly journals Coordinated Precoding for D2D Communications Underlay Uplink MIMO Cellular Networks

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Bing Fang ◽  
Zuping Qian ◽  
Wei Zhong ◽  
Wei Shao ◽  
Hong Xue
Keyword(s):  
Cellular Networks ◽  
Stackelberg Game ◽  
Multiple Input Multiple Output ◽  
Interference Management ◽  
Base Station ◽  
Stackelberg Equilibrium ◽  
D2d Communications ◽  
Proximal Point ◽  
Input Multiple Output ◽  
Radio Resources

We study the coordinated precoding problem for device-to-device (D2D) communications underlay multiple-input multiple-output (MIMO) cellular networks. The system model considered here constitutes multiple D2D user pairs attempting to share the uplink radio resources of a cellular network. We first formulate the coordinated precoding problem for the D2D user pairs as a sum-rate maximization (SRM) problem, which is subject to a total interference power constraint imposed to protect the base station (BS) and individual transmit power budgets available for each D2D user pair. Since the formulated SRM problem is nonconvex in general, we reformulate it as a difference convex- (DC-) type programming problem, which can be iteratively solved by employing the famous successive convex approximation (SCA) method. Moreover, a proximal-point-based regularization approach is also pursued here to ensure the convergence of the proposed algorithm. Interestingly, the centralized precoding algorithm can also lend itself to a distributed implementation. By introducing a price-based interference management mechanism, we reformulate the coordinated precoding problem as a Stackelberg game. Then, a distributed precoding algorithm is developed based on the concept of Stackelberg equilibrium (SE). Finally, numerical simulations are also provided to demonstrate the proposed algorithms. Results show that our algorithms can converge fast to a satisfactory solution with guaranteed convergence.

scholarly journals Resource Management for Device-to-Device Communications in Heterogeneous Networks Using Stackelberg Game

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Yinuo He ◽  
Feiran Wang ◽  
Jianjun Wu
Keyword(s):  
Resource Allocation ◽  
Heterogeneous Networks ◽  
Stackelberg Game ◽  
Interference Management ◽  
D2d Communication ◽  
Allocation Scheme ◽  
D2d Communications ◽  
Device To Device ◽  
Group A ◽  
Resource Allocation Scheme

Device-to-device (D2D) communications and femtocell systems can bring significant benefits to users’ throughput. However, the complicated three-tier interference among macrocell, femtocell, and D2D systems is a challenging issue in heterogeneous networks. As D2D user equipment (UE) can cause interference to cellular UE, scheduling and allocation of channel resources and power of D2D communication need elaborate coordination. In this paper, we propose a joint scheduling and resource allocation scheme to improve the performance of D2D communication. We take UE rate and UE fairness into account by performing interference management. First, we construct a Stackelberg game framework in which we group a macrocellular UE, a femtocellular UE, and a D2D UE to form a two-leader one-follower pair. The cellular UE are leaders, and D2D UE is the follower who buys channel resources from the leaders. We analyze the equilibrium of the game and obtain solutions to the equilibrium. Second, we propose an algorithm for joint scheduling of D2D pairs based on their utility. Finally, we perform computer simulations to study the performance of the proposed scheme.

Coexistence Studies between Mobile Communication Systems and Broadcasting Systems

2013 ◽  
Vol 303-306 ◽  
pp. 2022-2026
Author(s):  
Zheng Rong Xiao ◽  
Li Yun Zhang ◽  
Jun Liao ◽  
Bin Feng Yan
Keyword(s):  
Mobile Communication ◽  
Communication Systems ◽  
Rapid Development ◽  
Base Station ◽  
Mobile Internet ◽  
Mobile System ◽  
High Data ◽  
Mobile Base Station ◽  
Simulation Results ◽  
Mobile Base

With the rapid development of mobile internet, more and more frequency band will be needed to meet the requirement of high data speed. The system coexistence between mobile system and broadcast system is studied, including the scenarios, models, simulation results, related analysis, and finally the solution to resolve the coexistence is given. In urban, an additional 37dB isolation between broadcast system and mobile base station should been satisfied. And an additional 15.7dB is needed between mobile base station and broadcast receiver.

scholarly journals Interference Management, Backhaul Routing & Switching off in 5G Hetnets with Mmwave Backhaul Links: A Relative Perspective

2020 ◽  
Vol 9 (6) ◽  
pp. 421-426
Keyword(s):  
Heterogeneous Networks ◽  
Communication Systems ◽  
Interference Management ◽  
High Mobility ◽  
Research Problem ◽  
Base Station ◽  
Data Traffic ◽  
Millimetre Wave ◽  
Wireless Backhaul ◽  
Backhaul Links

Today most of the next generation wireless communication systems(5G) faces the challenge of supporting the demands for higher data rates growing exponentially and ensuring to provide a stable quality of service (QoS) throughout the network. Over the next 2 years meeting up these requirements need to maximize the capacity of the network by a factor which will multiply it by thousands. Moreover, the most important societal as well as economical concerns include the power usage of data and communication technology industry and pollution mostly energy-related. On 5G two contrary requirements of providing capacity to support higher cellular networks along with consuming less energy needs to be focused upon. Due to the scarcity of spectral sources, a wide consensus can only be achieved by increasing significantly the number of antennas operating per unit area. Here a heterogeneous network named HetNet is analysed, comprising a macro base station (BS) along with several antennas and an overlaid dense tier possessing SCAs(small cell access points)through a wireless backhaul to get data traffic. The SCAs mostly associate with static as well as low mobility user equipment whereas macro BS serve the medium-to-high mobility. This work analyses the methods of the ultra-dense wireless 5G heterogeneous networks considering the interference management along the mm-Wave backhaul links to utilize the spectrum and network densification to operate mm-Wave 5G HetNet. The study reviews several literature works, their drawbacks and developing a joint model by combining base station switch-off technique with interface mitigation. This study further throws light on the scope of managing the backhaul-aware interference which in turn enhances potential capacity of the system and depending on the suitable backhaul the capacity is improved. Millimetre wave(mm-Wave) has proved to be a remarkable candidate to overcome the issue of ensuring a broad bandwidth having secure link transmission. The ultra-dense heterogeneous networks are discussed along with discussing the role interference management algorithms to minimize energy consumption. The importance of interference management is discussed along with discussing issues related. The research problem is formulated following a comparative analysis.

scholarly journals GREEN ROUTINGSTRATEGY FOR DYNAMICALLY ARRANGED HOMOGENEOUS WSN- MSCT2

2014 ◽  
Vol 12 (7) ◽  
pp. 3712-3718
Author(s):  
Gulista Khan ◽  
Wajid Ali ◽  
Swati Arya ◽  
Vaibhav Sharma
Keyword(s):  
Wireless Networks ◽  
Sensor Network ◽  
Communication Systems ◽  
Fault Tolerant ◽  
Base Station ◽  
Ease Of Use ◽  
Sensor Nodes ◽  
Base Stations ◽  
General Terms

Wireless networks play a crucial role in the communication systems nowadays. Wireless networks are being increasingly used in the communication among devices of the most varied types and sizes. User mobility, affordability, flexibility and ease of use are few of many reasons for making them very appealing to new applications and more users everyday. A Wireless Sensor Network (WSN) is composed of sensor nodes spread over the field to sense the data. The sensed data must be gathered & transmitted to Base Station (BS) for end user queries. The used sensor nodes being in- expensive having low computation power & limited energy so are not as much reliable as their expensive macro sensor counter parts but their size and cost enable hundred to thousand of micro sensors to achieve high quality fault tolerant system. In an environment where in each round all sensor nodes have to send data to base station; it is required to effectively utilize energy of sensor nodes so as to increase the life- time of the system. The use of data aggregation & fusion as proposed in LEACH increases system lifetime by a factor of 8 as compared to conventional routing protocols. In this work, our main focus is the static sensors are randomly selected and the base stations have their information all a priori. Basically, the sensors are in direct communication range of each other and can transmit to and receive from the base station. The nodes periodically sense the environment and have always data to send in each round of communication. The nodes fuse/ aggregate the data they receive from the others with their own data, and produce only one packet regardless of how many packets they receive. The problem is to find a routing scheme or an efficient protocol to deliver data packets collected from sensor nodes to the base station. It maximizes the lifetime of the sensor network under the system model given above. However, the definition of quality of service of the sensor network provides is not specified. Secondly, where the nodes are densely deployed, the quality of the system is affected as soon as a significant amount of nodes die, since adjacent nodes record identical or related data. In this case, the lifetime of the network is the time elapsed until half of the nodes or some specified portion of the nodes die. In general terms, the time in rounds where the last node depletes all of its energy defines the lifetime of the overall sensor network. Taking these different possible requirements under consideration, our work provides a proper timing of all deaths for all algorithms in detail as well as chooses the shortest possible path for communication with better memory management scheme and leaves the decision which one to choose to system designers.

scholarly journals The Role of Correlation in the Performance of Massive MIMO Systems

2021 ◽  
Vol 4 (3) ◽  
pp. 54
Author(s):  
Marwah Abdulrazzaq Naser ◽  
Mustafa Ismael Salman ◽  
Muntadher Alsabah
Keyword(s):  
Channel Model ◽  
Mimo Systems ◽  
Multiple Input Multiple Output ◽  
Interference Management ◽  
Base Station ◽  
Rectangular Array ◽  
High Data ◽  
Correlated Channels ◽  
Physical Channel ◽  
Highly Correlated

Massive multiple-input multiple-output (m-MIMO) is considered as an essential technique to meet the high data rate requirements of future sixth generation (6G) wireless communications networks. The vast majority of m-MIMO research has assumed that the channels are uncorrelated. However, this assumption seems highly idealistic. Therefore, this study investigates the m-MIMO performance when the channels are correlated and the base station employs different antenna array topologies, namely the uniform linear array (ULA) and uniform rectangular array (URA). In addition, this study develops analyses of the mean square error (MSE) and the regularized zero-forcing (RZF) precoder under imperfect channel state information (CSI) and a realistic physical channel model. To this end, the MSE minimization and the spectral efficiency (SE) maximization are investigated. The results show that the SE is significantly degraded using the URA topology even when the RZF precoder is used. This is because the level of interference is significantly increased in the highly correlated channels even though the MSE is considerably minimized. This implies that using a URA topology with relatively high channel correlations would not be beneficial to the SE unless an interference management scheme is exploited.

scholarly journals Relay Positions Considering Interference from Other Sub-Channels in OFDMA-Based D2D Group-Casting Systems

Sensors ◽  
2019 ◽  
Vol 19 (6) ◽  
pp. 1374 ◽  
Author(s):  
Minjoong Rim ◽  
Eulhyeon Go
Keyword(s):  
Communication Technology ◽  
Communication Systems ◽  
Multiple Access ◽  
Base Station ◽  
Spectrum Efficiency ◽  
D2d Communication ◽  
D2d Communications ◽  
Ofdma System ◽  
Transmission Distance ◽  
Secure Transmission

Device-to-device (D2D) communication is a technique for direct communication between devices without going through a base station or other infrastructure. D2D communication technology has the advantages of improving spectrum efficiency and reducing transmission delay and transmission power. In D2D communication systems, orthogonal frequency-division multiple access (OFDMA) is widely used to maintain similarities with cellular communication systems and to secure transmission distance. OFDMA allows flexible and efficient use of frequency resources by allocating sub-channels independent to each user. In this paper, we consider a D2D overlay system that uses different sub-channels for cellular and D2D communications. In theory, the signals on different sub-channels of an OFDMA system are orthogonal and not interfered with each other. However, in a D2D communication system, which operates in a distributed manner, there is non-negligible interference from other sub-channels because of in-band emissions. In this paper, we address the performance degradation resulting from the interference from other sub-channels for OFDMA-based D2D group-casting systems. We consider three different scenarios of D2D relay, and we find the relay position that minimizes the outage probability. The simulation and analytical results show that the optimal location of a relay can be considerably different according to the source location and the target scenario.

scholarly journals Resource Allocation for Downlink Full-Duplex Cooperative NOMA-Based Cellular System with Imperfect SI Cancellation and Underlaying D2D Communications

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2768
Author(s):  
Asmaa Amer ◽  
Abdel-Mehsen Ahmad ◽  
Sahar Hoteit
Keyword(s):  
Resource Allocation ◽  
Channel Assignment ◽  
Interference Cancellation ◽  
Channel Allocation ◽  
Base Station ◽  
Cellular System ◽  
Full Duplex ◽  
D2d Communications ◽  
Power Budget

In this paper, the interplay between non-orthogonal multiple access (NOMA), device-to-device (D2D) communication, full-duplex (FD) technology, and cooperation networks is proposed, and a resource allocation problem is investigated. Specifically, a downlink FD cooperative NOMA-based cellular system with underlaying D2D communications is proposed, where, in each NOMA group, the strong user assists the weak user as an FD relay with imperfect self interference (SI) cancellation. In terms of reaping spectral efficiency benefits, the system sum rate is to be maximized by optimizing channel allocation. This optimization is based on quality of service (QoS) constraints of D2D pairs and cellular users (CUs), power budget of base station and strong user (cooperative phase), and successive interference cancellation (SIC) constraints. Since the maximization formulated problem is computationally challenging to be addressed, a two-sided stable many-to-one matching algorithm, based on Pareto improvement, performs sub-channel assignment. Extensive simulations are implemented to demonstrate the system performance indicated by different metrics.

scholarly journals Interference Management using Power Control for Device-to-Device Communication in Future Cellular Network

2018 ◽  
Vol 3 ◽  
pp. 31-36
Author(s):  
Toha Ardi Nugraha ◽  
Muhammad Putra Pamungkas ◽  
Anna Nur Nazilah Chamim
Keyword(s):  
Power Control ◽  
Cellular Network ◽  
Network Performance ◽  
Power Level ◽  
Interference Management ◽  
Base Station ◽  
Measured Signal ◽  
Control Methods ◽  
D2d Communications ◽  
Device To Device

There are many scenarios that have been proposed for fifth generation (5G) networks. Some of them, if implemented, will bring fundamental changes at the architectural and node level. One example of such proposed technologies is device-to-device (D2D) communications which will change the nature of conventional cellular network design. D2D permits direct communication between two or more user devices without intervention of the base station (i.e. eNB). D2D can ensure network performance improvement over the traditional cellular network, because it can offload the mobile data traffic from the other devices. However, applying D2D features in a cellular network will bring about more complex interference problems, since D2D communication uses the same band as its underlying cellular communication network. The aim of this research is to investigate interference-related problems caused by D2D communications, affecting the underlying cellular networks, during downlink and uplink transmissions. The paper examines the use of power control methods to mitigate interference. A comparison is offered between fixed power level (FC) with or without power control, and adaptive power controls using two methods (AC1 and AC2), on a base station or on each of the D2D devices, based on the measured signal to interference plus noise ratio (SINR). The simulation results show that both power control methods contribute to improvement of network performance. AC1 and AC2 can improve SINR by about 1 dB and 0.5 dB compared to FC in a downlink transmission, and by 0.5 dB in an uplink transmission.

Efficient Receiver Implementation for Mobile Applications

2009 ◽  
pp. 271-298
Author(s):  
Costas Chaikalis ◽  
Felip Riera-Palou
Keyword(s):  
Communication Systems ◽  
Low Complexity ◽  
Wireless Communication Systems ◽  
Channel Decoding ◽  
High Data ◽  
Data Rates ◽  
Channel Effects ◽  
Environment Simulation ◽  
Very High

Modern and future wireless communication systems such as UMTS and beyond 3G systems (B3G) are expected to support very high data rates to/from mobile users. This poses important challenges on the handset design as they should be able to attain an acceptable operating bit error rate (BER) while employing a limited set of resources (i.e. low complexity, low power) and often, with tight processing delay constraints. In this chapter we study how channel decoding and equalisation, two widely used mechanisms to combat the deleterious channel effects, can be made adaptable in accordance to the instantaneous operating environment. Simulation results are given demonstrating how receiver reconfigurability is a promising method to achieve complexity/delay efficient receivers while maintaining prescribed quality of service (QoS) constraints.

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