Full-duplex(FD)has been recognized as a promising technology for future 5G networks to improve the spectrum efficiency.However,the biggest practical impediments of realizing full-duplex communications are the presence...Full-duplex(FD)has been recognized as a promising technology for future 5G networks to improve the spectrum efficiency.However,the biggest practical impediments of realizing full-duplex communications are the presence of self-interference,especially in complex cellular networks.With the current development of self-interference cancellation techniques,full-duplex has been considered to be more suitable for device-to-device(D2D)and small cell communications which have small transmission range and low transmit power.In this paper,we consider the full-duplex D2D communications in multi-tier wireless networks and present an analytical model which jointly considers mode selection,resource allocation,and power control.Specifically,we consider a distance based mode selection scheme.The performance analysis of different D2D communications modes are performed based on stochastic geometry,and tractable analytical solutions are obtained.Then we investigate the optimal resource partitions between dedicated D2D mode and cellular mode.Numerical results validate the theoretical anlaysis and indicate that with appropriate proportions of users operated in different transmission modes and optimal partitioning of spectrum,the performance gain of FD-D2D communication can be achieved.展开更多
With the emergence of ambient sensing technologies which combine mobile crowdsensing and Internet of Things,large amount of people-centric data can be obtained and utilized to build people-centric services.Note that t...With the emergence of ambient sensing technologies which combine mobile crowdsensing and Internet of Things,large amount of people-centric data can be obtained and utilized to build people-centric services.Note that the service quality is highly related to the privacy level of the data.In this paper,we investigate the problem of privacy-aware service subscription in people-centric sensing.An efficient resource allocation framework using a combinatorial auction(CA)model is provided.Specifically,the resource allocation problem that maximizes the social welfare in view of varying requirements of multiple users is formulated,and it is solved by a proposed computationally tractable solution algorithm.Furthermore,the prices of allocated resources that winners need to pay are figured out by a designed scheme.Numerical results demonstrate the effectiveness of the proposed scheme.展开更多
基金This work was supported by National Natural Science Foundation of China.The grant number is 61672283.
文摘Full-duplex(FD)has been recognized as a promising technology for future 5G networks to improve the spectrum efficiency.However,the biggest practical impediments of realizing full-duplex communications are the presence of self-interference,especially in complex cellular networks.With the current development of self-interference cancellation techniques,full-duplex has been considered to be more suitable for device-to-device(D2D)and small cell communications which have small transmission range and low transmit power.In this paper,we consider the full-duplex D2D communications in multi-tier wireless networks and present an analytical model which jointly considers mode selection,resource allocation,and power control.Specifically,we consider a distance based mode selection scheme.The performance analysis of different D2D communications modes are performed based on stochastic geometry,and tractable analytical solutions are obtained.Then we investigate the optimal resource partitions between dedicated D2D mode and cellular mode.Numerical results validate the theoretical anlaysis and indicate that with appropriate proportions of users operated in different transmission modes and optimal partitioning of spectrum,the performance gain of FD-D2D communication can be achieved.
基金This work was partially supported by National Natural Science Foundation of China under Grant No.61801167Natural Science Foundation of Jiangsu Province of China under Grant No.BK20160874.
文摘With the emergence of ambient sensing technologies which combine mobile crowdsensing and Internet of Things,large amount of people-centric data can be obtained and utilized to build people-centric services.Note that the service quality is highly related to the privacy level of the data.In this paper,we investigate the problem of privacy-aware service subscription in people-centric sensing.An efficient resource allocation framework using a combinatorial auction(CA)model is provided.Specifically,the resource allocation problem that maximizes the social welfare in view of varying requirements of multiple users is formulated,and it is solved by a proposed computationally tractable solution algorithm.Furthermore,the prices of allocated resources that winners need to pay are figured out by a designed scheme.Numerical results demonstrate the effectiveness of the proposed scheme.