In a cellular network it＇s very difficult to make spectrum resource more efficiently. Device-to-Device （D2D） technology enables new service opportunities, and provides high throughput and reliable communication whi...In a cellular network it＇s very difficult to make spectrum resource more efficiently. Device-to-Device （D2D） technology enables new service opportunities, and provides high throughput and reliable communication while reducing the base station load. For better total performance, short-range D2D links and cellular links share the same radio resource and the management of interference becomes a crucial task. Here we argue that single-hop D2D technology can be used to further improve cellular networks performance if the key D2D radio resource management algorithms are suitably extended to support multi-hop D2D communications. Aiming to establish a new paradigm for the analysis and design of multi-hop D2D communications, We propose a radio resource allocation for multi-hop D2D routes based on interference avoidance approach in LTE-A networks. On top of that, we investigate the outage probability of D2D communication. We first introduce a new definition of outage probability by considering the maximum distance to be allowable for single-hop transmission. Then we study and analyze the outage performance of a multi-hop D2D route. We derive the general dosed form expression of outage probability of the multi-hop D2D routes. The results demonstrate that the D2D radio, sharing the same resources as the cellular network, provide higher capacity compared to pure cellular communication where all the data is transmitted through the base station. They also demonstrate that the new method of calculation of D2D multi hop outage probability has better performance than classical method defined in the literature.展开更多
Conventional approach of dealing with more users per coverage area in cellular networks implies densifying the amount of(Access Point)AP which will eventually result in a larger carbon footprint.In this paper,we propo...Conventional approach of dealing with more users per coverage area in cellular networks implies densifying the amount of(Access Point)AP which will eventually result in a larger carbon footprint.In this paper,we propose a base station off-loading and cell range extension(CRE)scheme based on multi-hop device-to-device(MHD2D)path selection between transmitter and receiver node.The paper also provides derivations of upper and lower bounds for energy efficiency,capacity,and transmit power.The proposed path selection scheme is inspired by the foraging behavior of honey bees.We present the algorithm as a modified variant of the artificial bee colony algorithm(MVABC).The proposed optimization problem is modeled as a minimization problem where we optimize the Energy Efficiency(EE).The proposed path selection MVABC is compared with the Genetic Algorithm(GA)and also with classical artificial bee colony(ABC)through simulations and statistical analysis.The student’s t-test,p-value,and standard error of means(SEM)clearly show that MVABC based path selection out-performs the GA and classical ABC schemes.MVABC based approach is 66%more efficient when compared with classic ABC and about 62%efficient when compared with GA based scheme.展开更多
文摘In a cellular network it＇s very difficult to make spectrum resource more efficiently. Device-to-Device （D2D） technology enables new service opportunities, and provides high throughput and reliable communication while reducing the base station load. For better total performance, short-range D2D links and cellular links share the same radio resource and the management of interference becomes a crucial task. Here we argue that single-hop D2D technology can be used to further improve cellular networks performance if the key D2D radio resource management algorithms are suitably extended to support multi-hop D2D communications. Aiming to establish a new paradigm for the analysis and design of multi-hop D2D communications, We propose a radio resource allocation for multi-hop D2D routes based on interference avoidance approach in LTE-A networks. On top of that, we investigate the outage probability of D2D communication. We first introduce a new definition of outage probability by considering the maximum distance to be allowable for single-hop transmission. Then we study and analyze the outage performance of a multi-hop D2D route. We derive the general dosed form expression of outage probability of the multi-hop D2D routes. The results demonstrate that the D2D radio, sharing the same resources as the cellular network, provide higher capacity compared to pure cellular communication where all the data is transmitted through the base station. They also demonstrate that the new method of calculation of D2D multi hop outage probability has better performance than classical method defined in the literature.
文摘Conventional approach of dealing with more users per coverage area in cellular networks implies densifying the amount of(Access Point)AP which will eventually result in a larger carbon footprint.In this paper,we propose a base station off-loading and cell range extension(CRE)scheme based on multi-hop device-to-device(MHD2D)path selection between transmitter and receiver node.The paper also provides derivations of upper and lower bounds for energy efficiency,capacity,and transmit power.The proposed path selection scheme is inspired by the foraging behavior of honey bees.We present the algorithm as a modified variant of the artificial bee colony algorithm(MVABC).The proposed optimization problem is modeled as a minimization problem where we optimize the Energy Efficiency(EE).The proposed path selection MVABC is compared with the Genetic Algorithm(GA)and also with classical artificial bee colony(ABC)through simulations and statistical analysis.The student’s t-test,p-value,and standard error of means(SEM)clearly show that MVABC based path selection out-performs the GA and classical ABC schemes.MVABC based approach is 66%more efficient when compared with classic ABC and about 62%efficient when compared with GA based scheme.
