This paper presents a link allocation and rate assignment algorithm for multi-channel wireless networks.The objective is to reduce network conflicts and guarantee the fairness among links.We first design a new network...This paper presents a link allocation and rate assignment algorithm for multi-channel wireless networks.The objective is to reduce network conflicts and guarantee the fairness among links.We first design a new network model.With this network model,the multi-channel wireless network is divided into several subnets according to the number of channels.Based on this,we present a link allocation algorithm with time complexity O(l2) to allocate all links to subnets.This link allocation algorithm adopts conflict matrix to minimize the network contention factor.After all links are allocated to subnets,the rate assignment algorithm to maximize a fairness utility in each subnet is presented.The rate assignment algorithm adopts a near-optimal algorithm based on dual decomposition and realizes in a distributed way.Simulation results demonstrate that,compared with IEEE 802.11b and slotted seeded channel hopping algorithm,our algorithm decreases network conflicts and improves the network throughput significantly.展开更多
With great increase of mobile service in recent years,high quality of experience(QoE) is becoming a comprehensive and major goal for service provider.To unify evaluations of different services,mean opinion score(MOS) ...With great increase of mobile service in recent years,high quality of experience(QoE) is becoming a comprehensive and major goal for service provider.To unify evaluations of different services,mean opinion score(MOS) as a subjective assessment is usually adopted for accurate and convincing reflection of user perceived quality.In this paper,we consider the effect of the burst transmission of best effort(BE) traffic on the uses with real time video traffic in the same cell.We extend the rate scaling process which was initially used to shape burstiness of BE users as interference to handle the scenario that BE users act as resource competitors with video users.A power reallocation strategy between the two types of users is presented and an algorithm further improving the fairness of BE users is proposed.The simulation results demonstrate that the proposed algorithm can not only promote the QoE of both types of users,but also guarantee the fairness among users.展开更多
The spectral efficiency(SE)and energy efficiency(EE)tradeoff while ensuring rate fairness among users in non-orthogonal multiple access(NOMA)systems is investigated.In order to characterize the SE-EE tradeoff with rat...The spectral efficiency(SE)and energy efficiency(EE)tradeoff while ensuring rate fairness among users in non-orthogonal multiple access(NOMA)systems is investigated.In order to characterize the SE-EE tradeoff with rate fairness,a multi-objective optimization(MOO)problem is first formulated,where the rate fairness is represented with theα-fair utility function.Then,the MOO problem is converted into a single-objective optimization(SOO)problem by the weighted sum method.To solve the converted non-convex SOO problem,we apply sequential convex programming,which helps to propose a general power allocation algorithm to realize the SE-EE tradeoff with rate fairness.We prove the convergence of the proposed algorithm and the convergent solution satisfies the KKT conditions.Simulation results demonstrate the proposed power allocation algorithm can achieve various levels of rate fairness,and higher fairness results in degraded performance of SE-EE tradeoff.A pivotal conclusion is reached that NOMA systems significantly outperform orthogonal multiple access systems in terms of SE-EE tradeoff with the same level of rate fairness.展开更多
针对毫微微蜂窝(femtocell)网络中多种业务(固定速率业务和可变速率业务)环境下如何公平分配毫微微蜂窝基站(femtocell base station,FBS)资源的问题,提出了一种基于比例公平算法的femto-macro异构网络资源分配算法。该算法以基于比例...针对毫微微蜂窝(femtocell)网络中多种业务(固定速率业务和可变速率业务)环境下如何公平分配毫微微蜂窝基站(femtocell base station,FBS)资源的问题,提出了一种基于比例公平算法的femto-macro异构网络资源分配算法。该算法以基于比例公平法则的可变速率用户的吞吐量为优化目标,并以每个用户的服务质量(quality of service,Qo S)、FBS的下行传输总功率和宏蜂窝(macrocell)用户的跨层同频干扰门限值为约束组成优化问题。在上述资源分配最优化问题为凸优化问题的基础上,采用对偶分解算法进行求解。仿真结果表明,提出的算法在保证不同用户Qo S的同时,不仅能够有效地公平分配资源给可变速率用户,而且降低了macrocell用户受到来自FBS的跨层同频干扰。展开更多
基金This work was supported by the National Natural Science Foundation of China under Cxant No. 60902010 the Research Fund of State Key Laboratory of Mobile Communications un-der Crant No. 2012A03.
文摘This paper presents a link allocation and rate assignment algorithm for multi-channel wireless networks.The objective is to reduce network conflicts and guarantee the fairness among links.We first design a new network model.With this network model,the multi-channel wireless network is divided into several subnets according to the number of channels.Based on this,we present a link allocation algorithm with time complexity O(l2) to allocate all links to subnets.This link allocation algorithm adopts conflict matrix to minimize the network contention factor.After all links are allocated to subnets,the rate assignment algorithm to maximize a fairness utility in each subnet is presented.The rate assignment algorithm adopts a near-optimal algorithm based on dual decomposition and realizes in a distributed way.Simulation results demonstrate that,compared with IEEE 802.11b and slotted seeded channel hopping algorithm,our algorithm decreases network conflicts and improves the network throughput significantly.
基金supported by China National S&T Major Project 2013ZX03003002003Beijing Natural Science Foundation No.4152047+1 种基金the 863 project No.2014AA01A701111 Project of China under Grant B14010
文摘With great increase of mobile service in recent years,high quality of experience(QoE) is becoming a comprehensive and major goal for service provider.To unify evaluations of different services,mean opinion score(MOS) as a subjective assessment is usually adopted for accurate and convincing reflection of user perceived quality.In this paper,we consider the effect of the burst transmission of best effort(BE) traffic on the uses with real time video traffic in the same cell.We extend the rate scaling process which was initially used to shape burstiness of BE users as interference to handle the scenario that BE users act as resource competitors with video users.A power reallocation strategy between the two types of users is presented and an algorithm further improving the fairness of BE users is proposed.The simulation results demonstrate that the proposed algorithm can not only promote the QoE of both types of users,but also guarantee the fairness among users.
基金Supported by the Fundamental Research Funds for the Central Universities(2016RC055)
文摘The spectral efficiency(SE)and energy efficiency(EE)tradeoff while ensuring rate fairness among users in non-orthogonal multiple access(NOMA)systems is investigated.In order to characterize the SE-EE tradeoff with rate fairness,a multi-objective optimization(MOO)problem is first formulated,where the rate fairness is represented with theα-fair utility function.Then,the MOO problem is converted into a single-objective optimization(SOO)problem by the weighted sum method.To solve the converted non-convex SOO problem,we apply sequential convex programming,which helps to propose a general power allocation algorithm to realize the SE-EE tradeoff with rate fairness.We prove the convergence of the proposed algorithm and the convergent solution satisfies the KKT conditions.Simulation results demonstrate the proposed power allocation algorithm can achieve various levels of rate fairness,and higher fairness results in degraded performance of SE-EE tradeoff.A pivotal conclusion is reached that NOMA systems significantly outperform orthogonal multiple access systems in terms of SE-EE tradeoff with the same level of rate fairness.
文摘针对毫微微蜂窝(femtocell)网络中多种业务(固定速率业务和可变速率业务)环境下如何公平分配毫微微蜂窝基站(femtocell base station,FBS)资源的问题,提出了一种基于比例公平算法的femto-macro异构网络资源分配算法。该算法以基于比例公平法则的可变速率用户的吞吐量为优化目标,并以每个用户的服务质量(quality of service,Qo S)、FBS的下行传输总功率和宏蜂窝(macrocell)用户的跨层同频干扰门限值为约束组成优化问题。在上述资源分配最优化问题为凸优化问题的基础上,采用对偶分解算法进行求解。仿真结果表明,提出的算法在保证不同用户Qo S的同时,不仅能够有效地公平分配资源给可变速率用户,而且降低了macrocell用户受到来自FBS的跨层同频干扰。
