Download 4G Femtocells: Resource Allocation and Interference by Haijun Zhang, Xiaoli Chu, Xiangming Wen PDF

By Haijun Zhang, Xiaoli Chu, Xiangming Wen

This short examines source allocation and interference administration for 4G femtocells. It introduces 4G femtocells within the context of 4G cellular networks and discusses comparable technical demanding situations in source allocation and interference administration. issues contain ant colony set of rules established downlink source allocation, clever scheduling and tool regulate, uplink and downlink for two-tier networks, caliber of carrier (QoS) constraints and the cross-tier interference constraint. The authors current algorithms to relieve universal femtocell-related difficulties resembling subchannel strength allocation. The complexity of the proposed source allocation algorithms is analyzed, and the effectiveness of the proposed algorithms is confirmed via simulations. This concise and sensible publication without delay addresses universal difficulties on the subject of femtocells and source administration. It serves as a great tool for researchers within the box. Advanced-level scholars or pros attracted to femtocells and networks also will locate the content material helpful.

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18) to zero and solving the resulting equation for pFk,n . 22) Theorem 2. The FNPAG has a unique Nash Equilibrium. Proof. It can be proved following similar proof in [6, 27]. 21), the interferenceaware femtocell uplink subchannel allocation scheme and power allocation scheme proposed in Sects. 3 can be implemented in a distributed and semidistributed manner, respectively, as outlined in Algorithm 1. FM Note that, gFF k, j,v,n and gk,w,n for the uplink can be estimated at femto user u in femtocell k by measuring the downlink channel gain of subchannel n from femtocell j and the macrocell, respectively, and utilizing the symmetry between uplink and downlink channels, or by using the site specific knowledge [6].

After introducing a price proportional to the cross-tier interference, Pareto improvement can be obtained. Furthermore, based on the non-cooperative game, we devise a distributed power allocation algorithm together with an optimal price seeking algorithm. Simulation results show that the proposed algorithm can improve users’ utilities significantly, compared with existing power control algorithms. 1 Introduction Recently, more and more data services occur in indoor environments [1], where the coverage of macrocells may not be good enough because of the wall penetration losses and long transmission distances from the outdoor macrocell base stations.

However, in these works, joint subchannel and power allocation with users’ QoS and cross-tier interference considerations is not studied. In [8], a distributed modulation and coding scheme, subchannel and power allocation that supports different throughput constraints per users is proposed, but it does not consider two-tier networks. Femtocell networks should support the heterogeneous QoS for the delay sensitive services such as online gaming and video phone calls, while maximizing the throughput of delay tolerant services [9].

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