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Caching contents at base stations (BSs) has emerged as an effective way to offload backhaul traffic and improve quality of experience (QoE). Considering the limited cache size, how to maximize cache efficiency has become an urgent issue to be addressed. In this paper, we consider caching selected contents at small cell base stations (SBSs) in ultra dense network (UDN). The cache efficiency problem...
Ultra-Dense Network (UDN) is a promising technology to cope with explosively increasing traffic demands. Delay is an important performance indicator in UDN. In this paper, we analyze the impacts of average sleeping time of BS and association radius on the mean delay in UDN. The explicit relationship between delay and the average sleeping time and association radius is presented. An M/G/1/N processor...
Mobile Network Virtualization (NV) is an emerging technique where multiple mobile network providers can share the infrastructure and the physical resources with each other, which leads to the improvement of system performance and the reduce of overall costs. In this paper, we propose a framework for inter-operator resource sharing through base station (BS) virtualization in Long Term Evolution (LTE)...
In this paper, a user association scheme for load balancing in a downlink Heterogeneous cellular network (HetNet) incorporating almost blank subframe (ABS) for interference management is proposed. The joint user association and ABS optimization problem is formulated as maximizing a Logarithmic utility function. Since the joint optimization problem is non-convex and NP-hard, the block coordinate descent...
Dual connectivity is a promising architecture for the future hyper-dense wireless cellular network to meet the rapidly increasing demand of wireless data transmission. In this architecture, the control plane (C-plane) and the user plane (U-plane) are split and a User Equipment (UE) simultaneously connects to two different cells: the Primary Cell (PCell) which is in charge of the C-plane, and the Secondary...
In this paper, a low-complexity practical energy saving algorithm by switching off/on some eNBs in a real dense urban scenario considering historical and real-time eNB load is proposed. First, eNBs are ranked according to their loads in an ascending order and the first eNB in the list with load decreasing and smaller than a low threshold is pre-selected as target switching off cell. Then, the effect...
Efficient discovery of multiple small cells is important to features such as small cell on/off, load balancing, CoMP (Coordinated Multi-point Transmission), e-ICIC (enhanced-Inter-Cell Interference Coordination) in LTE (Long Term Evolution) hyper-dense networks. However, severe interference in the Hyper-Dense Networks imposes great difficulty on efficient discovery of small cells. This paper proposes...
In this paper, a low complexity algorithm is proposed to improve energy efficiency in LTE networks. Energy efficiency optimization issue is formulated as NP-hard problem which requires high computational cost due to optimal exhaustive search (ES). Then a low complexity energy efficiency optimization algorithm (LCEEO) based on optimal switching-off eNB selection is proposed. With LCEEO, eNBs will be...
In this paper, cost function for routing is studied. By introduction of improved cost function, an improved algorithm is proposed. Compared with the original algorithm, the improved algorithm is more stable and the feasible solution obtained is closer to the upper bound of optimal solution. The optimal solution lies between the upper bound and the feasible solution, so the feasible solution is even...
Channel estimation is crucial for the performance of OFDM systems. In this paper, at first we describe the LS channel estimator based on transform domain processing and an iterative algorithm to improve the performance of channel estimator. Both of them could remove the additive Gaussian noise in the LS channel estimate effectively. Then we initially apply this iterative algorithm to the introduced...
Literature [1] proposed new blind joint data and channel estimator solved by Sphere Decoding algorithm. In this paper, based on this new estimator we propose two modified blind joint estimators. Both of them extend the number of employed OFDM symbols from one to a limited quantity. The first modified estimator, as the original one, assumes that the channel impulse response (CIR) is constant in one...
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