Energy Efficient Mobility Enhancement in LTE Pico–Macro HetNet Systems
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Mobility management plays an important role in heterogeneous networks (HetNets), because it helps to reduce radio link failures, handover delays, and power consumption, and enhances offloading benefits. In the present study, two cases are identified regarding mobility in HetNets. The first one is related to signaling and the second one is related to data transmission; i.e., handover and link rate adaptation. It has been shown that both processes are affected by the user mobility level and that performance deteriorates near cell edges. The aim is to optimize the user offloading to picocells depending on their estimated speeds so that overall system performance is maximized. The network-centric solution and cooperation between cells that achieve seamless handover is presented, and the impact of the performed measurements for link adaptation during motion is investigated.
KeywordsDRX Handover HetNet LTE Link adaptation
The evolution in LTE network topology enhances radio link performance and spectrum efficiency as the fifth generation (5G) networks move toward HetNets. One of the main incentives for the use of HetNets is the increase in capacity, and the enhancement of the coverage of the LTE system . Small cells, such as picocells, are deployed at the macrocell boundaries to improve possibly weak coverage that occurs for several reasons, such as path loss and fading. Picocells are also deployed within the macrocell coverage, in hotspots, to increase the possibility of traffic offloading from larger cells to smaller ones [2, 3].
In the future 5G networks, procedures such as handover and cell reselection are becoming more complex due to the dense deployment of different types of cells and the issues of mobility performance between large and small cells in different environmental conditions. Due to the inherent delay, and therefore non-optimal selected parameters, the performance of heterogeneous networks could undergo high potential degradation if mobility robustness and handover issues are not considered in HetNets compared to macro-only network scenarios .
While mobility in a wireless network has an impact on the handover process, and may cause radio link failure and delays, another challenge is the effect of mobility on the link quality; i.e. link adaptation during connection and data transmission.
Seamless and robust mobility, in addition to handover issues in HetNets, are under consideration for LTE-Advanced in order to reduce delay and packet loss during handover . Mobility enhancements presented in this study have been developed based on the mobility issues addressed in the 3GPP technical report [6, 7]. This report presents the effects of discontinuous reception (DRX) long cycle on the handover at different motion speeds and the results show that a long sleeping period, when the user equipment (UE) switches off the transceiver circuit, causes more radio link failures at higher speeds. The studied speeds are 30, 60 and 120 kmph representing low, medium, and high speeds, respectively.
The cell size and location information are useful for the estimation of the mobility level in the HetNet and this information is made available and accessible through the mobility management entity (MME). In location-based services, there exist various proposals on how to calculate the location of the subscriber; however, these proposals differ in accuracy and complexity. One method is based on additional radio measurements after the UE establishes a radio connection . The distance is estimated by measuring the reference signal received power (RSRP), timing advance, time of arrival and the round trip time . RSRP fingerprint match has been proposed earlier in  in order to guide the UE to hand over to the small cell locations. In  the small cell fingerprint is used to identify the presence of small cells in the network and the mobility level is estimated by considering the number of handovers in a time period (in seconds). However, it does not consider that the cell size and the mobility state (low, medium or high) is not estimated accurately. Therefore, the mobility approach in HetNets should be different from that in macro-only networks because the mobility state estimation (MSE) is not as accurate in HetNets as in a purely macro environment due to different cell sizes. In this study, the UEs proximity to the picocell is detected through location services. Further use of location services is made to estimate the mobility level, where the macrocell estimates the location of the UE through the positioning functions implemented in the eNB. Therefore, enhancements have been introduced in addition to the actions taken to provide seamless handover between cells, and then the effects of mobility on the link quality during connection and data transmission are considered. The geo-location service is considered to support picocell discovery as well as seamless and robust mobility of mobile devices between macro and picocells in LTE HetNets. Furthermore, the effects of the measurement window size on link quality have been studied in some detail.
1.1 Mobility Issues and Radio Link Failures
By deploying a large number of picocells, the site density increases and, consequently, the handover rates increase because the number of handovers is inversely proportional to the cell size. High handover rates imply an increase in the signaling load, and this has an adverse impact on the terminal throughput because there is no data transmission during the handover period. In HetNets, the inter-layer radio resource management is time consuming when the cell selection process is performed frequently. Furthermore, the radio link failures increase due to failures in the handover process .
A radio link failure may occur by performing handover at unsuitable times, i.e., early or late handover triggers. The network should have a fast dynamic response to decide to hand over to a picocell or macrocell or to delay handover for a certain period of time. This dynamic response depends on the UEs position in the macrocell, especially at the cell boundaries where the performance undergoes degradation.
When the UE is connected to the serving macrocell, and if the UE is in a high mobility state, it has to trigger handover after a short period when a better cell is discovered. The fast moving UE passes the handover region quickly; therefore the handover region is not large enough for the UE to complete the handover successfully within this area. The signal from the serving cell is weak, so the UE does not receive the handover command due to physical downlink control channel (PDCCH) outage. The UE leaves the cell coverage area before the handover is complete, and as a result it is not able to continue communicating with the macrocell because its signal is lower than the minimum threshold. It is also not able to connect to the picocell because handover is not completed and this fact will cause a handover failure.
1.2 Mobility Level and Link Adaptation
Mobility has a major impact on the channel condition measurements and the utilization of the data channel. This delays the channel feedback process reported by the UEs to the serving eNB. The reported CQI value on the uplink and its corresponding MCS for one location may not be suitable at another location and may also differ among small and large cells. The channel estimation and reporting are delay-sensitive and the reported SINR values may be different from the actual values that occurred prior to the uplink transmission. Until the throughput is recovered and the CQI value is reported, there will be Hybrid Automatic Repeat Request (HARQ) delays and higher retransmissions rates over the wireless link due to the sharp decrease in the node throughput. A long measurement window gives the UE the time to make reliable measurements. However, at mobility, the reporting delays are a serious concern because they cause ageing of the measurements due to the fast-varying channel. Moreover, the use of picocells configured with a long measurement window size at the macrocell boundaries has remarkable effects. The UE performs link adaptation while it is connected to picocells where the SINR is good because a picocell has a small coverage with a good RSRP signal strength. However, due to mobility it moves to connect to the macrocell where the SINR changes. When a longer measurement window size is used with mobility, the measured signal strength and quality become old values because of sudden channel variations, thus resulting in measurement errors and reporting delays. This issue is addressed when investigating mobility, and efficiency is increased by updating the link adaptation parameters according to mobility levels and acquiring a new CQI report in order to avoid degradation in throughput and poor performance.
2 Improved Small Cell Discovery and Handover
Two issues are addressed with picocells. The first one is that the UE needs to find the picocell to offload data but in some situations it is not aware whether the picocell is available, therefore it has to perform inter-frequency measurements. The second issue is for how long the UE will camp under the newly discovered picocell.
It is important to investigate better strategies to identify and evaluate the candidate cells, and improve handover performance. The proposed actions imply that picocells are avoided in high speed UEs for two reasons, the first of which is UE instability. High mobility triggers large numbers of handovers with a short time of stay, and subsequently the UE has to start new measurements in order to find a new cell. This degrades the UE performance when it passes across a large number of cells and causes significant radio link failures, especially when the cells have small coverage areas, through which the UE can pass quickly after connecting. It will then restart the attach procedure with another cell. The second reason is to avoid instantaneous changes in the load of the small cell. High speed UEs are allocated to a macrocell prune list and will be excluded from handover to picocells and therefore will only hand over to macrocells. Because the UE is suspended from handing over to picocells, the measurements are made less frequently. These less frequent measurements enable the UE to avoid the overhead of handovers to smaller cells and the ping-pong states among them.
On the other hand, in medium and low mobility levels, the UE has to make the best use of offloading to picocells so that the majority of the handovers should go to the deployed picocells. Therefore, enhancement is focused on detecting picocells efficiently. In HetNets, the UE may not be aware of the availability of picocells, so it has to keep performing measurements, which is not efficient for its power consumption. Therefore, the power consumption is higher at low mobility levels due to picocell detection. Moreover, the power consumption is higher when the picocells are operating on different carrier frequencies to those of the UE, and thus the discovery of the picocells could take a longer time if they operate in an on/off mode.
The UE has to be aware of the picocells presence before it starts the measurement. The proposed solution is that the serving cell indicates the picocells existence through the measurement-reporting configuration, or, if it is possible, the serving cell broadcasts this indication. This solution aims to optimize the cell search and selection during motion and ensure that the UE will not start a cell search and will not connect to a picocell until it is close to this picocell. In this way, the UE saves time and does not need to spend power on measuring the surrounding environment. When the UE starts to approach a picocell, the macrocell triggers measurement reporting to the UE and the UE starts to generate reports to perform handover (Fig. 2). If the macrocell provides information about the picocell band, the cell search and measurement will significantly improve.
Through network guidance, network offloading is guaranteed in low and medium mobility levels, thus helping to reduce the effects of the dynamic nature of traffic within the picocell. In this way, the reference signals (RS) and control signals transmitted by the picocells are reduced, alleviating the interference resulting from these signals. The macrocell contacts the MME to update its records about the presence and location of the picocells. If the picocell has a low number of UEs, the macrocell may not guide the UE to that picocell and this cell could be turned off to save energy in an on/off mechanism.
3 System Implementation
OPNET 18.0 is used to model all handover features including neighbour advertisements, scanning, dynamic selection and many others. Also, the link rate adaptation and location services are available and modelled according to the 3GPP standards within the OPNET LTE model. In the simulated scenarios, all the cells are interconnected with the EPC.
The picocell distribution used is adopted from the 3GPP standard . UE placement and trajectories are defined for mobility and simulation calibration as follows: one trajectory is at the cell boundary and the other is inside the cell, but both trajectories traverse across multiple cells in order to receive different strength signals during motion. Some picocells could be in a good position for handover, while others might be in an unsuitable position. The UEs are randomly placed in the simulation area and they are allowed to move at one of three randomly selected speeds, i.e., 30 kmph, 60 kmph or 120 kmph. An IP flow is created between every UE and the server to maintain resource utilization and data connectivity during motion.
4 Results and Discussion
Measurement events and UEs power consumption
No. of measurement events
UE total power consumption (mWh)
The effects of mobility on measurements and link adaptation parameters are revealed by investigating the effects of the measurement window size during different mobility states. Reporting delay causes instantaneous drops in the throughput and sometimes the drops are sharp and the throughput decreases by a large percentage before it recovers and then the drops occur repeatedly. The maximum percentage of instant cell edge throughput drops among different mobility levels is demonstrated in Fig. 6 for different values of measurement window size. The adverse effects of using long measurement windows at high mobility levels appear clearly on the UEs received throughput due to ageing of the reported measurements. On the other hand, the figure indicates that at low speeds, the measurement window size has a minor effect on the transmission because the UE has enough time to perform measurements and report the link condition. Depending on the link condition and the position of the UE in the cell, the effects of high-speed mobility can deteriorate and this is due to inaccuracy and errors in the SINR measurement process, in addition to the errors occurring in the quantization of the SINR values; there is also a delay between performing the measurement and the actual data transmissions. Link failures and retransmissions at distances far from the cell centre result in delays in updating and reporting the link parameters.
In this study, it has been shown that keeping the same parameter configurations with different mobility levels in HetNets is not an efficient solution. This is due to potential failures in handover commands and ageing of the reported parameters. Furthermore, there is a need for an effective approach to accurately localize the mobile devices within the network. In this regard, the proposed method leads to enhanced cooperation between the macrocell and the underlying picocells. In this way, the mobility performance indicators are improved, including the consumed power from the UEs battery, the instantaneous throughput degradation, and the reduction of the overhead of signaling while connecting to a large number of cells during motion.
On the other hand, link adaptation is a vital process for data transmission in the LTE system. However, at medium to high speeds, link adaptation can potentially have an adverse impact on the received traffic, especially in the case where the UE performs channel measurements using a long window size. Therefore, network operators need to optimize and consider the impact of the set link adaptation parameters, especially at the cell boundaries.
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