The Experts below are selected from a list of 249 Experts worldwide ranked by ideXlab platform

Preben Mogensen - One of the best experts on this subject based on the ideXlab platform.

  • reducing lte uplink transmission energy by allocating Resources
    Vehicular Technology Conference, 2011
    Co-Authors: Mads Lauridsen, Anders R Jensen, Preben Mogensen
    Abstract:

    The effect of Physical Resource Block (PRB) allocation on an LTE modem's transmit power and total modem energy consumption is examined. In this paper the uplink Resource Blocks are scheduled in either a Frequency Division Multiple Access (FDMA) or Time Division Multiple Access (TDMA) manner, to determine if low transmission power & long transmission time or high transmission power & short transmission time is most energy efficient. It is important to minimize the LTE modem's energy consumption caused by uplink transmission because it affects phone battery time, and because researchers rarely focus on energy consumption when they optimize network controlled uplink transmission power parameters. Simulations based on a simple traffic model and a power consumption model show the TDMA scheme, where one user is allocated all 48 PRBs in a 10 MHz channel, is at least 24 % more energy efficient than the FDMA like approach with 8 PRBs per user. Furthermore the TDMA scheme decreases the average transmission time with minimum 24 %.

  • VTC Fall - Reducing LTE Uplink Transmission Energy by Allocating Resources
    2011 IEEE Vehicular Technology Conference (VTC Fall), 2011
    Co-Authors: Mads Lauridsen, Anders R Jensen, Preben Mogensen
    Abstract:

    The effect of Physical Resource Block (PRB) allocation on an LTE modem's transmit power and total modem energy consumption is examined. In this paper the uplink Resource Blocks are scheduled in either a Frequency Division Multiple Access (FDMA) or Time Division Multiple Access (TDMA) manner, to determine if low transmission power & long transmission time or high transmission power & short transmission time is most energy efficient. It is important to minimize the LTE modem's energy consumption caused by uplink transmission because it affects phone battery time, and because researchers rarely focus on energy consumption when they optimize network controlled uplink transmission power parameters. Simulations based on a simple traffic model and a power consumption model show the TDMA scheme, where one user is allocated all 48 PRBs in a 10 MHz channel, is at least 24 % more energy efficient than the FDMA like approach with 8 PRBs per user. Furthermore the TDMA scheme decreases the average transmission time with minimum 24 %.

Mads Lauridsen - One of the best experts on this subject based on the ideXlab platform.

  • reducing lte uplink transmission energy by allocating Resources
    Vehicular Technology Conference, 2011
    Co-Authors: Mads Lauridsen, Anders R Jensen, Preben Mogensen
    Abstract:

    The effect of Physical Resource Block (PRB) allocation on an LTE modem's transmit power and total modem energy consumption is examined. In this paper the uplink Resource Blocks are scheduled in either a Frequency Division Multiple Access (FDMA) or Time Division Multiple Access (TDMA) manner, to determine if low transmission power & long transmission time or high transmission power & short transmission time is most energy efficient. It is important to minimize the LTE modem's energy consumption caused by uplink transmission because it affects phone battery time, and because researchers rarely focus on energy consumption when they optimize network controlled uplink transmission power parameters. Simulations based on a simple traffic model and a power consumption model show the TDMA scheme, where one user is allocated all 48 PRBs in a 10 MHz channel, is at least 24 % more energy efficient than the FDMA like approach with 8 PRBs per user. Furthermore the TDMA scheme decreases the average transmission time with minimum 24 %.

  • VTC Fall - Reducing LTE Uplink Transmission Energy by Allocating Resources
    2011 IEEE Vehicular Technology Conference (VTC Fall), 2011
    Co-Authors: Mads Lauridsen, Anders R Jensen, Preben Mogensen
    Abstract:

    The effect of Physical Resource Block (PRB) allocation on an LTE modem's transmit power and total modem energy consumption is examined. In this paper the uplink Resource Blocks are scheduled in either a Frequency Division Multiple Access (FDMA) or Time Division Multiple Access (TDMA) manner, to determine if low transmission power & long transmission time or high transmission power & short transmission time is most energy efficient. It is important to minimize the LTE modem's energy consumption caused by uplink transmission because it affects phone battery time, and because researchers rarely focus on energy consumption when they optimize network controlled uplink transmission power parameters. Simulations based on a simple traffic model and a power consumption model show the TDMA scheme, where one user is allocated all 48 PRBs in a 10 MHz channel, is at least 24 % more energy efficient than the FDMA like approach with 8 PRBs per user. Furthermore the TDMA scheme decreases the average transmission time with minimum 24 %.

Gang Feng - One of the best experts on this subject based on the ideXlab platform.

  • transmission scheduling and game theoretical power allocation for interference coordination in comp
    IEEE Transactions on Wireless Communications, 2014
    Co-Authors: Shu Fu, Bin Wu, Pinhan Ho, Gang Feng
    Abstract:

    In 3GPP LTE-A, Coordinated Multi-Point (CoMP) is adopted to enhance the transmission rates of edge users. To maximize the total downlink throughput of all edge users, it is crucial to properly determine the set of simultaneously served users in each Physical Resource Block (PRB) and the cooperative base stations (BSs) for each scheduled user, as well as the transmit power of the BSs. Based on the reference signal receiving power (RSRP) of each edge user, we first propose two simple and integrated transmission scheduling algorithms, one distributed and the other centralized, to choose cell-edge users and cooperative BSs in each PRB. With the scheduling results, the classic Water-Filling (WF) algorithm is carried out over all PRBs at each BS to get an initial single cell power allocation. To take the interference among different cooperative BS sets into account, we further formulate a non-cooperative power allocation game to adjust the initial power allocation for interference coordination, where the initial power allocation provides the strategy space of the game for each BS. This increases the total downlink throughput of edge users over all BSs. We prove that the game has a unique Nash Equilibrium (NE), and design an algorithm to find the NE. Performance gain is then demonstrated through extensive simulation studies.

Shahid Mumtaz - One of the best experts on this subject based on the ideXlab platform.

  • narrowband internet of things nb iot from Physical phy and media access control mac layers perspectives
    Sensors, 2019
    Co-Authors: Collins Burton Mwakwata, Hassan Malik, Muhammad Mahtab Alam, Yannick Le Moullec, Sven Parand, Shahid Mumtaz
    Abstract:

    Narrowband internet of things (NB-IoT) is a recent cellular radio access technology based on Long-Term Evolution (LTE) introduced by Third-Generation Partnership Project (3GPP) for Low-Power Wide-Area Networks (LPWAN). The main aim of NB-IoT is to support massive machine-type communication (mMTC) and enable low-power, low-cost, and low-data-rate communication. NB-IoT is based on LTE design with some changes to meet the mMTC requirements. For example, in the Physical (PHY) layer only single-antenna and low-order modulations are supported, and in the Medium Access Control (MAC) layers only one Physical Resource Block is allocated for Resource scheduling. The aim of this survey is to provide a comprehensive overview of the design changes brought in the NB-IoT standardization along with the detailed research developments from the perspectives of Physical and MAC layers.

Shu Fu - One of the best experts on this subject based on the ideXlab platform.

  • transmission scheduling and game theoretical power allocation for interference coordination in comp
    IEEE Transactions on Wireless Communications, 2014
    Co-Authors: Shu Fu, Bin Wu, Pinhan Ho, Gang Feng
    Abstract:

    In 3GPP LTE-A, Coordinated Multi-Point (CoMP) is adopted to enhance the transmission rates of edge users. To maximize the total downlink throughput of all edge users, it is crucial to properly determine the set of simultaneously served users in each Physical Resource Block (PRB) and the cooperative base stations (BSs) for each scheduled user, as well as the transmit power of the BSs. Based on the reference signal receiving power (RSRP) of each edge user, we first propose two simple and integrated transmission scheduling algorithms, one distributed and the other centralized, to choose cell-edge users and cooperative BSs in each PRB. With the scheduling results, the classic Water-Filling (WF) algorithm is carried out over all PRBs at each BS to get an initial single cell power allocation. To take the interference among different cooperative BS sets into account, we further formulate a non-cooperative power allocation game to adjust the initial power allocation for interference coordination, where the initial power allocation provides the strategy space of the game for each BS. This increases the total downlink throughput of edge users over all BSs. We prove that the game has a unique Nash Equilibrium (NE), and design an algorithm to find the NE. Performance gain is then demonstrated through extensive simulation studies.

  • interference coordination in comp with transmission scheduling and game theoretical power reallocation
    International Conference on Communications, 2012
    Co-Authors: Shu Fu, Bin Wu, Pinhan Ho, Xiang Ling
    Abstract:

    In LTE-A (3GPP LTE-Advance) systems, CoMP (Cooperative Multi-Point) is adopted to enhance the performance of edge users. To maximize the edge user throughput, it is very crucial to properly determine the set of simultaneously served users in the same PRB (Physical Resource Block) and cooperating BSs (base stations) for each selected user, as well as the transmit power of the BSs. In this paper, we first propose a simple scheduling algorithm to choose cell-edge mobile stations (MSs) and cooperating BSs for each PRB according to the RSRP (reference signal receiving power) of each MS, based on which the classic Water-Filling (WF) is applied at each BS to allocate transmit power over all PRBs. However, the objective of single cell power allocation is to maximize the throughput of each individual cell without considering interference among different cooperating BS sets. Therefore, we further formulate a power reallocation mechanism using non-cooperative game theory to refine the single cell WF result for interference coordination, which maximizes the total edge user throughput over all BSs and PRBs by properly taking CCI (co-channel interference) into account. Based on proving the existence of a unique Nash Equilibrium for the formulated game, we design an algorithm to find the Nash Equilibrium and demonstrate the performance gain through extensive simulation studies.