11,059 research outputs found
Joint Downlink Base Station Association and Power Control for Max-Min Fairness: Computation and Complexity
In a heterogeneous network (HetNet) with a large number of low power base
stations (BSs), proper user-BS association and power control is crucial to
achieving desirable system performance. In this paper, we systematically study
the joint BS association and power allocation problem for a downlink cellular
network under the max-min fairness criterion. First, we show that this problem
is NP-hard. Second, we show that the upper bound of the optimal value can be
easily computed, and propose a two-stage algorithm to find a high-quality
suboptimal solution. Simulation results show that the proposed algorithm is
near-optimal in the high-SNR regime. Third, we show that the problem under some
additional mild assumptions can be solved to global optima in polynomial time
by a semi-distributed algorithm. This result is based on a transformation of
the original problem to an assignment problem with gains , where
are the channel gains.Comment: 24 pages, 7 figures, a shorter version submitted to IEEE JSA
Optimal channel allocation with dynamic power control in cellular networks
Techniques for channel allocation in cellular networks have been an area of
intense research interest for many years. An efficient channel allocation
scheme can significantly reduce call-blocking and calldropping probabilities.
Another important issue is to effectively manage the power requirements for
communication. An efficient power control strategy leads to reduced power
consumption and improved signal quality. In this paper, we present a novel
integer linear program (ILP) formulation that jointly optimizes channel
allocation and power control for incoming calls, based on the
carrier-to-interference ratio (CIR). In our approach we use a hybrid channel
assignment scheme, where an incoming call is admitted only if a suitable
channel is found such that the CIR of all ongoing calls on that channel, as
well as that of the new call, will be above a specified value. Our formulation
also guarantees that the overall power requirement for the selected channel
will be minimized as much as possible and that no ongoing calls will be dropped
as a result of admitting the new call. We have run simulations on a benchmark
49 cell environment with 70 channels to investigate the effect of different
parameters such as the desired CIR. The results indicate that our approach
leads to significant improvements over existing techniques.Comment: 11 page
Resource allocation in OFDMA networks with half-duplex and imperfect full-duplex users
Recent studies indicate the feasibility of in-band fullduplex (FD) wireless
communications, where a wireless radio transmits and receives simultaneously in
the same band. Due to its potential to increase the capacity, analyzing the
performance of a cellular network that contains full-duplex devices is crucial.
In this paper, we consider maximizing the weighted sum-rate of downlink and
uplink of a single cell OFDMA network which consists of an imperfect FD
base-station (BS) and a mixture of half-duplex and imperfect full-duplex mobile
users. To this end, the joint problem of sub-channel assignment and power
allocation is investigated and a two-step solution is proposed. A heuristic
algorithm to allocate each sub-channel to a pair of downlink and uplink users
with polynomial complexity is presented. The power allocation problem is
convexified based on the difference of two concave functions approach, for
which an iterative solution is obtained. Simulation results demonstrate that
when all the users and the BS are perfect FD nodes the network throughput could
be doubled, Otherwise, the performance improvement is limited by the inter-node
interference and the self-interference. We also investigate the effect of the
self-interference cancellation capability and the percentage of FD users on the
network performance in both indoor and outdoor scenarios.Comment: 6 pages, 8 figures, Accepted in IEEE International Conference on
Communication (ICC), Malaysia, 201
Distributed Spectral Efficiency Maximization in Full-Duplex Cellular Networks
Three-node full-duplex is a promising new transmission mode between a
full-duplex capable wireless node and two other wireless nodes that use
half-duplex transmission and reception respectively. Although three-node
full-duplex transmissions can increase the spectral efficiency without
requiring full-duplex capability of user devices, inter-node interference - in
addition to the inherent self-interference - can severely degrade the
performance. Therefore, as methods that provide effective self-interference
mitigation evolve, the management of inter-node interference is becoming
increasingly important. This paper considers a cellular system in which a
full-duplex capable base station serves a set of half-duplex capable users. As
the spectral efficiencies achieved by the uplink and downlink transmissions are
inherently intertwined, the objective is to device channel assignment and power
control algorithms that maximize the weighted sum of the uplink-downlink
transmissions. To this end a distributed auction based channel assignment
algorithm is proposed, in which the scheduled uplink users and the base station
jointly determine the set of downlink users for full-duplex transmission.
Realistic system simulations indicate that the spectral efficiency can be up to
89% better than using the traditional half-duplex mode. Furthermore, when the
self-interference cancelling level is high, the impact of the user-to-user
interference is severe unless properly managed.Comment: 7 pages, 3 figures, accepted in IEEE ICC 2016 - Workshop on Novel
Medium Access and Resource Allocation for 5G Network
Nearly Optimal Resource Allocation for Downlink OFDMA in 2-D Cellular Networks
In this paper, we propose a resource allocation algorithm for the downlink of
sectorized two-dimensional (2-D) OFDMA cellular networks assuming statistical
Channel State Information (CSI) and fractional frequency reuse. The proposed
algorithm can be implemented in a distributed fashion without the need to any
central controlling units. Its performance is analyzed assuming fast fading
Rayleigh channels and Gaussian distributed multicell interference. We show that
the transmit power of this simple algorithm tends, as the number of users grows
to infinity, to the same limit as the minimal power required to satisfy all
users' rate requirements i.e., the proposed resource allocation algorithm is
asymptotically optimal. As a byproduct of this asymptotic analysis, we
characterize a relevant value of the reuse factor that only depends on an
average state of the network.Comment: submitted to IEEE Transactions on Wireless Communication
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