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DESCRIPTION:In this talk\, the tradeoff between energy efficiency and spect
 ral efficiency in multicell heterogeneous networks is investigated. Our ob
 jective is to maximize both energy efficiency and spectral efficiency of t
 he network\, while satisfying the minimum rate requirements of the users. 
 We define our objective function as the weighted summation of energy effic
 iency and spectral efficiency functions. The fractional frequency reuse (F
 FR) scheme is employed to suppress intercell interference. We formulate th
 e problem as cell-center boundary selection for FFR\, frequency assignment
  to users\, and power allocation. The optimal solution to this problem req
 uires exhaustive search over all cell-center radii\, frequency assignments
 \, and power levels. We propose a three-stage algorithm and apply it conse
 cutively until convergence. First\, we select the cell-center radius for t
 he FFR method. Second\, we assign the frequency resources to users to sati
 sfy their rate requirements and maximize the objective function. Third\, w
 e solve the power allocation subproblem by using the Levenberg-Marquardt m
 ethod. Minimum rate requirements of users are also included in the solutio
 n by using dual decomposition techniques. Our numerical results show a Par
 eto-optimal solution for energy efficiency and spectral efficiency. We pre
 sent energy efficiency\, spectral efficiency\, outage probability\, and av
 erage transmit power results for different minimum rate constraints. Among
  other results\, we show that\, in a particular setting\, 13% energy effic
 iency increase can be obtained in a multicell heterogeneous wireless netwo
 rk by sacrificing 7% spectral efficiency.\n\nSpeaker(s): Ender Ayanoglu \,
  \n\nVirtual: https://events.vtools.ieee.org/m/466455
LOCATION:Virtual: https://events.vtools.ieee.org/m/466455
ORGANIZER:isayan@ieee.org
SEQUENCE:21
SUMMARY:Energy- and Spectral-Efficient Resource Allocation Algorithm for He
 terogeneous Networks
URL;VALUE=URI:https://events.vtools.ieee.org/m/466455
X-ALT-DESC:Description: <br /><p>In this talk\, the tradeoff between energy
  efficiency and spectral efficiency in multicell heterogeneous networks is
  investigated. Our objective is to maximize both energy efficiency and spe
 ctral efficiency of the network\, while satisfying the minimum rate requir
 ements of the users. We define our objective function as the weighted summ
 ation of energy efficiency and spectral efficiency functions. The fraction
 al frequency reuse (FFR) scheme is employed to suppress intercell interfer
 ence. We formulate the problem as cell-center boundary selection for FFR\,
  frequency assignment to users\, and power allocation. The optimal solutio
 n to this problem requires exhaustive search over all cell-center radii\, 
 frequency assignments\, and power levels. We propose a three-stage algorit
 hm and apply it consecutively until convergence. First\, we select the cel
 l-center radius for the FFR method. Second\, we assign the frequency resou
 rces to users to satisfy their rate requirements and maximize the objectiv
 e function. Third\, we solve the power allocation subproblem by using the 
 Levenberg-Marquardt method. Minimum rate requirements of users are also in
 cluded in the solution by using dual decomposition techniques. Our numeric
 al results show a Pareto-optimal solution for energy efficiency and spectr
 al efficiency. We present energy efficiency\, spectral efficiency\, outage
  probability\, and average transmit power results for different minimum ra
 te constraints. Among other results\, we show that\, in a particular setti
 ng\, 13% energy efficiency increase can be obtained in a multicell heterog
 eneous wireless network by sacrificing 7% spectral efficiency.</p>
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